Wed, 21 Oct 2026

Package rmoriedata updated to version 0.4.0 with previous version 0.3.3 dated 2026-09-24

Title: Integrated Datasets for the 'rmorie' Package
Description: Integrated open data fixtures used by the 'rmorie' package for examples, vignettes, and tests. Contains snapshots of publicly available datasets from open-data portals built on the Comprehensive Knowledge Archive Network ('CKAN', <https://ckan.org/>), 'Socrata' (<https://dev.socrata.com/>), and 'Opendatasoft' (<https://www.huwise.com/>) (Chicago, New York City, Toronto, Vancouver, and others), Statistics Canada Canadian Centre for Justice and Community Safety Statistics ('CCJS') tables, a multi-agent-reviewed corpus of Ontario Special Investigations Unit ('SIU', <https://www.siu.on.ca/>) director's reports, and synthetic fixtures for unit tests. Also ships a small set of disclosure-control helpers for aggregate releases: differential privacy (an exact discrete Laplace sampler for counts and the analytic Gaussian mechanism for means, drawing on the operating system's random source, with privacy-budget accounting), k-anonymity and l-diversity checks, and cell supp [...truncated...]
Author: Vansh Singh Ruhela [aut, cre]
Maintainer: Vansh Singh Ruhela <vsruhela@proton.me>

Diff between rmoriedata versions 0.3.3 dated 2026-09-24 and 0.4.0 dated 2026-10-21

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 rmoriedata-0.3.3/rmoriedata/man/load_cihi_data_tables.Rd                                                             |only
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 rmoriedata-0.4.0/rmoriedata/DESCRIPTION                                                                              |   29 
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 rmoriedata-0.4.0/rmoriedata/NAMESPACE                                                                                |   47 -
 rmoriedata-0.4.0/rmoriedata/NEWS.md                                                                                  |  178 +++
 rmoriedata-0.4.0/rmoriedata/R/aaa_parquet.R                                                                          |  369 ++++---
 rmoriedata-0.4.0/rmoriedata/R/ask.R                                                                                  |  148 ++-
 rmoriedata-0.4.0/rmoriedata/R/bl_compat.R                                                                            |only
 rmoriedata-0.4.0/rmoriedata/R/core_backend.R                                                                         |   45 
 rmoriedata-0.4.0/rmoriedata/R/data.R                                                                                 |    8 
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 rmoriedata-0.4.0/rmoriedata/R/dp.R                                                                                   |  469 +++++++---
 rmoriedata-0.4.0/rmoriedata/R/k_anonymity.R                                                                          |  282 +++---
 rmoriedata-0.4.0/rmoriedata/R/load_chicago_data.R                                                                    |   96 +-
 rmoriedata-0.4.0/rmoriedata/R/load_cihi.R                                                                            |   46 
 rmoriedata-0.4.0/rmoriedata/R/load_siu_reports.R                                                                     |   74 +
 rmoriedata-0.4.0/rmoriedata/R/provenance.R                                                                           |   29 
 rmoriedata-0.4.0/rmoriedata/R/vic_data.R                                                                             |   14 
 rmoriedata-0.4.0/rmoriedata/R/zzz.R                                                                                  |   21 
 rmoriedata-0.4.0/rmoriedata/inst/CITATION                                                                            |    5 
 rmoriedata-0.4.0/rmoriedata/inst/NOTICE                                                                              |only
 rmoriedata-0.4.0/rmoriedata/inst/WORDLIST                                                                            |only
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 rmoriedata-0.4.0/rmoriedata/inst/doc/rmoriedata.Rmd                                                                  |   46 
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 rmoriedata-0.4.0/rmoriedata/inst/extdata/_checksums.csv                                                              |  209 ++--
 rmoriedata-0.4.0/rmoriedata/inst/extdata/_checksums.sig                                                              |    2 
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 rmoriedata-0.4.0/rmoriedata/man/cellsupp.Rd                                                                          |only
 rmoriedata-0.4.0/rmoriedata/man/chiclr.Rd                                                                            |only
 rmoriedata-0.4.0/rmoriedata/man/chiload.Rd                                                                           |only
 rmoriedata-0.4.0/rmoriedata/man/cihiget.Rd                                                                           |only
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 rmoriedata-0.4.0/rmoriedata/man/dpgmean.Rd                                                                           |only
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 rmoriedata-0.4.0/rmoriedata/man/figures                                                                              |only
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 rmoriedata-0.4.0/rmoriedata/man/ldivvrf.Rd                                                                           |only
 rmoriedata-0.4.0/rmoriedata/man/mdask.Rd                                                                             |only
 rmoriedata-0.4.0/rmoriedata/man/mdcat.Rd                                                                             |only
 rmoriedata-0.4.0/rmoriedata/man/mddict.Rd                                                                            |only
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 rmoriedata-0.4.0/rmoriedata/man/mdload.Rd                                                                            |only
 rmoriedata-0.4.0/rmoriedata/man/mdpath.Rd                                                                            |only
 rmoriedata-0.4.0/rmoriedata/man/mdsums.Rd                                                                            |only
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 rmoriedata-0.4.0/rmoriedata/man/morie_write_parquet.Rd                                                               |    5 
 rmoriedata-0.4.0/rmoriedata/man/rmoriedata-package.Rd                                                                |   17 
 rmoriedata-0.4.0/rmoriedata/man/rmoriedata-victoria.Rd                                                               |   12 
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 rmoriedata-0.4.0/rmoriedata/src/Makevars                                                                             |only
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 rmoriedata-0.4.0/rmoriedata/src/gzip.c                                                                               |only
 rmoriedata-0.4.0/rmoriedata/src/rmoriedata_init.c                                                                    |   11 
 rmoriedata-0.4.0/rmoriedata/src/snappy.c                                                                             |only
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 rmoriedata-0.4.0/rmoriedata/tests/testthat/test-core-backend.R                                                       |   26 
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 rmoriedata-0.4.0/rmoriedata/tests/testthat/test-data-integrity.R                                                     |   42 
 rmoriedata-0.4.0/rmoriedata/tests/testthat/test-data-store.R                                                         |   30 
 rmoriedata-0.4.0/rmoriedata/tests/testthat/test-download-progress.R                                                  |only
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 rmoriedata-0.4.0/rmoriedata/tests/testthat/test-k-anonymity.R                                                        |  120 +-
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Package rdracor updated to version 1.1.0 with previous version 1.0.6 dated 2025-09-29

Title: Access to the 'DraCor' API
Description: Provide an interface for 'Drama Corpora Project' ('DraCor') API: <https://dracor.org/documentation/api>.
Author: Ivan Pozdniakov [aut, cre]
Maintainer: Ivan Pozdniakov <bucherr@yandex.ru>

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Package qslice updated to version 0.4.0 with previous version 0.3.1 dated 2024-05-30

Title: Implementations of Various Slice Samplers
Description: Implementations of the quantile slice sampler of Heiner et al. (2026+, in preparation) <doi:10.48550/arXiv.2407.12608> as well as other popular slice samplers are provided. Helper functions for specifying pseudo-target distributions are included, both for diagnostics and for tuning the quantile slice sampler. Other implemented methods include the generalized elliptical slice sampler of Nishihara et al. (2014) <https://jmlr.org/papers/v15/nishihara14a.html>, latent slice sampler of Li and Walker (2023) <doi:10.1016/j.csda.2022.107652>, and stepping-out slice sampler of Neal (2003) <doi:10.1214/aos/1056562461>, as well as independence Metropolis-Hastings and random-walk Metropolis samplers.
Author: Matthew Heiner [aut] , David B. Dahl [aut, cre] , Sam Johnson [aut]
Maintainer: David B. Dahl <dahl@stat.byu.edu>

Diff between qslice versions 0.3.1 dated 2024-05-30 and 0.4.0 dated 2026-10-21

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Package gdxtools updated to version 1.2.0 with previous version 1.1.1 dated 2026-05-28

Title: Manipulate 'GDX' Files
Description: Read and write 'GDX' files ('GAMS' data exchange) and convert parameters, sets and variables to data frames. Backed by the 'GAMS'-maintained 'gamstransfer' package; no compiled code is shipped. See <https://www.gams.com/latest/docs/UG_GDX.html> for the 'GDX' format.
Author: Laurent Drouet [aut, cre]
Maintainer: Laurent Drouet <ldrouet@pm.me>

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Package eClosure updated to version 0.9.7 with previous version 0.9.6 dated 2026-08-26

Title: Methods Based on the e-Closure Principle
Description: Implements several methods for False Discovery Rate control based on the e-Closure Principle, in particular the Closed Benjamini-Hochberg, Closed e-Benjamini-Hochberg, Closed Su and Closed Benjamini-Yekutieli procedures.
Author: Jelle Goeman [aut, cre]
Maintainer: Jelle Goeman <j.j.goeman@lumc.nl>

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Package agecrypt updated to version 0.1.1 with previous version 0.1.0 dated 2026-08-05

Title: File Encryption with the 'age' Format
Description: An idiomatic R interface to the 'age' file encryption format (<https://age-encryption.org/v1>), backed by a vendored copy of the 'agec' C implementation (<https://git.sr.ht/~min/agec>). Encrypt and decrypt raw vectors, files, and strings for one or more X25519 recipients or with a passphrase, with optional ASCII armor. Cryptography is vendored and randomness is drawn from the operating system, so the package has no external library dependencies.
Author: Pedro Baltazar [aut, cre, cph], agec authors [ctb, cph]
Maintainer: Pedro Baltazar <pedrobtz@gmail.com>

Diff between agecrypt versions 0.1.0 dated 2026-08-05 and 0.1.1 dated 2026-10-21

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Package rmoriebricklayer updated to version 1.0.0 with previous version 0.5.1 dated 2026-09-21

Title: Reproducible Data Capsules with Provenance and Fallback
Description: For analyzing published and unpublished tables, from open-data portals and statistical agencies to a researcher's own data, so that a result can be traced to the exact data behind it and checked again afterwards. A 'capsule' records where each source came from, its Secure Hash Algorithm 256 ('SHA-256') hash, the schema it should have and an archived copy in the Internet Archive 'Wayback Machine' ('web.archive.org'); sources are found through the Comprehensive Knowledge Archive Network ('CKAN', 'ckan.org'). Run again, a capsule says whether each source still matches and, if it does not, how its distribution moved (Kolmogorov-Smirnov, chi-square, population stability index and 'Benford' first-digit screens), and when a source cannot be reached it runs on schema-driven synthetic data that is marked as such. Capsules can be signed with keyed hashes ('HMAC-SHA-256', RFC 2104) or with the post-quantum signature standards 'ML-DSA' (FIPS 204), 'SLH-DSA' (FIPS 205) and 'XMSS' (RFC 8391), implem [...truncated...]
Author: Vansh Singh Ruhela [aut, cre]
Maintainer: Vansh Singh Ruhela <vsruhela@proton.me>

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 rmoriebricklayer-1.0.0/rmoriebricklayer/DESCRIPTION                                    |   90 
 rmoriebricklayer-1.0.0/rmoriebricklayer/MD5                                            | 1271 ++--
 rmoriebricklayer-1.0.0/rmoriebricklayer/NAMESPACE                                      |  775 +-
 rmoriebricklayer-1.0.0/rmoriebricklayer/NEWS.md                                        | 3112 +++++++++-
 rmoriebricklayer-1.0.0/rmoriebricklayer/R/aaa_input_guards.R                           |  619 +
 rmoriebricklayer-1.0.0/rmoriebricklayer/R/aaa_local_seed.R                             |   63 
 rmoriebricklayer-1.0.0/rmoriebricklayer/R/agent_bundle.R                               |  119 
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 rmoriebricklayer-1.0.0/rmoriebricklayer/R/analyse_table.R                              |  478 +
 rmoriebricklayer-1.0.0/rmoriebricklayer/R/archive_capture.R                            |only
 rmoriebricklayer-1.0.0/rmoriebricklayer/R/areal.R                                      |  602 +
 rmoriebricklayer-1.0.0/rmoriebricklayer/R/attest.R                                     |  463 +
 rmoriebricklayer-1.0.0/rmoriebricklayer/R/bands.R                                      |  519 +
 rmoriebricklayer-1.0.0/rmoriebricklayer/R/bundle.R                                     |  271 
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 rmoriebricklayer-1.0.0/rmoriebricklayer/R/capsule_template.R                           |  142 
 rmoriebricklayer-1.0.0/rmoriebricklayer/R/categorical_guard.R                          | 1292 ++--
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 rmoriebricklayer-1.0.0/rmoriebricklayer/R/chain.R                                      |  255 
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 rmoriebricklayer-1.0.0/rmoriebricklayer/R/concentration.R                              |  674 +-
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 rmoriebricklayer-1.0.0/rmoriebricklayer/R/core_hawkes_fit.R                            |only
 rmoriebricklayer-1.0.0/rmoriebricklayer/R/core_stats.R                                 |  963 ++-
 rmoriebricklayer-1.0.0/rmoriebricklayer/R/crypto_extra.R                               |  309 
 rmoriebricklayer-1.0.0/rmoriebricklayer/R/custody.R                                    |  511 +
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 rmoriebricklayer-1.0.0/rmoriebricklayer/R/digest_extra.R                               |  574 +
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 rmoriebricklayer-1.0.0/rmoriebricklayer/R/drbg.R                                       |only
 rmoriebricklayer-1.0.0/rmoriebricklayer/R/drift.R                                      |  922 ++
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 rmoriebricklayer-1.0.0/rmoriebricklayer/R/eda.R                                        |  418 -
 rmoriebricklayer-1.0.0/rmoriebricklayer/R/eda2.R                                       |  225 
 rmoriebricklayer-1.0.0/rmoriebricklayer/R/explain_error.R                              |only
 rmoriebricklayer-1.0.0/rmoriebricklayer/R/falsify.R                                    |  183 
 rmoriebricklayer-1.0.0/rmoriebricklayer/R/fetch_native.R                               |  174 
 rmoriebricklayer-1.0.0/rmoriebricklayer/R/fetch_siu.R                                  |  105 
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 rmoriebricklayer-1.0.0/rmoriebricklayer/R/json_gzip.R                                  |  147 
 rmoriebricklayer-1.0.0/rmoriebricklayer/R/json_native.R                                | 1565 ++---
 rmoriebricklayer-1.0.0/rmoriebricklayer/R/justice.R                                    |only
 rmoriebricklayer-1.0.0/rmoriebricklayer/R/kem.R                                        |  372 -
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 rmoriebricklayer-1.0.0/rmoriebricklayer/R/lib_capsule.R                                |  511 +
 rmoriebricklayer-1.0.0/rmoriebricklayer/R/lib_data_loader.R                            | 1369 +++-
 rmoriebricklayer-1.0.0/rmoriebricklayer/R/lib_helpers.R                                |  575 +
 rmoriebricklayer-1.0.0/rmoriebricklayer/R/lib_manifest.R                               |  654 +-
 rmoriebricklayer-1.0.0/rmoriebricklayer/R/lib_synthetic.R                              |  344 -
 rmoriebricklayer-1.0.0/rmoriebricklayer/R/llm_answer_cache.R                           |only
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 rmoriebricklayer-1.0.0/rmoriebricklayer/R/mcar.R                                       |  157 
 rmoriebricklayer-1.0.0/rmoriebricklayer/R/nameconstraints.R                            |  119 
 rmoriebricklayer-1.0.0/rmoriebricklayer/R/panel_causal.R                               |only
 rmoriebricklayer-1.0.0/rmoriebricklayer/R/parse_siu.R                                  |  390 -
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 rmoriebricklayer-1.0.0/rmoriebricklayer/R/policy.R                                     |   46 
 rmoriebricklayer-1.0.0/rmoriebricklayer/R/policy_evaluation.R                          |only
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 rmoriebricklayer-1.0.0/rmoriebricklayer/R/power.R                                      |  175 
 rmoriebricklayer-1.0.0/rmoriebricklayer/R/prereg.R                                     |  308 
 rmoriebricklayer-1.0.0/rmoriebricklayer/R/print_methods.R                              |  273 
 rmoriebricklayer-1.0.0/rmoriebricklayer/R/profile_extra.R                              |  385 -
 rmoriebricklayer-1.0.0/rmoriebricklayer/R/progress_anim.R                              |only
 rmoriebricklayer-1.0.0/rmoriebricklayer/R/published_bounds.R                           |  320 -
 rmoriebricklayer-1.0.0/rmoriebricklayer/R/rate.R                                       |  641 +-
 rmoriebricklayer-1.0.0/rmoriebricklayer/R/region_map.R                                 |  628 +-
 rmoriebricklayer-1.0.0/rmoriebricklayer/R/report.R                                     |  233 
 rmoriebricklayer-1.0.0/rmoriebricklayer/R/repro.R                                      |  325 -
 rmoriebricklayer-1.0.0/rmoriebricklayer/R/revocation.R                                 |  305 
 rmoriebricklayer-1.0.0/rmoriebricklayer/R/rmbldemo.R                                   |only
 rmoriebricklayer-1.0.0/rmoriebricklayer/R/rule_lib.R                                   |  659 +-
 rmoriebricklayer-1.0.0/rmoriebricklayer/R/rules.R                                      |  196 
 rmoriebricklayer-1.0.0/rmoriebricklayer/R/scan_adjust.R                                |  236 
 rmoriebricklayer-1.0.0/rmoriebricklayer/R/schema_infer.R                               |  108 
 rmoriebricklayer-1.0.0/rmoriebricklayer/R/search.R                                     |only
 rmoriebricklayer-1.0.0/rmoriebricklayer/R/search_figs.R                                |only
 rmoriebricklayer-1.0.0/rmoriebricklayer/R/services.R                                   |only
 rmoriebricklayer-1.0.0/rmoriebricklayer/R/sha256_native.R                              |   13 
 rmoriebricklayer-1.0.0/rmoriebricklayer/R/sign.R                                       | 1841 ++++-
 rmoriebricklayer-1.0.0/rmoriebricklayer/R/sketch.R                                     |  363 -
 rmoriebricklayer-1.0.0/rmoriebricklayer/R/spread.R                                     |only
 rmoriebricklayer-1.0.0/rmoriebricklayer/R/srr-stats-standards.R                        |only
 rmoriebricklayer-1.0.0/rmoriebricklayer/R/survey.R                                     |only
 rmoriebricklayer-1.0.0/rmoriebricklayer/R/timestamp.R                                  |  669 +-
 rmoriebricklayer-1.0.0/rmoriebricklayer/R/trc.R                                        |only
 rmoriebricklayer-1.0.0/rmoriebricklayer/R/trend.R                                      |  669 +-
 rmoriebricklayer-1.0.0/rmoriebricklayer/R/wayback_save.R                               |only
 rmoriebricklayer-1.0.0/rmoriebricklayer/R/x509.R                                       |  839 +-
 rmoriebricklayer-1.0.0/rmoriebricklayer/R/xmss_state.R                                 |only
 rmoriebricklayer-1.0.0/rmoriebricklayer/R/yoy.R                                        |  511 +
 rmoriebricklayer-1.0.0/rmoriebricklayer/R/yoy_labels.R                                 |  156 
 rmoriebricklayer-1.0.0/rmoriebricklayer/R/yoy_output.R                                 |  262 
 rmoriebricklayer-1.0.0/rmoriebricklayer/R/yoy_render.R                                 |  317 -
 rmoriebricklayer-1.0.0/rmoriebricklayer/R/yoy_write.R                                  |  259 
 rmoriebricklayer-1.0.0/rmoriebricklayer/R/zzz.R                                        |only
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Package FuzzyClass updated to version 0.3.0 with previous version 0.2.0 dated 2026-10-09

Title: Fuzzy and Non-Fuzzy Classifiers
Description: It provides classifiers which can be used for discrete variables and for continuous variables based on the Naive Bayes and Fuzzy Naive Bayes hypothesis. Those methods were developed by researchers belong to the 'Laboratory of Technologies for Virtual Teaching and Statistics (LabTEVE)' and 'Laboratory of Applied Statistics to Image Processing and Geoprocessing (LEAPIG)' at 'Federal University of Paraiba, Brazil'. They considered some statistical distributions and their papers were published in the scientific literature, as for instance, the Gaussian classifier using fuzzy parameters, proposed by 'Moraes, Ferreira and Machado' (2021) <doi:10.1007/s40815-020-00936-4>. The classifiers are implemented as 'R6' classes and are also available as 'parsnip' models, so they can be used within the 'tidymodels' framework.
Author: Jodavid Ferreira [aut, cre] , Ronei Moraes [ctb] , Liliane Machado [ctb] , Arthur Ricardo [ctb], Isaac Araujo [ctb]
Maintainer: Jodavid Ferreira <jodavid@protonmail.com>

Diff between FuzzyClass versions 0.2.0 dated 2026-10-09 and 0.3.0 dated 2026-10-21

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Package nltm updated to version 1.4.7 with previous version 1.4.6 dated 2025-07-23

Title: Non-Linear Transformation Models
Description: Fits a non-linear transformation model ('nltm') for analyzing survival data, see Tsodikov (2003) <doi:10.1111/1467-9868.00414>. The class of 'nltm' includes the following currently supported models: Cox proportional hazard, proportional hazard cure, proportional odds, proportional hazard - proportional hazard cure, proportional hazard - proportional odds cure, Gamma frailty, and proportional hazard - proportional odds.
Author: Gilda Garibotti [aut], Alexander Tsodikov [aut], Mark Clements [aut, cre]
Maintainer: Mark Clements <mark.clements@ki.se>

Diff between nltm versions 1.4.6 dated 2025-07-23 and 1.4.7 dated 2026-10-21

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Package netify updated to version 1.5.4 with previous version 1.5.3 dated 2026-06-30

Title: Tools for Network Data Workflows
Description: Builds, validates, analyzes, and visualizes network data from dyadic, event, matrix, 'igraph', and 'network' inputs. Supports cross-sectional, longitudinal, bipartite, and multi-layer networks, with conversion helpers for common modeling workflows and plotting utilities for exploratory analysis. Network methods are described in Wasserman and Faust (1994, ISBN:9780521387071), Cranmer et al. (2021) <doi:10.1017/9781316662915>, and Minhas et al. (2022) <doi:10.1017/psrm.2021.56>.
Author: Ha Eun Choi [ctb], Cassy Dorff [aut], Colin Henry [ctb], Shahryar Minhas [aut, cre], Tosin Salau [ctb]
Maintainer: Shahryar Minhas <minhassh@msu.edu>

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Package Spower updated to version 0.7.1 with previous version 0.7 dated 2026-10-15

Title: Power Analyses using Monte Carlo Simulations
Description: Provides a general purpose simulation-based power analysis API for routine and customized simulation experimental designs. The package focuses exclusively on Monte Carlo simulation experiment variants of (expected) prospective power analyses, criterion analyses, compromise analyses, sensitivity analyses, and a priori/post-hoc analyses. The default simulation experiment functions defined within the package provide stochastic variants of the power analysis subroutines in G*Power 3.1 (Faul, Erdfelder, Buchner, and Lang, 2009) <doi:10.3758/brm.41.4.1149>, along with various other parametric and non-parametric power analysis applications (e.g., mediation analyses) and support for Bayesian power analysis by way of Bayes factors or posterior probability evaluations. Additional functions for building empirical power curves, reanalyzing simulation information, and for increasing the precision of the resulting power estimates are also included, each of which utilize similar API structures. [...truncated...]
Author: Phil Chalmers [aut, cre]
Maintainer: Phil Chalmers <rphilip.chalmers@gmail.com>

Diff between Spower versions 0.7 dated 2026-10-15 and 0.7.1 dated 2026-10-21

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New package fieldopt with initial version 0.1.0
Package: fieldopt
Title: Area-Frame and Dual-Frame Survey Design under Real Field Cost
Version: 0.1.0
Description: Design of agricultural and other area-frame and dual-frame (area plus list) sample surveys that go to the field, with the real cost of field work (travel between sampling units plus interviews) next to the variance of the design-based estimator. Travel matrices from coordinates or a road network; GRASP routing of the field work for one or several teams; stratified spatially balanced (local pivotal) or spatially ordered systematic selection of segments with interpenetrating replicates; points inside segments with multiplicity (expected-hits) estimation; closed, open and weighted segment estimators; Horvitz-Thompson estimation with local-mean or replicate variances; cost-aware allocation across strata, Hartley's dual-frame allocation with an overlap, and two-stage allocation with a cost function; and the cost-variance frontier of a design by simulation. The computational engine is the Rust crate 'fieldopt-core'.
License: GPL (>= 3)
URL: https://castlaboratory.github.io/fieldopt/, https://github.com/castlaboratory/fieldopt
BugReports: https://github.com/castlaboratory/fieldopt/issues
Depends: R (>= 4.2)
Imports: cli, generics, ggplot2, rlang, stats, tibble
Suggests: arrow, BalancedSampling, dplyr, highs, knitr, osrm, purrr, Matrix, rmarkdown, sf, survey, testthat (>= 3.0.0), tidyr, vrpr
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-GB
SystemRequirements: Cargo (Rust's package manager), rustc >= 1.70.0, xz
NeedsCompilation: yes
Packaged: 2026-10-10 21:46:00 UTC; leite
Author: Andre Leite [aut, cre] , Raydonal Ospina [aut] , Cristiano Ferraz [aut] , The authors of the dependency Rust crates [ctb]
Maintainer: Andre Leite <leite@castlab.org>
Repository: CRAN
Date/Publication: 2026-10-21 18:50:02 UTC

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Package Deriv updated to version 4.3.6 with previous version 4.3.5 dated 2026-09-03

Title: Symbolic Differentiation
Description: R-based solution for symbolic differentiation. It admits user-defined function as well as function substitution in arguments of functions to be differentiated. Some symbolic simplification is part of the work.
Author: Andrew Clausen [aut], Serguei Sokol [aut, cre] , Andreas Rappold [ctb]
Maintainer: Serguei Sokol <sokol@insa-toulouse.fr>

Diff between Deriv versions 4.3.5 dated 2026-09-03 and 4.3.6 dated 2026-10-21

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New package tsexplorer with initial version 0.1.0
Package: tsexplorer
Title: Exploratory and Diagnostic Tools for Time Series and Forecasts
Version: 0.1.0
Description: Exploratory, descriptive and diagnostic tools for univariate and multivariate time series and tools to evaluate and compare forecasts: summary statistics and gaussianity tests; sample autocorrelation functions with the Ljung and Box (1978) <doi:10.1093/biomet/65.2.297> and Monti (1994) <doi:10.2307/2337080> tests; information criteria and Granger (1969) <doi:10.2307/1912791> causality; unit root tests of Dickey and Fuller (1979) <doi:10.1080/01621459.1979.10482531> and Phillips and Perron (1988) <doi:10.1093/biomet/75.2.335>; the cointegration test of Johansen (1988) <doi:10.1016/0165-1889(88)90041-3>; heteroskedasticity tests; non-linearity tests of McLeod and Li (1983) <doi:10.1111/j.1467-9892.1983.tb00373.x>, Tsay (1986) <doi:10.1093/biomet/73.2.461> and Brock, Dechert, Scheinkman and LeBaron (1996) <doi:10.1080/07474939608800353>; spectral analysis; and forecast accuracy measures with the Diebold and Mariano (1995) <doi:10.10 [...truncated...]
License: GPL-3
URL: https://github.com/djpedregal/tsexplorer
BugReports: https://github.com/djpedregal/tsexplorer/issues
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1.0)
Imports: graphics, grDevices, stats, utils
Suggests: shiny, tcltk, testthat (>= 3.0.0), jsonlite, tseries, urca, xts, zoo
NeedsCompilation: no
Packaged: 2026-10-13 08:10:03 UTC; diego.pedregal
Author: Diego J. Pedregal [aut, cre, cph], Ludwig Kanzler [ctb]
Maintainer: Diego J. Pedregal <diego.pedregal@uclm.es>
Repository: CRAN
Date/Publication: 2026-10-21 17:50:02 UTC

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Package TmCalculator updated to version 1.1.3 with previous version 1.1.2 dated 2026-10-05

Title: Genome-Wide Nucleic Acid Melting Temperature Profiling and Multi-Omics Integration
Description: Accurate calculation of nucleic acid melting temperature (Tm) is fundamental to many molecular biology applications, and this software scales Tm analysis from individual sequences to genome-wide thermodynamic profiling. This package extends Tm analysis from simple sequence level computation to comprehensive genome-wide thermodynamic profiling. It takes four input sources: sequence strings, a FASTA file, an installed 'BSgenome' package named by string, or a 'GRanges' carrying sequences. A 'regions' argument selects what to cover and 'window' and 'slide' set the resolution at which it is tiled. The implementation provides three Tm calculation methods: the Wallace rule (Thein & Wallace, 1986), empirical GC-content formulas (Marmur, 1962; Schildkraut, 1965; Wetmur, 1991; Untergasser, 2012; von Ahsen, 2001), and nearest-neighbor thermodynamics (Breslauer, 1986; Sugimoto, 1996; Allawi, 1997, 1998; SantaLucia, 2004; Freier, 1986; Xia, 1998; Chen, 2012; Bommarito, 2000; Turner, 2010; Sugim [...truncated...]
Author: Junhui Li [cre, aut] , Lihua Julie Zhu [aut]
Maintainer: Junhui Li <ljh.biostat@gmail.com>

Diff between TmCalculator versions 1.1.2 dated 2026-10-05 and 1.1.3 dated 2026-10-21

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New package survHC with initial version 0.1.0
Package: survHC
Title: Higher Criticism Tests for Non-Proportional Hazard Deviations
Version: 0.1.0
Description: Implements omnibus tests for comparing two right-censored survival samples that are powerful against sparse departures from equal hazards, where the hazard difference is concentrated in a small and a priori unknown subset of the follow-up. Exact hypergeometric p-values are computed for each time interval and aggregated with the Higher Criticism statistic of Donoho and Jin (2004) <doi:10.1214/009053604000000265>, or alternatively with the Berk-Jones, Fisher or minimum-p statistics. Global p-values are obtained by permuting group labels, and the intervals driving a detection can be recovered for diagnostic plotting. Tests accept either two samples as vectors or the usual survival formula. The method is described in Kipnis, Galili and Yakhini (2026) <doi:10.1093/biomet/asaf075>, and the companion application note is Kipnis, Galili and Yakhini (2026) <doi:10.48550/arXiv.2610.07268>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: stats, graphics
Suggests: survival
URL: https://github.com/alonkipnis/lifelines-hc/tree/main/R-package/survHC
BugReports: https://github.com/alonkipnis/lifelines-hc/issues
NeedsCompilation: no
Packaged: 2026-10-12 19:43:22 UTC; kipnisal
Author: Alon Kipnis [aut, cre], Ben Galili [aut], Zohar Yakhini [aut]
Maintainer: Alon Kipnis <alonkipnis@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-21 17:20:02 UTC

More information about survHC at CRAN
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Package RprobitB updated to version 2.0.1 with previous version 2.0.0 dated 2026-09-20

Title: Bayesian Probit Choice Modeling
Description: Fits Bayesian probit models for binary, multinomial, ordered, and ranked choices in cross-sectional and panel data. Correlated or uncorrelated normal and log-normal random coefficients, finite mixtures, sparse finite mixtures, and Dirichlet process mixtures describe preference heterogeneity. Multiple Gibbs chains produce posterior draws for diagnostics and choice prediction. Choice data can be supplied as a data frame or simulated from the requested specification. For an overarching treatment of the methodology, see Oelschlaeger (2026) <https://pub.uni-bielefeld.de/record/3014719>. The latent-class model is described in Oelschlaeger and Bauer (2021) <https://trid.trb.org/view/1759753>.
Author: Lennart Oelschlaeger [aut, cre] , Dietmar Bauer [aut]
Maintainer: Lennart Oelschlaeger <oelschlaeger.lennart@gmail.com>

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Package QWDAP readmission to version 1.1.22 with previous version 1.1.20 dated 2024-10-10

Title: Quantum Walk-Based Data Analysis and Prediction
Description: The modeling and prediction of graph-associated time series(GATS) based on continuous time quantum walk. This software is mainly used for feature extraction, modeling, prediction and result evaluation of GATS, including continuous time quantum walk simulation, feature selection, regression analysis, time series prediction, and series fit calculation. A paper is attached to the package for reference.
Author: Binghuang Pan [aut, cre], Zhaoyuan Yu [aut], Xu Hu [ctb], Yuhao Teng [ctb]
Maintainer: Binghuang Pan <bright1up@163.com>

This is a re-admission after prior archival of version 1.1.20 dated 2024-10-10

Diff between QWDAP versions 1.1.20 dated 2024-10-10 and 1.1.22 dated 2026-10-21

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New package publishTC with initial version 0.2.3
Package: publishTC
Title: Tools to Help to Publish the Trend-Cycle Component
Version: 0.2.3
Description: Tools to facilitate the computation of the trend-cycle component of time series. In particular, the computation can be performed using: the Cascade Linear Filter ('CLF', Dagum and Luati, 2008), classical Henderson symmetric filters with surrogate Musgrave asymmetric filters, local parameterizations of Musgrave filters (Quartier-la-Tente, 2024), and robust extensions taking into account additive outliers and level shifts (Quartier-la-Tente, 2025). Computes confidence intervals and provides specialized plotting functions for publication.
LazyData: true
Depends: R (>= 4.1.0)
Imports: rJava, rjd3filters (>= 2.4.0), rjd3x13 (>= 3.3.0), ggplot2, zoo, rjd3jars (>= 0.0.5)
URL: https://github.com/AQLT/publishTC, https://aqlt.github.io/publishTC/
BugReports: https://github.com/AQLT/publishTC/issues
SystemRequirements: Java (>= 17)
License: EUPL
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-10-12 20:08:27 UTC; alainquartierlatente
Author: Alain Quartier-la-Tente [aut, cre, cph]
Maintainer: Alain Quartier-la-Tente <alain.quartier@yahoo.fr>
Repository: CRAN
Date/Publication: 2026-10-21 17:30:02 UTC

More information about publishTC at CRAN
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New package powerutilities with initial version 0.7.1
Package: powerutilities
Title: Power Analysis for Linear and Generalized Linear Mixed Models
Description: Prospective power analysis and design planning using the "plug-in" approach described by Piepho et al. (2022) <doi:10.1017/S0021859622000466> and Stroup, Ptukhina and Garai (2024) <doi:10.1201/9780429092060-24>. Expected treatment means and the proposed experimental design are encoded in an artificial data set, and a model is "fit" to it with random effect variances, correlations and residual dispersion fixed at user-specified values rather than being estimated. The resulting standard errors are used to compute the power of F-tests and user-defined contrasts, as well as Type S (sign) and Type M (magnitude) error rates (Gelman and Carlin, 2014 <doi:10.1177/1745691614551642>). Models are fit with 'glmmTMB', so the approach accommodates non-normal responses, heteroscedasticity, nested and crossed random effects, correlated random slopes, and structured covariances such as AR(1) and spatial correlation. Helper functions convert standard deviations and correlations into th [...truncated...]
Version: 0.7.1
Depends: R (>= 4.1.0)
Imports: dplyr, emmeans, glmmTMB (>= 1.1.14), pbkrtest, reformulas,retrodesign, rlang
Suggests: agridat, knitr, rmarkdown, testthat (>= 3.0.0), tidyr
License: BSD_3_clause + file LICENSE
URL: https://github.com/SimonShamusRiley/powerutilities/tree/main
BugReports: https://github.com/SimonShamusRiley/powerutilities/issues
Encoding: UTF-8
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: no
Packaged: 2026-10-13 07:40:02 UTC; Simon
Author: Simon Riley [aut, cre]
Maintainer: Simon Riley <ssriley@protonmail.com>
Repository: CRAN
Date/Publication: 2026-10-21 17:50:09 UTC

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Package palsr updated to version 0.1.1 with previous version 0.1.0 dated 2026-07-01

Title: Projected Actor Locations for Spatial Interaction Modeling
Description: Implements the Projected Actor Locations (PALS) method for spatial modeling of dyadic interactions between geographically mobile actors, as described in Kim, Liu and Desmarais (2023) <doi:10.1017/psrm.2022.6>. PALS applies exponential-smoothing weights to the spatiotemporal histories of a focal actor and its interaction partners ("alters") to project the location of future interactions. The package provides projection, maximum-similarity parameter estimation by minimizing great-circle (Haversine) prediction error, nonparametric bootstrap with multiple-imputation (Rubin's Rules) pooling, dyadic distance covariate construction, visualization, and a simulated example dataset of subnational conflict.
Author: Bruce A. Desmarais [aut, cre], Sangyeon Kim [aut], Howard Liu [aut]
Maintainer: Bruce A. Desmarais <bruce.desmarais@gmail.com>

Diff between palsr versions 0.1.0 dated 2026-07-01 and 0.1.1 dated 2026-10-21

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 NEWS.md                              |   18 ++++++++++++++++++
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Package NSR readmission to version 0.1.1 with previous version 0.1.0 dated 2024-10-16

Title: 'Native Status Resolver'
Description: Provides access to the 'Native Status Resolver' (NSR) <https://github.com/ojalaquellueva/nsr> API through R. The user supplies plant taxonomic names and political divisions and the package returns information about their likely native status (e.g., native, non-native,endemic), along with information on how those decisions were made.
Author: Brian Maitner [aut, cre] , Brad Boyle [aut]
Maintainer: Brian Maitner <bmaitner@gmail.com>

This is a re-admission after prior archival of version 0.1.0 dated 2024-10-16

Diff between NSR versions 0.1.0 dated 2024-10-16 and 0.1.1 dated 2026-10-21

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 64 files changed, 530 insertions(+), 558 deletions(-)

More information about NSR at CRAN
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New package DetectOutlier with initial version 0.1.1
Package: DetectOutlier
Title: Detect Outliers in Data Frames and Export Results
Version: 0.1.1
Maintainer: Prakash Kumar <prakash289111@gmail.com>
Description: Identifies potential outliers in numeric columns of a data frame using the interquartile range (IQR), defined as the difference between the third and first quartiles. Values below the first quartile minus 1.5 times the IQR or above the third quartile plus 1.5 times the IQR are flagged as potential outliers. The package can export rows containing outliers to comma-separated values (CSV) files and create 'Excel' workbooks with outlier values highlighted and a summary of outlier counts.
Depends: R (>= 4.0)
Imports: openxlsx
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-10-13 04:36:59 UTC; iasri
Author: Prakash Kumar [aut, cre], Himadri Sekhar Roy [aut], Ranjit Kumar Paul [aut], Md. Yeasin [aut], Paritosh Kumar ICAR-NIASM [aut], Amrit Kumar Paul [aut]
Repository: CRAN
Date/Publication: 2026-10-21 17:30:09 UTC

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Package ct updated to version 0.5.0 with previous version 0.4.0 dated 2026-07-16

Title: Camera Trap Data Management and Multi-Method Ecological Analysis
Description: Tools for the complete camera trap data workflow in wildlife monitoring and ecological research. Reads and edits media metadata, filters independent detections, and standardises records for analysis. Measures diel activity and overlap (Ridout and Linkie (2009) <doi:10.1198/jabes.2009.08038>), directed short-term association between species with an encounter-response model (Hawkes (1971) <doi:10.1093/biomet/58.1.83>), seasonal shifts in activity, spatial coverage of detections, and species diversity. Estimates density or abundance of unmarked populations with several methods, including the random encounter model, camera trap distance sampling, time-to-event, space-to-event, instantaneous sampling, and the random encounter and staying-time model (see Rowcliffe et al. (2008) <doi:10.1111/j.1365-2664.2008.01473.x>, Howe et al. (2017) <doi:10.1111/2041-210X.12790>, Moeller et al. (2018) <doi:10.1002/ecs2.2331>, and Nakashima et al. (2018) <doi:10.1111/1365-2 [...truncated...]
Author: Stanislas Mahussi Gandaho [aut, cre] , Pablo Palencia [ctb, rev] , R Consortium [fnd]
Maintainer: Stanislas Mahussi Gandaho <stangandaho@gmail.com>

Diff between ct versions 0.4.0 dated 2026-07-16 and 0.5.0 dated 2026-10-21

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 NAMESPACE                        |    8 
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Package cpge updated to version 1.0.3 with previous version 1.0.2 dated 2026-08-21

Title: Interactive Clustered Graph for French Scientific Preparatory Classes
Description: To help French students from scientific preparatory classes for the Grandes Ecoles (CPGE) in their choice of field of study and career options, this package provides an interactive tool and data visualization of a graph clustered by different competitive exams and sectors of activity for French selective engineering schools and selective higher education institutions like Ecoles Normales Superieures (ENS) or specialized university programs (magisteres). Besides, there are two drop-down menus to select on the graph many fields or more than 200 engineering schools or ENS or magisteres. It gives the opportunity to expand, collapse clusters of selective exams interactively too. For more information, see the demonstration video: <https://valerierobert-maths.re/index.php/maths-en-cpge/>. The data was collected via the official French website: <https://www.scei-concours.fr/statistiques.html>.
Author: Valerie Robert [aut, cre]
Maintainer: Valerie Robert <valerie.robert.math@gmail.com>

Diff between cpge versions 1.0.2 dated 2026-08-21 and 1.0.3 dated 2026-10-21

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New package convertxlsform with initial version 0.3.0
Package: convertxlsform
Title: Convert an 'XLSForm' to a 'Word' or PDF Document
Version: 0.3.0
Description: Converts 'XLSForm' questionnaires, as used by 'Open Data Kit' ('ODK') and 'KoboToolbox', into formatted paper versions for interviewing and review. See <https://xlsform.org> for the 'XLSForm' standard. Output is a 'Word' document ('.docx') or, optionally, a PDF produced from that 'Word' document with 'LibreOffice'. Supports multilingual forms, nested question numbering, skip logic display, and question and choice media.
License: MIT + file LICENSE
URL: https://github.com/masud90/convertxlsform
BugReports: https://github.com/masud90/convertxlsform/issues
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.1)
Imports: cli, flextable (>= 0.9.5), magrittr, officer (>= 0.6.9), readxl, rlang, stats, tools, utils, zip
Suggests: doconv, knitr, rmarkdown, testthat (>= 3.0.0), withr, writexl
SystemRequirements: 'LibreOffice' (optional, for PDF output)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-10-13 07:24:37 UTC; masud
Author: Masud Rahman [aut, cre, cph]
Maintainer: Masud Rahman <write2masud+convertxlsform@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-21 17:40:18 UTC

More information about convertxlsform at CRAN
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New package zinbcdpmm with initial version 0.1.0
Package: zinbcdpmm
Title: Bayesian ZINB-Ordinal Joint Model with CDPMM Random Effects
Version: 0.1.0
Description: Fits a Bayesian joint model for longitudinal zero-inflated negative binomial (ZINB) and ordinal outcomes with shared random effects under a centered Dirichlet process mixture model (CDPMM) prior. Provides a blocked Gibbs sampler with Polya-Gamma (PG) and Chinese restaurant table data augmentation, plus helpers for simulation and posterior summaries based on the deviance information criterion (DIC), the widely applicable information criterion (WAIC) and the leave-one-out information criterion (LOOIC). The PG augmentation follows Polson, Scott and Windle (2013) <doi:10.1080/01621459.2013.829001>, the zero-inflated negative binomial construction follows Neelon (2019) <doi:10.1214/18-BA1132>, and the centered Dirichlet process mixture prior follows Tang, Tang and Pan (2014) <doi:10.1016/j.csda.2014.02.015>.
License: MIT + file LICENSE
URL: https://github.com/Liang-ShuQing/zinb-ordinal-cdpmm-code
BugReports: https://github.com/Liang-ShuQing/zinb-ordinal-cdpmm-code/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: BayesLogit, mvtnorm, MCMCpack, truncnorm, loo, stats
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-10-12 08:00:56 UTC; lenovo
Author: Shuqing Liang [aut, cre], Jiang Du [aut]
Maintainer: Shuqing Liang <lsq19853500795@163.com>
Repository: CRAN
Date/Publication: 2026-10-21 16:40:02 UTC

More information about zinbcdpmm at CRAN
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Package rolescry updated to version 0.3.0 with previous version 0.2.0 dated 2026-07-19

Title: Name-Blind Variable-Role Detection by Data Signature
Description: Deterministic, name-blind detection of variable roles (group, outcome, survival or duration time and event, coupled binary-continuous pairs, calendar time index, paired and agreement measurements, repeated measures and panels, scale and rating items, subject or entity identifier, covariate) in tabular data from any domain -- clinical, financial, social, experimental. Roles are assigned from each column's information-theoretic signature -- Shannon entropy, normalized mutual information, and distributional shape -- rather than from column names, so renaming columns to 'col_1', 'col_2', ... does not change the result ("Data inspice, non nomen"). An optional, capped name-based hint and automatic header-row detection are also provided. No large language models and no external data transmission. Extracted from the 'MDStatR' biostatistics engine; see Boynukara (2026) <doi:10.5281/zenodo.20707791>.
Author: Can Boynukara [aut, cre, cph]
Maintainer: Can Boynukara <canboynukara1@gmail.com>

Diff between rolescry versions 0.2.0 dated 2026-07-19 and 0.3.0 dated 2026-10-21

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 48 files changed, 3860 insertions(+), 2695 deletions(-)

More information about rolescry at CRAN
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New package rjd3highfreq with initial version 3.0.1
Package: rjd3highfreq
Title: Seasonal Adjustment of High Frequency Data with 'JDemetra+ 3.x'
Version: 3.0.1
Description: R interface to 'JDemetra+ 3.x' (<https://github.com/jdemetra>), the time series analysis software. It provides functions for seasonal adjustment of higher-frequency data, including those with multiple or non-integer periodicities. It includes pre-adjustment via the extended airline model and several seasonal decomposition methods: extended airline model based decomposition, extended X-11, and augmented STL.
Depends: R (>= 4.1.0)
Imports: rJava (>= 1.0-6), rjd3toolkit (>= 3.7.1), rjd3xjars (>= 0.1.0)
SystemRequirements: Java (>= 21)
License: EUPL-1.2
URL: https://github.com/rjdverse/rjd3highfreq/, https://rjdverse.github.io/rjd3highfreq/
Suggests: knitr, rmarkdown, testthat
BugReports: https://github.com/rjdverse/rjd3highfreq/issues
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-10-12 05:07:16 UTC; s3504do
Author: Jean Palate [aut], Daniel Ollech [cre, ctb], Christiane Hofer [ctb], Witthohn Thomas [ctb], Lea Hengen [ctb], Martin Stefan [ctb], Alessandro Piovani [ctb], Tanguy Barthelemy [ctb, art], Karsten Webel [ctb]
Maintainer: Daniel Ollech <daniel.ollech@bundesbank.de>
Repository: CRAN
Date/Publication: 2026-10-21 16:10:02 UTC

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New package openstudyval with initial version 0.1.1
Package: openstudyval
Title: Open Validator for FDA Study-Data Submissions
Version: 0.1.1
Description: Validates clinical and nonclinical study-data packages against publicly described FDA technical-rejection criteria, SAS XPORT constraints from the Study Data Technical Conformance Guide, and an extensible catalog of SDTM, SEND, and ADaM structural conformance checks. Reads a study folder of CSV, RDS, or (when the suggested package haven is installed) SAS v5/v8 transport files, optionally checks define.xml, and writes a submission-style HTML and CSV validation report. This package is an independent open-source implementation. It is not affiliated with, endorsed by, or a copy of Pinnacle 21, Certara, or the FDA.
License: MIT + file LICENSE
URL: https://github.com/shekharchalwadigrepo-hub/openstudyval
BugReports: https://github.com/shekharchalwadigrepo-hub/openstudyval/issues
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.1.0)
Imports: stats, tools, utils
Suggests: haven, xml2, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-10-12 10:04:38 UTC; skrch
Author: Shekhar Eranna Chalwadi [aut, cre]
Maintainer: Shekhar Eranna Chalwadi <skrchalwadicg@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-21 16:30:02 UTC

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Package ncmR updated to version 0.4.0 with previous version 0.3.1 dated 2026-05-10

Title: Fit Neutral Community Model to Microbiome or Ecological Data
Description: Provides tools for fitting the neutral community model (NCM) to assess the role of stochastic processes in community assembly. The package implements the framework of Sloan et al. (2006) <doi:10.1111/j.1462-2920.2005.00956.x>, enabling users to evaluate neutral dynamics in ecological and microbial communities.
Author: Yuxuan He [aut, cre, cph]
Maintainer: Yuxuan He <heyuxuan0525@outlook.com>

Diff between ncmR versions 0.3.1 dated 2026-05-10 and 0.4.0 dated 2026-10-21

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 16 files changed, 1464 insertions(+), 1213 deletions(-)

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Package mutator updated to version 0.3.0 with previous version 0.2.1 dated 2026-08-02

Title: Mutation Testing
Description: Performs mutation testing for 'R' packages to assess the effectiveness of a test suite. It mutates source files, runs package tests against each mutant, and reports which mutants were killed, survived, or timed out. Parallel execution is supported for larger code bases. The optional 'imputesrcref' package, available from <https://github.com/PRL-PRG/imputesrcref>, improves source locations when installed.
Author: Pierre Donat-Bouillud [aut, cre, cph] , Assanali Amandykov [aut, cph]
Maintainer: Pierre Donat-Bouillud <pierre.donat.bouillud@fit.cvut.cz>

Diff between mutator versions 0.2.1 dated 2026-08-02 and 0.3.0 dated 2026-10-21

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Permanent link

Package locatexec updated to version 0.2.1 with previous version 0.2.0 dated 2026-05-25

Title: Detection and Localization of Executable Files
Description: A set of functions to locate some programs available on the user machine. It can locate 'Node.js', 'npm', 'LibreOffice', 'Microsoft Word', 'Microsoft PowerPoint', 'Microsoft Excel', 'Python', 'pip', 'Mozilla Firefox', 'Google Chrome', 'Air' and 'Pandoc'. The user can test the availability of a program, optionally with a required version, and call it with the functions system2() or system(). This allows the use of a single function to retrieve the path to a program regardless of the operating system and its configuration.
Author: David Gohel [aut, cre], ArData [cph]
Maintainer: David Gohel <david.gohel@ardata.fr>

Diff between locatexec versions 0.2.0 dated 2026-05-25 and 0.2.1 dated 2026-10-21

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More information about locatexec at CRAN
Permanent link

New package geopt with initial version 0.1.0
Package: geopt
Title: Tools to Access and Map Spatial Datasets of Portugal
Version: 0.1.0
Description: Tools to download, process, and visualize official spatial datasets for Portugal. Get administrative boundaries at all levels and other geographic data ready for mapping. Data from Statistics Portugal (INE), for example retrieved with the 'ineptr2' package, can be joined to the boundaries by place name or code, including names from earlier boundary reforms.
License: MIT + file LICENSE
URL: https://c-matos.github.io/geopt/, https://github.com/c-matos/geopt
BugReports: https://github.com/c-matos/geopt/issues
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1.0)
Imports: R6, sf, httr2 (>= 1.0.0), geojsonsf, digest
Suggests: rmapshaper, stringdist, ggplot2, tmap, echarts4r, htmlwidgets, dplyr, plotly, knitr, rmarkdown, testthat (>= 3.0.0), withr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-10-12 12:18:49 UTC; CM
Author: Carlos Matos [aut, cre, cph]
Maintainer: Carlos Matos <carlosmdmatos@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-21 16:50:18 UTC

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Package fabricatr updated to version 2.0.0 with previous version 1.0.2 dated 2024-01-16

Title: Tidyverse-First Data Fabrication
Description: Helps you imagine your data before you collect it. Builds a data frame one column at a time, with hierarchical levels, cross-classified levels, potential outcomes, and draws with a target intra-cluster correlation, so that a research design can be simulated and diagnosed before any data exist. Version 2.0 is a rewrite of the same public API on 'dplyr', 'tibble', 'purrr', and 'rlang'.
Author: Alexander Coppock [aut, cre] , Graeme Blair [aut] , Jasper Cooper [aut] , Macartan Humphreys [aut] , Aaron Rudkin [aut], Neal Fultz [aut], David C. Hall [ctb]
Maintainer: Alexander Coppock <acoppock@gmail.com>

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New package exactcond with initial version 0.2.0
Package: exactcond
Title: Exact Conditional Reference Distributions for Tables and Selected Linear Models
Version: 0.2.0
Description: Reference distributions that are exact at every sample size, obtained by conditioning on a statistic sufficient for the nuisance parameter rather than by appealing to an asymptotic approximation. Two forms of conditioning are supplied. For a two-way table the row and column totals are sufficient for the marginal parameters, so conditioning on both margins leaves the Fisher-Yates law, sampled here exactly by random permutation of the column labels; statistics include Goodman's linear-by-linear association and, for nominal rows against an ordinal column, the dispersion of the row mean scores, whose components are the group contrasts themselves. A two-table form conditions further on the total score to cancel a common association parameter, giving a nuisance-free test that two tables share it. For a linear model under a null in which the tested structure is absent, a statistic invariant to the coefficients and the error scale depends on the data only through the residual direction, which [...truncated...]
URL: https://github.com/mtloots/exactcond
BugReports: https://github.com/mtloots/exactcond/issues
License: GPL-3
Encoding: UTF-8
Imports: stats
NeedsCompilation: yes
Suggests: testthat (>= 3.0.0)
Packaged: 2026-10-12 08:11:04 UTC; home
Author: M. Theodor Loots [aut, cre]
Maintainer: M. Theodor Loots <theo.loots@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-21 16:30:14 UTC

More information about exactcond at CRAN
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Package avlm updated to version 0.2.0 with previous version 0.1.0 dated 2025-04-23

Title: Safe Anytime Valid Inference for Linear Models
Description: Anytime-valid inference for linear models, namely, sequential t-tests, sequential F-tests, and confidence sequences with time-uniform Type-I error and coverage guarantees. This allows hypotheses to be continuously tested without sacrificing false positive guarantees. Heteroskedasticity-robust and cluster-robust versions are provided. It is based on the methods documented in Lindon et al. (2026) <doi:10.1080/01621459.2026.2692052> and Lindon (2026) <doi:10.48550/arXiv.2610.25613>.
Author: Michael Lindon [aut, cre]
Maintainer: Michael Lindon <michael.s.lindon@gmail.com>

Diff between avlm versions 0.1.0 dated 2025-04-23 and 0.2.0 dated 2026-10-21

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Permanent link

New package anotherSAS7bdat with initial version 0.0.7
Package: anotherSAS7bdat
Title: Read 'SAS' Data in Chunks and Convert to 'Parquet'
Version: 0.0.7
Description: Reads 'SAS' 'sas7bdat' files through a persistent native reader. Processes configurable chunks without reopening the input or restarting the parser between chunks. Supports uncompressed, run-length encoded, and Ross Data Compression data through the bundled 'ReadStat' library. Also streams native decoded batches directly to 'Parquet' through the 'Arrow' C Data Interface and the optional 'arrow' package, without constructing R data frames.
License: MIT + file LICENSE
URL: https://github.com/Fred-Wu/anotherSAS7bdat
BugReports: https://github.com/Fred-Wu/anotherSAS7bdat/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: Rcpp, hms, utils
LinkingTo: Rcpp
Suggests: testthat (>= 3.1.7), haven, arrow (>= 14.0.0)
SystemRequirements: C++17, POSIX threads, iconv
NeedsCompilation: yes
Packaged: 2026-10-12 13:21:47 UTC; 60168126
Author: Jianyun Wu [aut, cre], Evan Miller [aut, cph]
Maintainer: Jianyun Wu <jianyun.fred.wu@hotmail.com>
Repository: CRAN
Date/Publication: 2026-10-21 16:50:30 UTC

More information about anotherSAS7bdat at CRAN
Permanent link

New package taruwind with initial version 0.1.1
Package: taruwind
Title: Reduced-Mode Terrain and Surface Wind Downscaling
Version: 0.1.1
Description: Constructs reusable local wind responses using a neutral terrain-following reduced-vertical-mode adjustment and exact raster-ray integration of finite-fetch surface memory. Explicit metric-grid inputs separate terrain, target aerodynamic roughness and the effective source profile. Prepared responses can be applied to wind-component time series without target-site wind calibration. This diagnostic approximation does not resolve turbulence or guarantee conservation of the final field.
License: MIT + file LICENSE
Copyright: See inst/COPYRIGHTS for bundled third-party components.
Encoding: UTF-8
Depends: R (>= 4.2.0)
Imports: Rcpp, tibble, curl, jsonlite, parallel
LinkingTo: Rcpp
Suggests: testthat (>= 3.0.0), terra, Rarr, lutz, ncdf4
SystemRequirements: C++17
NeedsCompilation: yes
Packaged: 2026-10-11 07:54:33 UTC; cemozen
Author: Cem Oezen [aut, cre], Martin Reinecke [ctb] , Peter Bell [ctb, cph] , Matteo Frigo [ctb, cph] , Tan Ping Liang [ctb, cph] , Cris Luengo [ctb, cph] , Max-Planck-Society [cph] , Massachusetts Institute of Technology [cph]
Maintainer: Cem Oezen <ozenc@itu.edu.tr>
Repository: CRAN
Date/Publication: 2026-10-21 15:10:02 UTC

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New package ssurvdr with initial version 0.1.0
Package: ssurvdr
Title: Sparse Survival Dimension Reduction for High-Dimensional Censored Data
Version: 0.1.0
Description: Implements sparse survival sufficient dimension reduction methods for high-dimensional censored data, including covariance-stabilised SAVE, Maximum Entropy Covariance estimation, information-complexity-guided variable weighting, dual-space high-dimensional SAVE computation, row-wise post-estimation sparsification paths, and Cox proportional hazards model selection.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: stats, MASS, survival
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/ilovemaths/ssurvdr
BugReports: https://github.com/ilovemaths/ssurvdr/issues
NeedsCompilation: no
Packaged: 2026-10-11 19:06:28 UTC; DR OLOREDE
Author: Kabir Opeyemi Olorede [aut, cre]
Maintainer: Kabir Opeyemi Olorede <kabir.olorede@kwasu.edu.ng>
Repository: CRAN
Date/Publication: 2026-10-21 15:50:01 UTC

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New package metrictrails with initial version 1.0.0
Package: metrictrails
Title: Processing of GNSS Streams from Sports Watches
Version: 1.0.0
Description: Tools to read, clean and standardise GNSS (Global Navigation Satellite System) streams recorded by sports watches and similar devices, with a focus on trail and mountain running. The pipeline reads GPX files, applies a naming convention, sanitises coordinates (Kalman, LOESS, Gaussian kernel or Savitzky-Golay smoothing, and red flags for implausible readings), resamples the trajectory to a uniform spatial resolution derived from the Nyquist criterion, and replaces elevation with values from a Digital Elevation Model. Derived measures include speed, slope, elevation gain and kilometre-effort, Tobler hiking function parameters fitted by quantile regression, comparison between streams, detection of passes along a route and map matching to a known reference trail by dynamic programming. Methods follow Sanchez and Villena (2020) <doi:10.1177/1754337120918975>, Sanchez et al. (2024) <doi:10.1109/ICECET61485.2024.10698606>, Sanchez et al. (2025) <doi:10.1177/17543371251341660> [...truncated...]
URL: https://github.com/raimun2/metrictrails
BugReports: https://github.com/raimun2/metrictrails/issues
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1)
Imports: magrittr, sf, stats, terra, tibble, utils
Suggests: curl, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-10-11 10:28:13 UTC; raimu
Author: Raimundo Sanchez [aut, cre]
Maintainer: Raimundo Sanchez <raimundosanchezu@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-21 15:20:02 UTC

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New package l1penSVMs with initial version 0.1.0
Package: l1penSVMs
Title: Regularization Paths of L1-Penalized SVMs
Version: 0.1.0
Description: Computes regularization paths for L1-penalized support vector machine (SVM) models, including the standard SVM, receiver operating characteristic SVM (ROC-SVM), and fraud detection SVM (FD-SVM). The package implements efficient path algorithms to obtain solutions over a wide range of regularization parameter values. It also provides cross-validation for selecting an optimal regularization parameter, along with functions for prediction, visualization, and summarization of the fitted models. For more details, see Zhu et al. (2003) <https://proceedings.neurips.cc/paper_files/paper/2003/file/49d4b2faeb4b7b9e745775793141e2b2-Paper.pdf>, Kim et al. (2021) <doi:10.1002/sta4.400>, Park et al. (2023) <doi:10.1007/s42952-023-00207-6>.
License: GPL-3
Encoding: UTF-8
Imports: lpSolve, fastDummies, MASS
NeedsCompilation: no
Packaged: 2026-10-11 13:21:01 UTC; skhw7
Author: Hyungwoo Kim [aut, cre], Minhyoung Park [aut], Seung Jun Shin [aut]
Maintainer: Hyungwoo Kim <khw7682@pknu.ac.kr>
Repository: CRAN
Date/Publication: 2026-10-21 16:00:02 UTC

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New package kbaabb with initial version 0.0.1
Package: kbaabb
Title: Generates an Artificial Population Based on the KBAABB Methodology
Version: 0.0.1
Description: Provides tools for generating an artificial population based on a kNN-based approximation to the approximate Bayesian bootstrap (KBAABB). This methodology is described in White et al. (2025) <doi:10.1093/forestry/cpaf071>.
License: CC0
Encoding: UTF-8
Imports: FNN
Depends: R (>= 2.10)
LazyData: true
NeedsCompilation: no
Packaged: 2026-10-11 15:48:19 UTC; leland
Author: Grayson W. White [aut, cre] , Jerzy A. Wieczorek [aut], Leland Russell [aut], Samantha Schroeder [aut], Tracey S. Frescino [aut], Kelly S. McConville [aut]
Maintainer: Grayson W. White <graysonwhite13@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-21 15:40:02 UTC

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New package geopytorch with initial version 0.1.0
Package: geopytorch
Title: R Interface to 'GeoPyTorch'
Version: 0.1.0
Description: Fits ordinary kriging and spatial linear models through 'reticulate' with the 'GeoPyTorch' 'Python' package, which is built on 'GPyTorch' and 'PyTorch'. Covariance parameters can be fixed or estimated by maximum likelihood or restricted maximum likelihood, and predictions include their variances. 'Python' and the required packages are installed on first use by 'reticulate'.
License: MIT + file LICENSE
URL: https://github.com/dbtnc/geopytorch
BugReports: https://github.com/dbtnc/geopytorch/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: reticulate (>= 1.41.0), stats
Suggests: testthat (>= 3.0.0)
SystemRequirements: Python (>= 3.12)
NeedsCompilation: no
Packaged: 2026-10-11 01:00:11 UTC; homegamer
Author: Daniel Tinoco [aut, cre]
Maintainer: Daniel Tinoco <dbtnc.ps2@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-21 15:10:08 UTC

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New package flexMatch with initial version 0.1.0
Package: flexMatch
Title: Flexible Matching for Stacked Difference-in-Differences
Version: 0.1.0
Description: Tools for building stacked difference-in-differences samples in staggered-adoption settings. The package labels valid treated and control candidates, performs cross-sectional matching, expands matched units into event-time stacks, and returns diagnostics for balance assessment and visualization.
License: MIT + file LICENSE
Depends: R (>= 4.1.0)
Encoding: UTF-8
LazyData: true
Imports: data.table, ggplot2, MatchIt, scales
Suggests: fixest, knitr, rmarkdown, testthat (>= 3.0.0)
URL: https://github.com/avkazakovgit/flexMatch
BugReports: https://github.com/avkazakovgit/flexMatch/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-10-11 18:17:41 UTC; avkazakov
Author: Aleksandr Kazakov [aut, cre, cph]
Maintainer: Aleksandr Kazakov <avkazakov@proton.me>
Repository: CRAN
Date/Publication: 2026-10-21 15:40:08 UTC

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New package ET0RadModels with initial version 1.0.0
Package: ET0RadModels
Title: Evapotranspiration Estimation Using Radiation-Based Models
Version: 1.0.0
Description: Provides functions to estimate daily reference evapotranspiration (ET0) using 10 radiation-based empirical models, with the Food and Agriculture Organization (FAO) Penman-Monteith method included as the standard reference for model comparison. Includes statistical evaluation metrics, such as Nash-Sutcliffe efficiency (NSE), root mean square error (RMSE), mean absolute error (MAE), and mean bias error (MBE), and visualization tools (scatter plots and Taylor diagrams). Based on Singh et al. (2026) <doi:10.1016/j.ejrh.2026.103925>.
License: GPL (>= 3)
URL: https://github.com/samirigfri/ET0RadModels
BugReports: https://github.com/samirigfri/ET0RadModels/issues
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
Imports: graphics, grDevices, stats
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-10-11 10:14:23 UTC; usr
Author: Ajay N. Satpute [aut], Samir Barman [aut, cre] , Amit Kumar Singh [aut], Avijit Ghosh [aut], Gaurendra Gupta [aut]
Maintainer: Samir Barman <samir.igfri@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-21 15:10:15 UTC

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New package ET0MassModels with initial version 1.0.0
Package: ET0MassModels
Title: Evapotranspiration Estimation Using Mass Transfer-Based Models
Version: 1.0.0
Description: Provides functions to estimate daily reference evapotranspiration (ET0) using 10 mass transfer-based empirical models, with the Food and Agriculture Organization (FAO) Penman-Monteith method included as the standard reference for model comparison. Includes statistical evaluation metrics, such as Nash-Sutcliffe efficiency (NSE), root mean square error (RMSE), mean absolute error (MAE), and mean bias error (MBE), and visualization tools (scatter plots and Taylor diagrams). Based on Singh et al. (2026) <doi:10.1016/j.ejrh.2026.103925>.
License: GPL (>= 3)
URL: https://github.com/samirigfri/ET0MassModels
BugReports: https://github.com/samirigfri/ET0MassModels/issues
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
Imports: graphics, grDevices, stats
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-10-11 10:04:25 UTC; usr
Author: Ajay N. Satpute [aut], Samir Barman [aut, cre] , Amit Kumar Singh [aut], Avijit Ghosh [aut], Gaurendra Gupta [aut]
Maintainer: Samir Barman <samir.igfri@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-21 15:10:22 UTC

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New package cndplantanalysis with initial version 1.0.2
Package: cndplantanalysis
Title: Compositional Nutrient Diagnosis for Plant Tissue Analysis
Version: 1.0.2
Description: Provides an implementation of Compositional Nutrient Diagnosis (CND) for plant tissue tests. Computes scale invariant simplex filling values(Rd), row-centered log-ratios (CLR), iterative database partitioning via Cate-Nelson procedures, cubic polynomial regression of cumulative variance ratio functions to determine inflection point yield cutoffs, critical CND nutrient imbalance thresholds (r^2) using the chi-square distribution, diagnostic standardized indices (Ix) and automated Cate Nelson scatter partitioning. Includes linear, non-linear, cumulative variance, chi-square and quadrant plotting functions.Methodology and theoretical frameworks are grounded in Parent and Dafir (1992) <doi:10.21273/JASHS.117.2.239> and Khiari et al. (2001) <doi:10.2134/agronj2001.934802x>.
License: GPL-3
Encoding: UTF-8
Imports: ggplot2, graphics, utils, stats
Suggests: readxl, testthat (>= 3.0.0)
Depends: R (>= 3.5)
LazyData: true
NeedsCompilation: no
Packaged: 2026-10-11 17:24:00 UTC; bejoy
Author: Blesson B. Varghese [aut, cre], Rohith A K [aut], Anjali S. [aut], Aliya Shirin K S [aut], Hilal Mohamed [aut]
Maintainer: Blesson B. Varghese <blessonvarghese1234@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-21 15:40:13 UTC

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New package cdtr with initial version 0.1.0
Package: cdtr
Title: Constrained Delaunay Triangulation with Refinement
Version: 0.1.0
Description: Binding to the 'CDT' header-only C++ library: constrained and conforming Delaunay triangulation, Ruppert refinement by area or minimum angle (Ruppert, 1995, <doi:10.1006/jagm.1995.1021>), resolution of crossing constraints, and topological region depth per triangle. Aimed at replacing 'RTriangle' in 'anglr'.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
LinkingTo: cpp11
Suggests: bench, RTriangle, sf, testthat (>= 3.0.0)
URL: https://github.com/hypertidy/cdtr, https://hypertidy.github.io/cdtr/
BugReports: https://github.com/hypertidy/cdtr/issues
NeedsCompilation: yes
Packaged: 2026-10-11 10:57:07 UTC; mdsumner
Author: Michael Sumner [aut, cre], Leica Geosystems Technology AB [cph] , CDT Contributors [ctb, cph] , William C. Lenthe [ctb, cph] )
Maintainer: Michael Sumner <mdsumner@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-21 15:20:09 UTC

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New package b3gbi with initial version 1.1.3
Package: b3gbi
Title: General Biodiversity Indicators for Biodiversity Data Cubes
Version: 1.1.3
Description: Calculate general biodiversity indicators from species occurrence cubes, such as those produced by the 'GBIF' (Global Biodiversity Information Facility) occurrence cube service <https://techdocs.gbif.org/en/data-use/data-cubes>. Indicators include observed and coverage-based rarefied species richness and Hill numbers (via 'iNEXT'), evenness, rarity, taxonomic distinctness, occupancy, turnover and sample completeness, and can be calculated over time (time series) or space (maps), with bootstrap confidence intervals. Cubes using the EEA reference grid, MGRS, the extended quarter-degree grid (EQDGC) or ISEA3H grids are supported. For details see Dove (2026) <doi:10.21105/joss.10963>.
License: MIT + file LICENSE
URL: https://github.com/b-cubed-eu/b3gbi, https://b-cubed-eu.github.io/b3gbi/
Depends: R (>= 3.5.0)
Imports: boot, dplyr, ggplot2, iNEXT, magrittr, purrr, readr, rlang, rnaturalearth, scales, sf, stringr, tibble, tidyr, tidyselect, units
Suggests: bit64, dggridR, dubicube, knitr, mapview, mockery, mockr, patchwork, RColorBrewer, rgbif (>= 3.7.0), rmarkdown, rnaturalearthdata, rnaturalearthhires, testthat (>= 3.0.0), withr
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr, rmarkdown
Additional_repositories: https://b-cubed-eu.r-universe.dev, https://ropensci.r-universe.dev
BugReports: https://github.com/b-cubed-eu/b3gbi/issues
NeedsCompilation: no
Packaged: 2026-10-11 10:08:50 UTC; Shawn
Author: Shawn Dove [aut, cre] , Ward Langeraert [ctb] , Peter Desmet [ctb] , University of Giessen [cph], European Union [fnd]
Maintainer: Shawn Dove <Shawn.Dove@allzool.bio.uni-giessen.de>
Repository: CRAN
Date/Publication: 2026-10-21 15:40:19 UTC

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New package zufast with initial version 0.1.0
Package: zufast
Title: Fast Portable 'C' Primitives for Parsing and Formatting Data
Version: 0.1.0
Description: A header-only library of small, fast, portable 'C99' primitives for converting external text and bytes into native values and back: correctly rounded number parsing (from 'fast_float', through its 'C' port 'ffc.h'), shortest round-trip number formatting (from 'Ryu'), ISO 8601 dates and timestamps, booleans, universally unique identifiers (UUIDs), hexadecimal and Base64, 'XXH3' hashing (from 'xxHash'), half-precision floats, endian helpers and UTF-8 validation. Other packages use it through 'LinkingTo' alone; the 'R' functions exist to test, benchmark and demonstrate the 'C' layer.
License: MIT + file LICENSE
Copyright: See inst/COPYRIGHTS.
URL: https://pedrobtz.github.io/zufast/, https://github.com/pedrobtz/zufast
BugReports: https://github.com/pedrobtz/zufast/issues
Depends: R (>= 4.1)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2026-10-10 06:16:54 UTC; pbtz
Author: Pedro Baltazar [aut, cre, cph], Bjoern Hoehrmann [cph] , Daniel Lemire [cph] , Joao Paulo Magalhaes [cph] , The fast_float authors [cph] , Koleman Nix [cph] , Ulf Adams [cph] , Yann Collet [cph]
Maintainer: Pedro Baltazar <pedrobtz@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-21 14:30:02 UTC

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New package zucbor with initial version 0.1.0
Package: zucbor
Title: Deterministic and Secure CBOR Encoding and Decoding
Version: 0.1.0
Description: Encodes R values as Concise Binary Object Representation (CBOR, RFC 8949; Bormann and Hoffman (2020) <doi:10.17487/RFC8949>) and decodes CBOR into ordinary R vectors and lists. Decoding checks the whole input against configurable depth, size and item limits before any R object is built, so untrusted input from network peers and devices cannot drive large allocations. Encoding is deterministic: identical R objects always produce identical bytes. Uses a bundled copy of the 'TinyCBOR' library (<https://github.com/intel/tinycbor>), so no system library is required.
License: MIT + file LICENSE
Copyright: See inst/COPYRIGHTS and src/vendor/PROVENANCE.
URL: https://github.com/pedrobtz/zucbor, https://pedrobtz.github.io/zucbor/
BugReports: https://github.com/pedrobtz/zucbor/issues
Depends: R (>= 4.1)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), withr
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-GB
NeedsCompilation: yes
Packaged: 2026-10-10 06:52:47 UTC; pbtz
Author: Pedro Baltazar [aut, cre, cph], Thiago Macieira [aut] , Intel Corporation [cph]
Maintainer: Pedro Baltazar <pedrobtz@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-21 14:30:08 UTC

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New package VasGBIF with initial version 3.7.1
Package: VasGBIF
Title: Fast and Easy Compilation of Vascular Plants Occurrence Records from 'GBIF'
Version: 3.7.1
Date: 2026-10-11
Maintainer: Yuxuan Wang <wyx1743@gmail.com>
URL: https://github.com/wyx619/VasGBIF (devel), https://wyx619.github.io/VasGBIF/ (documentation)
BugReports: https://github.com/wyx619/VasGBIF/issues
Description: 'GBIF' <https://www.gbif.org/> hosts over 500 million occurrence records of tracheophyte (vascular plants). However, dealing with them typically involves lots of workflows and time, posing significant challenges for researchers. To address these limitations, we present 'VasGBIF', a fast and easy 'R' package to parse and merge enormous tracheophyte records.
License: GPL (>= 3.0)
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
Depends: R (>= 4.1),data.table,bit64
Imports: dplyr,stringi,terra (>= 1.8-10),CoordinateCleaner,TNRS,geohashTools,mapview,foreach,doParallel
Suggests: knitr, leaflet, rmarkdown, rnaturalearth, sf, rgbif, letsR, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-10-11 04:36:37 UTC; MSI
Author: Yuxuan Wang [aut, cre]
Repository: CRAN
Date/Publication: 2026-10-21 15:00:20 UTC

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New package TSGenerator with initial version 2.0.0
Package: TSGenerator
Title: 'Copernicus' HR-VPP Vegetation Time-Series Processing
Version: 2.0.0
Description: Provides tools for acquiring, extracting, quality-assessing, and analysing vegetation time series derived from 'Copernicus' High Resolution Vegetation Phenology and Productivity (HR-VPP) products. Supports Seasonal Trajectories (ST) and Vegetation Phenology and Productivity (VPP) products through native R access to 'WEkEO', geospatial processing, product-quality assessment, temporal completeness analysis, missingness modelling, and integrated graphical workflows. Selected functions from 'TSGenerator' 1.x are retained to support migration and legacy workflows.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/avalero92/TSGenerator
BugReports: https://github.com/avalero92/TSGenerator/issues
Imports: hdar, jsonlite, stringr, utils, ggplot2, mgcv, scales, shiny, shinydashboard, shinyjs, shinycssloaders, DT, readr, terra
Suggests: imputeTS, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-10-10 17:34:03 UTC; runner
Author: Alexey Valero-Jorge [aut, cre] , M. Auxiliadora Casterad Seral [aut] , Jose-Tomas Alcala Nalvaiz [aut]
Maintainer: Alexey Valero-Jorge <avalero@cita-aragon.es>
Repository: CRAN
Date/Publication: 2026-10-21 14:50:19 UTC

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New package sundials with initial version 7.9.0-1
Package: sundials
Title: Vendored 'SUNDIALS' Solver Suite for Linking by Other Packages
Version: 7.9.0-1
Date: 2026-10-10
Description: Bundles the pure-C part of the 'SUNDIALS' suite (CVODE, CVODES, ARKODE, IDA, IDAS and KINSOL with the serial vector and the dense, band and iterative linear solvers) and builds it into a static library. Other packages use it by adding 'sundials' to 'LinkingTo' for the headers and calling sundials::LdFlags() from their 'Makevars' to link the library. No 'Fortran', 'MPI', GPU or external third-party-library modules are included. 'SUNDIALS' is described in Hindmarsh et al. (2005) <doi:10.1145/1089014.1089020>.
License: BSD_3_clause + file LICENSE
Copyright: file inst/COPYRIGHTS
URL: https://github.com/Konrad1991/sundials, https://computing.llnl.gov/projects/sundials
BugReports: https://github.com/Konrad1991/sundials/issues
Encoding: UTF-8
NeedsCompilation: yes
SystemRequirements: GNU make
Suggests: tinytest, Rcpp, deSolve
Packaged: 2026-10-10 09:59:37 UTC; konrad
Author: Konrad Kraemer [aut, cre], Lawrence Livermore National Security [cph] , Southern Methodist University [cph] , University of Maryland Baltimore County [cph] , SUNDIALS contributors [aut, cph]
Maintainer: Konrad Kraemer <konrad_kraemer@yahoo.de>
Repository: CRAN
Date/Publication: 2026-10-21 14:30:15 UTC

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New package sbert with initial version 0.5.8
Package: sbert
Title: Topic Modeling with 'Sentence-BERT' Embeddings
Version: 0.5.8
Description: Builds semantic topic models from 'Sentence-BERT' embeddings (Reimers and Gurevych, 2019) <doi:10.18653/v1/D19-1410>. Sentence embeddings are computed in several modes with models run on the Open Neural Network Exchange ('ONNX') Runtime, including multilingual and long-context encoders and a fast static model. Topics are labeled with class-based term weighting that can be retuned without refitting. Candidate topic counts and document granularities (whole documents, sentences, clauses, or phrases) can be compared side by side, and fitted models assign topics to new documents, give soft memberships and per-document topic mixtures. The package offers coherence and diversity metrics and visualizations.
License: MIT + file LICENSE
URL: https://sonsoles.me/sbert/, https://github.com/sonsoleslp/sbert
BugReports: https://github.com/sonsoleslp/sbert/issues
Encoding: UTF-8
Language: en-US
LazyData: true
Depends: R (>= 4.1.0)
Imports: digest, grDevices, graphics, onnxr (>= 0.1.2), parallel, tok (>= 0.2.3), stats, tools, utils
Suggests: SnowballC, jsonlite, knitr, rmarkdown, testthat (>= 3.0.0), withr
SystemRequirements: ONNX Runtime (>= 1.25.1)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-10-09 17:02:15 UTC; slopezpe
Author: Mohammed Saqr [aut, cph] , Sonsoles Lopez-Pernas [aut, cre, cph]
Maintainer: Sonsoles Lopez-Pernas <sonsoles.lopez@uef.fi>
Repository: CRAN
Date/Publication: 2026-10-21 14:20:02 UTC

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New package reconf with initial version 0.2.0
Package: reconf
Title: Confidence Intervals for Random Effect Parameters in Linear Mixed Models
Version: 0.2.0
Description: Computes score-based confidence intervals and hypothesis tests for variance and covariance parameters of random effects in linear mixed models fitted with 'lme4'. The intervals invert a profile score statistic on the variance-covariance scale, with nuisance parameters estimated on an extended parameter set. The intervals have near-nominal coverage uniformly in the parameter, including near the boundary of the parameter space, where Wald and likelihood ratio intervals can be unreliable. The methods are described in Shedden and Ekvall (2026) <doi:10.48550/arXiv.2610.04181>, building on Ekvall and Bottai (2026) <doi:10.1093/biomet/asaf079>, Zhang, Ekvall, and Molstad (2025) <doi:10.1093/biomet/asaf010>, and Ekvall and Bottai (2022) <doi:10.1214/22-AOS2177>.
URL: https://github.com/koekvall/reconf
BugReports: https://github.com/koekvall/reconf/issues
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Depends: R (>= 3.5.0)
LazyData: true
Imports: Matrix (>= 1.5-0), lme4 (>= 1.1-8), Rcpp, trust, methods, generics
LinkingTo: Rcpp, RcppEigen
Suggests: testthat (>= 3.0.0), numDeriv, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-10-10 14:50:14 UTC; k.ekvall
Author: Karl Oskar Ekvall [aut, cre, cph], Yiqiao Zhang [ctb], Matias Shedden [ctb]
Maintainer: Karl Oskar Ekvall <k.o.ekvall@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-21 14:50:02 UTC

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New package oddsrelay with initial version 0.1.0
Package: oddsrelay
Title: Client for the 'OddsRelay' Sports Odds API
Version: 0.1.0
Description: Provides one function for each read endpoint of the 'OddsRelay' web service <https://oddsrelay.io/docs>, which serves bookmaker and exchange odds for the UK and Ireland. Requests ask for compressed replies, send entity tags so that unchanged data is not transferred again, wait as the service asks when it is busy, and signal refusals as classed conditions that carry the service's error code and request id. Replies are returned as lists and data frames, with the token and rate limit headers attached as attributes.
License: MIT + file LICENSE
URL: https://github.com/oddsrelay/oddsrelay-r, https://oddsrelay.io/docs
BugReports: https://github.com/oddsrelay/oddsrelay-r/issues
Depends: R (>= 4.1.0)
Imports: httr2 (>= 1.2.0), jsonlite, stats, utils
Suggests: testthat (>= 3.1.7), withr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-10-09 18:54:39 UTC; omfp
Author: James OddsRelay [aut, cre], OddsRelay [cph]
Maintainer: James OddsRelay <hello@oddsrelay.io>
Repository: CRAN
Date/Publication: 2026-10-21 14:40:02 UTC

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New package LatencyA with initial version 1.0.2
Package: LatencyA
Title: Latency Analysis in Epidemiological Studies Using Weighted Cumulative Exposures
Version: 1.0.2
Maintainer: Fuyu Guo <fuyuguo@hsph.harvard.edu>
Description: Implements weighted cumulative exposure Cox proportional hazards models for latency analysis with repeatedly measured, time-varying exposures. Instead of entering every lagged exposure as a separate and highly correlated covariate, the lag-specific log hazard ratios are constrained to follow a smooth function of the time since exposure, parameterized by natural cubic splines or polynomials, so that the susceptible window of an exposure can be identified from the estimated lag-risk curve. Functions are provided to fit models with a prespecified number of knots or polynomial degree, to select the number of knots by a grid search or the spline terms by a stepwise search using the Akaike or Bayesian information criterion, and to extract lag-specific log hazard ratios with their variances. For the data-driven model selection procedures, inference is based on a cluster bootstrap that resamples subjects, which can be run sequentially or in parallel. The methods are described in Guo, Qian, Wan [...truncated...]
Imports: Hmisc, survival, stats, MASS, stringr, future, furrr
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1.0)
NeedsCompilation: no
Packaged: 2026-10-09 18:21:45 UTC; fuyuguo
Author: Fuyu Guo [aut, cre], Zihan Qian [aut], Molin Wang [aut]
Repository: CRAN
Date/Publication: 2026-10-21 14:10:02 UTC

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New package ggfourfold with initial version 0.1.0
Package: ggfourfold
Title: Fourfold Displays for 'ggplot2'
Version: 0.1.0
Language: en-US
Maintainer: Gavin Klorfine <gklorfin@yorku.ca>
Depends: R (>= 4.1.0)
Imports: ggplot2 (>= 4.0.0), grDevices, grid, stats
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), vcd
Description: Draws fourfold displays of 2 x 2 (x k) contingency tables as a 'ggplot2' layer, following Friendly (1994) <https://datavis.ca/papers/4fold/4fold.pdf> and Friendly and Meyer (2016) <doi:10.1201/9781315374413>. Cell frequencies are shown as quarter-circles or squares of proportional area, with confidence rings for the odds ratio and shading for the direction and strength of association. Stratified tables are shown with 'ggplot2' faceting and a corresponding 'ggplot2' theme is provided.
License: GPL (>= 2)
Encoding: UTF-8
VignetteBuilder: knitr
URL: https://gavinklorfine.com/ggfourfold/, https://github.com/gklorfine/ggfourfold
BugReports: https://github.com/gklorfine/ggfourfold/issues
NeedsCompilation: no
Packaged: 2026-10-10 01:18:24 UTC; gklorfine
Author: Gavin Klorfine [aut, cre, cph] , Michael Friendly [aut]
Repository: CRAN
Date/Publication: 2026-10-21 14:20:11 UTC

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New package gaussianprocesses with initial version 1.0.0
Package: gaussianprocesses
Title: Gaussian Processes from First Principles
Version: 1.0.0
Description: Gaussian process regression, classification, and count models with explicit covariance kernels, exact Gaussian inference, Laplace approximations for non-Gaussian likelihoods, sparse approximations, marginal-likelihood optimization, derivatives, posterior sampling, calibration diagnostics, and time-series workflows. The implementation follows the core methodology of Rasmussen and Williams (2006) <doi:10.7551/mitpress/3206.001.0001> and emphasizes numerical stability, transparent assumptions, and reproducible statistical workflows.
License: MIT + file LICENSE
URL: https://gaussian-processes-r-12efed.gitlab.io/, https://gitlab.com/DiogoRibeiro7/gaussian-processes-r
Encoding: UTF-8
Language: en-US
Imports: stats
Suggests: DiceKriging, gplite, kernlab, knitr, nlme, rmarkdown, testthat (>= 3.0.0), yaml
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-10-10 23:02:11 UTC; diogo
Author: Diogo Ribeiro [aut, cre]
Maintainer: Diogo Ribeiro <dfr@esmad.ipp.pt>
Repository: CRAN
Date/Publication: 2026-10-21 15:00:02 UTC

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New package FuzzyRandom with initial version 0.1.0
Package: FuzzyRandom
Title: Level-Wise Statistics for Fuzzy Random Variables
Version: 0.1.0
Date: 2026-10-06
Description: Level-wise statistical methods for fuzzy random variables, implementing the Puri-Ralescu framework. Provides level-wise empirical distribution functions, moments, covariance and correlation, a level-wise Kolmogorov-Smirnov goodness-of-fit test, an approximate fuzzy normal distribution with simulation, and level-wise central limit theorem and law of large numbers inference. The package only depends on base R.
License: GPL-3
Encoding: UTF-8
Imports: stats, graphics, grDevices
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-10-10 04:42:13 UTC; GUNJAN AGGRWAL
Author: Gunjan Aggrwal [aut, cre] , Mukul Bijalwan [aut] , Mukul Jain [aut]
Maintainer: Gunjan Aggrwal <gunjanuk1994@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-21 14:20:17 UTC

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New package feols.asv with initial version 0.0-1
Package: feols.asv
Title: Average Shared Variance (ASV) Decomposition for Multiple Fixed-Effects Models
Version: 0.0-1
Date: 2026-10-10
Depends: R (>= 3.4.0),fixest,ggplot2,vegan
Maintainer: Jiangshan Lai <lai@njfu.edu.cn>
Description: Conducts average shared variance to calculate individual contributions of predictors (groups) towards within R2 for Multiple Fixed-Effects Models.
License: GPL
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-10-10 14:15:58 UTC; lai
Author: Jiangshan Lai [aut, cre]
Repository: CRAN
Date/Publication: 2026-10-21 14:50:08 UTC

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New package cldreducer with initial version 0.2.0
Package: cldreducer
Title: Reduce Compact Letter Displays
Version: 0.2.0
Description: Reduces compact letter displays (CLDs) of all pairwise comparisons. A CLD gives two groups a common letter exactly when they are not significantly different. The package finds a display with the fewest letter assignments that keeps every one of these relationships. This is the assignment-minimum clique covering problem of Ennis, Fayle, and Ennis (2012) <doi:10.1145/2133803.2275596>, solved as a mixed-integer linear program with 'HiGHS'. Among the displays with the fewest assignments, it returns one fixed canonical display, so the result does not depend on the solver. The package includes the wheat yield example of Piepho (2004) <doi:10.1198/1061860043515>.
License: MIT + file LICENSE
Copyright: See file COPYRIGHTS for example data sources and reuse status.
URL: https://github.com/aigorahub/cld-reducer
BugReports: https://github.com/aigorahub/cld-reducer/issues
Depends: R (>= 4.0.0)
Imports: highs (>= 1.14.0), Matrix
Suggests: testthat (>= 3.1.7)
Encoding: UTF-8
Language: en-US
LazyData: true
NeedsCompilation: no
Packaged: 2026-10-10 12:56:44 UTC; john
Author: John Ennis [aut, cre], Aigora [cph, fnd]
Maintainer: John Ennis <john.m.ennis@aigora.com>
Repository: CRAN
Date/Publication: 2026-10-21 14:50:13 UTC

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New package boundedHill with initial version 0.1.0
Package: boundedHill
Title: Bayesian Logistic Regression with Lower and Upper Asymptotes
Version: 0.1.0
Description: Fits Bayesian logistic regression models in which the success probability rises or falls between a lower and an upper asymptote instead of between 0 and 1, for binomial outcomes including binary data. The success probability equals the lower asymptote plus the difference between the two asymptotes multiplied by the logistic function of a linear predictor. The lower and upper asymptotes can be either estimated or fixed. With a single predictor such as log dose, this is the four-parameter logistic (Hill) model. Posterior computation is a full Gibbs sampler that requires no tuning.
License: GPL (>= 3)
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.1.0)
Imports: BayesLogit, graphics, grDevices, posterior, stats
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-10-10 10:53:55 UTC; gangj
Author: Minji Lee [aut, cre, cph], Chang Hyeong Lee [aut, cph], Ryung S. Kim [aut, cph]
Maintainer: Minji Lee <leeminji@unist.ac.kr>
Repository: CRAN
Date/Publication: 2026-10-21 14:40:08 UTC

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New package aquats with initial version 1.2.2
Package: aquats
Title: Robust Ecological and Fisheries Data Analysis and Visualization
Version: 1.2.2
Description: A comprehensive statistical and visualization toolkit tailored for observational data in fisheries science and aquatic ecology. Provides streamlined workflows for univariate and factorial analysis of variance (ANOVA), analysis of covariance (ANCOVA), multivariate analysis of variance (MANOVA), permutational multivariate analysis of variance (PERMANOVA), similarity percentages (SIMPER), generalized linear models, non-linear morphometric regressions, two-group hypothesis testing, and chi-square tests. Features multivariate ordination methods including non-metric multidimensional scaling (NMDS), principal component analysis (PCA), redundancy analysis (RDA), distance-based redundancy analysis (db-RDA), and hierarchical cluster dendrograms. Computes alpha diversity metrics, species accumulation curves, water quality index (WQI) values, heavy metal ecotoxicological contamination indices, correlation heatmaps, and Mantel test network linkages. Offers specialized environmental visualizations i [...truncated...]
License: MIT + file LICENSE
URL: https://github.com/Ataher76/aquats, https://doi.org/10.5281/zenodo.22885025
BugReports: https://github.com/Ataher76/aquats/issues
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
Imports: dplyr, emmeans, ggplot2, ggpubr, ggrepel, MASS, multcomp, RColorBrewer, rlang, tidyr, ggalluvial, vegan
Suggests: cowplot, knitr, multcompView, patchwork, readxl, rmarkdown, writexl
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-10-11 05:34:56 UTC; User
Author: Ataher Ali [aut, cre] , Mohammed Shahidul Alam [aut]
Maintainer: Ataher Ali <ataher.cu.ms@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-21 15:00:12 UTC

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New package adlaplace with initial version 0.7.4
Package: adlaplace
Title: Laplace Approximations Using Automatic Differentiation
Version: 0.7.4
Date: 2026-10-08
Maintainer: Patrick Brown <patrick.borgnine@gmail.com>
Description: Computes Laplace-approximate maximum likelihood for hierarchical and latent Gaussian models. A formula interface specifies observation densities (e.g. Gaussian, negative Binomial), fixed effects, and random terms (independent effects, smoothing terms). Customized response distributions and models for random effects can be specified through a low-level interface or by writing interoperable packages. Derivatives are computed using automatic differentiation with 'CppAD', and used in trust region optimization to find modes of random effects. Derivatives of the Laplace approximation of the log-likelihood are computed using third order contractions and is compatible with custom atomics. The approach follows Kristensen, Nielsen, Berg, Skaug, and Bell (2016) <doi:10.18637/jss.v070.i05>.
License: GPL (>= 2)
Depends: R (>= 3.5.0)
Imports: Matrix (>= 1.2.18), Rcpp (>= 1.0.3), methods, data.table, stats, graphics, RCppAD
Suggests: knitr, rmarkdown, trustOptim, testthat (>= 3.0.0), mvQuad, mgcv, MASS, nlme, sn, terra, GET, WoodburyMatrix, extraDistr, RSpectra, aghq, numDeriv
VignetteBuilder: knitr
LinkingTo: Rcpp, RcppEigen, trustOptim, Matrix, RCppAD
Encoding: UTF-8
SystemRequirements: OpenMP
NeedsCompilation: yes
LazyData: true
Packaged: 2026-10-09 20:46:55 UTC; patrick
Author: Patrick Brown [aut, cre, cph]
Repository: CRAN
Date/Publication: 2026-10-21 14:40:14 UTC

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New package webformscore with initial version 2.2.0
Package: webformscore
Title: 'WebForms Core'
Version: 2.2.0
Description: A stateless server-driven user interface technology for building web interfaces through server-side user interface manipulation. 'WebForms Core' provides a common structure across multiple programming languages. The server-side class acts as a commander that generates commands, while 'WebFormsJS' serves as the client-side executor that applies them. Commands range from atomic operations, such as adding elements and modifying text and attributes, to higher-level operations such as iterative processing and render. See <https://github.com/webforms-core>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: R6
NeedsCompilation: no
Packaged: 2026-10-09 14:55:34 UTC; Mohammad
Author: Mohammad Rabie [aut, cre]
Maintainer: Mohammad Rabie <info@elanat.net>
Repository: CRAN
Date/Publication: 2026-10-21 13:20:02 UTC

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Package wdsmatch updated to version 0.2.2 with previous version 0.2.1 dated 2026-09-19

Title: Weighted Double Score Matching for Survey-Weighted Causal Inference
Description: Implements weighted double score matching (WDSM) for estimating population-level causal effects from complex survey data. Combines propensity scores and prognostic scores with survey design weights for matching, survey-weighted imputation within match sets, and Hajek normalization to target the population average treatment effect (PATE) and the population average treatment effect on the treated (PATT). Supports both retrospective (treatment-dependent) and prospective (treatment-independent) sampling designs. Uses propensity probabilities and arm-specific prognostic scores for matching, with a complete quadratic bias correction in each arm's double score. Provides linearization-based multinomial replication variance estimates and centered normal Wald confidence intervals, retaining the original matching reuse coefficients without re-matching. Supplied scores can be held fixed for inference conditional on those scores. This weight-only interface does not encode survey strata, clusters, o [...truncated...]
Author: Yukang Zeng [aut, cre], Guangyu Tong [aut], Jiaqi Tong [aut], Haidong Lu [aut], Bhramar Mukherjee [aut], Fan Li [aut]
Maintainer: Yukang Zeng <ykzeng2019@gmail.com>

Diff between wdsmatch versions 0.2.1 dated 2026-09-19 and 0.2.2 dated 2026-10-21

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Package teems updated to version 1.0.1 with previous version 1.0.0 dated 2026-10-17

Title: Trade and Environment Equilibrium Modeling System
Description: Equilibrium models are frequently employed to examine the potential impacts of economic, energy, and trade policies as well as form the foundation of most integrated assessment models. The 'teems' package handles all aspects of running equilibrium models while facilitating transparent and reproducible workflows.
Author: Matthew Cantele [aut, cre, cph] , Tom Kompas [ctb, ths] , Ha Van Pham [ctb] , Martin Ingram [ctb]
Maintainer: Matthew Cantele <matthew.cantele@protonmail.com>

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Package stIHC updated to version 0.1.1 with previous version 0.1.0 dated 2026-01-12

Title: Spatial Transcriptomics Iterative Hierarchical Clustering
Description: Spatial transcriptomics iterative hierarchical clustering ('stIHC'), is a method for identifying spatial gene co-expression modules, defined as groups of genes with shared spatial expression patterns. The method is applicable across spatial transcriptomics technologies with differing spatial resolution, and provides a framework for investigating the spatial organisation of gene expression in tissues. For further details, see Higgins C., Li J.J., Carey M. <doi:10.1002/qub2.70011>.
Author: Catherine Higgins [aut, cre], Jingyi Jessica Li [aut], Michelle Carey [aut]
Maintainer: Catherine Higgins <catherine.higgins@mu.ie>

Diff between stIHC versions 0.1.0 dated 2026-01-12 and 0.1.1 dated 2026-10-21

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Package statsExpressions updated to version 2.2.1 with previous version 2.2.0 dated 2026-10-17

Title: Tidy Dataframes and Expressions with Statistical Details
Description: Utilities for producing dataframes with rich details for the most common types of statistical approaches and tests: parametric, nonparametric, robust, and Bayesian t-test, one-way ANOVA, correlation analyses, contingency table analyses, and meta-analyses. The functions are pipe-friendly and provide a consistent syntax to work with tidy data. These dataframes additionally contain expressions with statistical details, and can be used in graphing packages. This package also forms the statistical processing backend for 'ggstatsplot'. References: Patil (2021) <doi:10.21105/joss.03236>.
Author: Indrajeet Patil [cre, aut, cph]
Maintainer: Indrajeet Patil <patilindrajeet.science@gmail.com>

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More information about statsExpressions at CRAN
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Package quanteda updated to version 4.5.1 with previous version 4.5.0 dated 2026-08-04

Title: Quantitative Analysis of Textual Data
Description: A fast, flexible, and comprehensive framework for quantitative text analysis in R. Provides functionality for corpus management, creating and manipulating tokens and n-grams, exploring keywords in context, forming and manipulating sparse matrices of documents by features and feature co-occurrences, analyzing keywords, computing feature similarities and distances, applying content dictionaries, applying supervised and unsupervised machine learning, visually representing text and text analyses, and more.
Author: Kenneth Benoit [cre, aut, cph] , Kohei Watanabe [aut] , Haiyan Wang [aut] , Paul Nulty [aut] , Adam Obeng [aut] , Stefan Mueller [aut] , Akitaka Matsuo [aut] , William Lowe [aut] , Christian Mueller [ctb], Olivier Delmarcelle [ctb] , European Research [...truncated...]
Maintainer: Kenneth Benoit <kbenoit@lse.ac.uk>

Diff between quanteda versions 4.5.0 dated 2026-08-04 and 4.5.1 dated 2026-10-21

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More information about quanteda at CRAN
Permanent link

New package posc with initial version 0.2.0
Package: posc
Title: Probability of Outcome Superiority Curves
Version: 0.2.0
Description: Computes, plots and compares probability of outcome superiority curves (POSCs). For two people who differ by a given amount on a continuous predictor, a POSC gives the probability that the person with the higher predictor score also has the higher outcome, a probabilistic and decision-oriented alternative to reporting a correlation coefficient. Curves can be computed from a correlation under bivariate normality, from a correlation matrix for an optimally weighted composite of predictors, from a fitted linear model, or estimated directly from raw data with a flexible spline model and bootstrap confidence bands.
License: MIT + file LICENSE
URL: https://matthewbjane.com/posc/, https://github.com/MatthewBJane/posc
BugReports: https://github.com/MatthewBJane/posc/issues
Depends: R (>= 4.1.0)
Imports: ggplot2 (>= 3.4.0), splines, stats, utils
Suggests: testthat (>= 3.0.0)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-10-09 16:42:34 UTC; mattjane
Author: Matthew B. Jane [aut, cre]
Maintainer: Matthew B. Jane <matthewbjane@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-21 13:50:02 UTC

More information about posc at CRAN
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New package oes with initial version 1.0.0
Package: oes
Title: Optimal Effect-Size-Based Y-Axis Ranges
Version: 1.0.0
Description: Calculates effect-size-informed y-axis recommendations for visualizations of independent, repeated-measures, and mixed designs. Summarizes selected error bars, estimates conditional standardized contrasts, and generalizes range-expansion rules using constants from single-factor, two-level studies of Cohen's d. Recommendations beyond that studied setting have not been empirically validated. Provides numerical results and 'ggplot2' visualizations, including summary plots and preservation of supplied plot layouts. Confidence-interval adjustment options follow the distinctions in Cousineau (2017) <doi:10.5709/acp-0214-z>, including difference adjustment and combined repeated-measures adjustment. Within-subject base intervals use the normalization of Cousineau (2005) <doi:10.20982/tqmp.01.1.p042> with the bias correction of Morey (2008) <doi:10.20982/tqmp.04.2.p061>. Correlation-only intervals and intervals with both adjustments are separate options. These references suppo [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: dplyr (>= 1.0.0), ggplot2 (>= 4.0.0), rlang (>= 1.0.0), rstatix (>= 0.7.2), stats, utils
Suggests: ggsci, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-10-09 15:10:21 UTC; root
Author: Shuo Zang [aut, cre, cph] , Denis Cousineau [aut, cph]
Maintainer: Shuo Zang <zshuo070@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-21 14:00:02 UTC

More information about oes at CRAN
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Package multicool updated to version 1.0.2 with previous version 1.0.1 dated 2024-02-05

Title: Permutations of Multisets in Cool-Lex Order
Description: A set of tools to permute multisets without loops or hash tables and to generate integer partitions. The permutation functions are based on C code from Aaron Williams. Cool-lex order is similar to colexicographical order. The algorithm is described in Williams, A. Loopless Generation of Multiset Permutations by Prefix Shifts. SODA 2009, Symposium on Discrete Algorithms, New York, United States. The permutation code is distributed without restrictions. Multinomial coefficients, Stirling numbers of the second kind and Bell numbers are computed exactly using the 'gmp' package. The package also generates the integer partitions of a positive, non-zero integer n. The C++ code for this is based on Python code from Jerome Kelleher, and the algorithm is described in Kelleher and O'Sullivan (2009) <doi:10.48550/arXiv.0909.2331>. The C++ code and Python code are distributed without conditions.
Author: James Curran [aut, cre], Aaron Williams [aut], Jerome Kelleher [aut]
Maintainer: James Curran <j.curran@auckland.ac.nz>

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More information about multicool at CRAN
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Package MosaiClusteR updated to version 0.1.4 with previous version 0.1.1 dated 2026-08-21

Title: An Umbrella Framework for Multi-Source and Multi-Omics Clustering
Description: An umbrella framework ("MoSaIC:" Multi-Omics Similarity Aggregation and Integrative Clustering in R) that unifies a large collection of multi-source / multi-omics clustering methodologies behind a single, consistent list-of-matrices interface. It spans five integration paradigms - direct, similarity-based, graph-based, voting-based consensus, and hierarchy-based - and bundles a complete downstream workflow for method comparison and evaluation. The package features the multi-source the ability to compare many algorithms on the same footing, a data-nugget based feature-weighting scheme as a robust, big-data-friendly alternative to variance weighting, and a downstream suite for cluster characterisation, visualisation and biological interpretation.
Author: Bernard Isekah Osang'ir [aut, cre] , Marijke Van Moerbeke [aut], Ziv Shkedy [ctb], Surya Gupta [ctb], Juergen Claesen [ctb]
Maintainer: Bernard Isekah Osang'ir <b.osangir@gmail.com>

Diff between MosaiClusteR versions 0.1.1 dated 2026-08-21 and 0.1.4 dated 2026-10-21

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More information about MosaiClusteR at CRAN
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New package metamixr with initial version 0.1.0
Package: metamixr
Title: Bayesian Meta-Analytic Mixture Modelling
Version: 0.1.0
Description: Fits Bayesian random-effects meta-analytic mixture models in which the true study effects are drawn from a mixture of normal components with component-specific means and between-study heterogeneity. The mixture model can be combined with step-function selection models (Vevea and Hedges, 1995, <doi:10.1007/BF02294384>) to adjust for publication bias, either with one selection model for all studies or with separate selection models for groups of studies. Models are estimated by Hamiltonian Monte Carlo using 'rstan' and returned as 'stanfit' objects, so posterior summaries, posterior predictive checks and marginal likelihoods for model comparison (via 'bridgesampling') are readily available. Also includes a data simulator and the nudging meta-analysis data of Mertens et al. (2022) <doi:10.1073/pnas.2107346118>.
License: MIT + file LICENSE
URL: https://github.com/MaxMaier42/metamix, https://maxmaier42.github.io/metamix/
BugReports: https://github.com/MaxMaier42/metamix/issues
Encoding: UTF-8
Language: en-GB
Biarch: true
Depends: R (>= 3.5)
Imports: methods, Rcpp (>= 0.12.0), RcppParallel (>= 5.0.1), rstan (>= 2.26.0), rstantools (>= 2.4.0), stats
LinkingTo: BH (>= 1.66.0), Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.3.0), RcppParallel (>= 5.0.1), rstan (>= 2.26.0), StanHeaders (>= 2.26.0)
SystemRequirements: GNU make
Suggests: testthat (>= 3.0.0), bridgesampling, knitr, rmarkdown
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: yes
Packaged: 2026-10-09 17:22:46 UTC; maxim
Author: Maximilian Maier [aut, cre] , Trustees of Columbia University [cph]
Maintainer: Maximilian Maier <maximilianmaier0401@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-21 14:00:08 UTC

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Package icarus updated to version 0.3.4 with previous version 0.3.3 dated 2025-09-09

Title: Calibrates and Reweights Units in Samples
Description: Provides user-friendly tools for calibration in survey sampling. The package is production-oriented, and its interface is inspired by the famous popular macro 'Calmar' for SAS, so that 'Calmar' users can quickly get used to 'icarus'. In addition to calibration (with linear, raking and logit methods), 'icarus' features functions for calibration on tight bounds and penalized calibration.
Author: Antoine Rebecq [aut] , Jean Rubin [cre], Khaled Larbi [aut], Institut national de la statistique et des etudes economiques [cph]
Maintainer: Jean Rubin <jean.rubin@insee.fr>

Diff between icarus versions 0.3.3 dated 2025-09-09 and 0.3.4 dated 2026-10-21

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New package hsquared with initial version 0.9.0
Package: hsquared
Title: 'R' Interface for 'Julia'-Backed Quantitative-Genetic Models
Version: 0.9.0
Description: Provides an interface for quantitative-genetic models in 'R', backed by the 'HSquared.jl' engine for 'Julia'. Fits Gaussian pedigree animal models by restricted maximum likelihood, using average-information restricted maximum likelihood (AI-REML; Gilmour et al. (1995) <doi:10.2307/2533274>) for the univariate model. Returns heritability, variance components, breeding values, and covariance and correlation matrices for multivariate models. Formula and pedigree validation can run without 'Julia'. Model fitting requires a local 'Julia' and 'HSquared.jl'; use hs_control(engine = "validate") to preview the model contract without fitting. What you may report is listed on the package article 'Can I fit and report this?', not in validation_status(), which is a developer evidence table. Model-specific restrictions are documented in that article. Uncertainty intervals are not coverage-calibrated.
License: MIT + file LICENSE
URL: https://itchyshin.github.io/hsquared/, https://github.com/itchyshin/hsquared, https://github.com/itchyshin/HSquared.jl
BugReports: https://github.com/itchyshin/hsquared/issues
Encoding: UTF-8
Language: en-US
Imports: ggplot2, lifecycle, Matrix, stats
Suggests: enhancer, JuliaCall, knitr, lme4, nadiv, pedigreemm, rmarkdown, sommer, testthat (>= 3.0.0), withr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-10-09 12:31:53 UTC; z3437171
Author: Shinichi Nakagawa [aut, cre, cph] , Yefeng Yang [aut, cph] , Szymon Drobniak [aut, cph]
Maintainer: Shinichi Nakagawa <itchyshin@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-21 13:10:26 UTC

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Package glyph updated to version 0.2.0 with previous version 0.1.1 dated 2026-07-08

Title: A Grammar of Interactive Graphics
Description: Builds interactive graphics from a declarative specification. Marks, scales, tooltips, zoom, brushing, linked selections, animated transitions and multi-plot layouts are declared in one pipeline and stored as a plain R list that can be inspected, saved as JSON or converted to 'Vega-Lite'. Plots are drawn in the browser with 'D3.js' and work at the console, in R Markdown and 'Quarto' documents, and in 'Shiny' apps, where brushed selections are returned to R.
Author: Joash Joshua Ayo [aut, cre], Mike Bostock [ctb, cph]
Maintainer: Joash Joshua Ayo <joashjoshua789@gmail.com>

Diff between glyph versions 0.1.1 dated 2026-07-08 and 0.2.0 dated 2026-10-21

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New package edetect with initial version 0.1.0
Package: edetect
Title: Anytime-Valid Control Charts with E-Detectors
Version: 0.1.0
Description: Sequential change detection for process monitoring with e-detectors (Shin, Ramdas and Rinaldo, 2024, <doi:10.51387/23-NEJSDS51>): nonparametric, anytime-valid analogues of the CUSUM and Shiryaev-Roberts charts whose average run length to a false alarm is guaranteed for every distribution in a declared pre-change class (bounded, sub-Gaussian, Bernoulli or Poisson observations). Phase I/Phase II workflow, individual, p, c, u and regression charts, run-length simulation and auditable alarm reports.
License: GPL (>= 3)
URL: https://castlaboratory.github.io/edetect/, https://github.com/castlaboratory/edetect
BugReports: https://github.com/castlaboratory/edetect/issues
Encoding: UTF-8
Language: en-GB
Depends: R (>= 4.1)
Imports: cli (>= 3.6.0), generics, ggplot2 (>= 3.5.0), rlang (>= 1.1.0), stats, tibble (>= 3.2.0), utils
Suggests: knitr, rmarkdown, shewhartr, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-10-09 15:06:50 UTC; leite
Author: Andre Leite [aut, cre] , Raydonal Ospina [aut] , Cristiano Ferraz [aut]
Maintainer: Andre Leite <leite@castlab.org>
Repository: CRAN
Date/Publication: 2026-10-21 13:20:17 UTC

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New package dtptite with initial version 0.1.0
Package: dtptite
Title: Dose Transition Pathways for Time-to-Event Dose-Finding Designs
Version: 0.1.0
Description: Implements the Dose Transition Pathways (DTP) look-ahead strategy for time-to-event phase I dose-finding clinical trials with delayed or pending toxicity outcomes. Provides a DTP decorator for the 'escalation' framework, supporting both TITE-CRM (model-based) and TITE-BOIN (model-assisted) base designs.
License: GPL (>= 3)
URL: https://github.com/ICR-EPAT/dtptite
BugReports: https://github.com/ICR-EPAT/dtptite/issues
Depends: R (>= 4.1.0)
Imports: BOIN, dplyr, escalation (>= 0.2.0), stats, tibble
Suggests: dfcrm, ggplot2, testthat (>= 3.0.0), TITEgBOIN
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-10-09 14:32:32 UTC; xlai
Author: Xiaoran Lai [aut, cre], The Institute of Cancer Research [cph], National Institute for Health and Care Research [fnd]
Maintainer: Xiaoran Lai <xiaoran.lai@icr.ac.uk>
Repository: CRAN
Date/Publication: 2026-10-21 13:10:41 UTC

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Package corto updated to version 1.4.0 with previous version 1.3.1 dated 2026-08-21

Title: Inference of Gene Regulatory Networks
Description: We present 'corto' (Correlation Tool), a simple package to infer gene regulatory networks and visualize master regulators from gene expression data using DPI (Data Processing Inequality) and bootstrapping to recover edges. An initial step is performed to calculate all significant edges between a list of source nodes (centroids) and target genes. Then a DPI step removes edges: by default, for each target only the edge from the centroid with the strongest correlation is kept; optionally, the ARACNe rule removes an edge only if it is the weakest in a triplet of two centroids and one target. A bootstrapping process then calculates the robustness of the network, eventually re-adding edges previously removed by DPI. The algorithm has been optimized to run outside a computing cluster, using a fast correlation implementation. The package finally provides functions to calculate network enrichment analysis from RNA-Seq and ATAC-Seq signatures as described in the article by Giorgi lab (2020) < [...truncated...]
Author: Federico M. Giorgi [aut, cre], Daniele Mercatelli [ctb], Gonzalo Lopez-Garcia [ctb], Hugo Tovar [ctb], Hualin Wang [ctb]
Maintainer: Federico M. Giorgi <federico.giorgi@gmail.com>

Diff between corto versions 1.3.1 dated 2026-08-21 and 1.4.0 dated 2026-10-21

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Package brms.mmrm updated to version 1.1.2 with previous version 1.1.1 dated 2024-10-02

Title: Bayesian MMRMs using 'brms'
Description: The mixed model for repeated measures (MMRM) is a popular model for longitudinal clinical trial data with continuous endpoints, and 'brms' is a powerful and versatile package for fitting Bayesian regression models. The 'brms.mmrm' R package leverages 'brms' to run MMRMs, and it supports a simplified interfaced to reduce difficulty and align with the best practices of the life sciences. References: Bürkner (2017) <doi:10.18637/jss.v080.i01>, Mallinckrodt (2008) <doi:10.1177/009286150804200402>.
Author: William Michael Landau [aut, cre] , Kevin Kunzmann [aut] , Yoni Sidi [aut], Christian Stock [aut] , Eli Lilly and Company [cph, fnd], Boehringer Ingelheim Pharma GmbH & Co. KG [cph, fnd]
Maintainer: William Michael Landau <will.landau.oss@gmail.com>

Diff between brms.mmrm versions 1.1.1 dated 2024-10-02 and 1.1.2 dated 2026-10-21

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Package bbk updated to version 0.14.0 with previous version 0.13.0 dated 2026-08-28

Title: Client for Central Bank APIs
Description: A client for retrieving data and metadata from central bank APIs including 'Banco Central do Brasil' (BCB), 'Banco de España' (BdE), 'Banco de México' (Banxico), 'Banco de Portugal' (BdP), 'Bank for International Settlements' (BIS), 'Bank of Canada' (BoC), 'Bank of England' (BoE), 'Bank of Israel' (BoI), 'Bank of Japan' (BoJ), 'Banque de France' (BdF), 'Czech National Bank' (CNB), 'Deutsche Bundesbank' (BBk), 'European Central Bank' (ECB), 'National Bank of Belgium' (NBB), 'National Bank of Poland' (NBP), 'Norges Bank' (NoB), 'Oesterreichische Nationalbank' (OeNB), 'Sveriges Riksbank' (SRb), and 'Swiss National Bank' (SNB).
Author: Maximilian Muecke [aut, cre]
Maintainer: Maximilian Muecke <muecke.maximilian@gmail.com>

Diff between bbk versions 0.13.0 dated 2026-08-28 and 0.14.0 dated 2026-10-21

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Package OneSampleMR updated to version 0.1.9 with previous version 0.1.8 dated 2026-07-08

Title: One Sample Mendelian Randomization and Instrumental Variable Analyses
Description: Useful functions for one-sample (individual level data) Mendelian randomization and instrumental variable analyses. The package includes implementations of; the Sanderson and Windmeijer (2016) <doi:10.1016/j.jeconom.2015.06.004> conditional F-statistic, the multiplicative structural mean model Hernán and Robins (2006) <doi:10.1097/01.ede.0000222409.00878.37>, the logistic structural mean model Vansteelandt and Goetghebeur (2003) <doi:10.1046/j.1369-7412.2003.00417.x>, and two-stage predictor substitution and two-stage residual inclusion estimators explained by Terza et al. (2008) <doi:10.1016/j.jhealeco.2007.09.009>.
Author: Tom Palmer [aut, cre] , Wes Spiller [aut] , Eleanor Sanderson [aut] , Nicolai Vitt [aut]
Maintainer: Tom Palmer <remlapmot@hotmail.com>

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Package eHDPrep updated to version 2.0.1 with previous version 2.0.0 dated 2026-09-22

Title: Quality Control and Semantic Enrichment of Datasets
Description: A tool for the preparation and enrichment of health datasets for analysis (Toner et al. (2023) <doi:10.1093/gigascience/giad030>). Provides functionality for assessing data quality and for improving the reliability and machine interpretability of a dataset. 'eHDPrep' also enables semantic enrichment of a dataset where metavariables are discovered from the relationships between input variables determined from user-provided ontologies.
Author: Tom Toner [aut] , Kluivert Boakye Duah [aut] , Ian Overton [aut, cre]
Maintainer: Ian Overton <I.Overton@qub.ac.uk>

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Package tscv updated to version 1.0.2 with previous version 1.0.1 dated 2026-09-02

Title: Functions and Utilities for Tidy Time Series Forecasting and Time Series Cross-Validation
Description: Functions and tools for tidy time series analysis and forecasting as well as time series cross-validation. This is mainly a set of wrapper and helper functions as well as some extensions for the packages 'tsibble', 'fable', and 'fabletools'.
Author: Alexander Haeusser [aut, cre, cph]
Maintainer: Alexander Haeusser <alexander-haeusser@gmx.de>

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Package serrsBayes updated to version 0.6-1 with previous version 0.6-0 dated 2026-10-03

Title: Bayesian Modelling of Raman Spectroscopy
Description: Sequential Monte Carlo (SMC) algorithms for fitting a generalised additive mixed model (GAMM) to surface-enhanced resonance Raman spectroscopy (SERRS), using the method of Moores et al. (2026) <doi:10.48550/arXiv.1604.07299>. Multivariate observations of SERRS are highly collinear and lend themselves to a reduced-rank representation. The GAMM separates the SERRS signal into three components: a sequence of Lorentzian, Gaussian, or pseudo-Voigt peaks; a smoothly-varying baseline; and additive white noise. The parameters of each component of the model are estimated iteratively using SMC. The posterior distributions of the parameters given the observed spectra are represented as a population of weighted particles.
Author: Matt Moores [aut, cre] , Jake Carson [aut] , Dirk Eddelbuettel [ctb] , Benjamin Moskowitz [ctb] , Kirsten Gracie [dtc], Karen Faulds [dtc] , Duncan Graham [dtc] , Mark Girolami [aut] , Engineering and Physical Sciences Research Council [fnd] , Univer [...truncated...]
Maintainer: Matt Moores <mmoores@gmail.com>

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Package docorator updated to version 0.8.0 with previous version 0.7.0 dated 2026-07-08

Title: Docorate (Decorate + Output) Displays
Description: A framework for creating production outputs. Users can frame a table, listing, or figure with headers and footers and save to an output file. Stores an intermediate 'docorator' object for reproducibility and rendering to multiple output types.
Author: Shannon Haughton [aut, cre], Becca Krouse [aut], Dragoș Moldovan-Gruenfeld [aut], Seongbin Hong [ctb], Dmytro Syzonenko [ctb], GlaxoSmithKline Research & Development Limited [cph, fnd]
Maintainer: Shannon Haughton <shannon.l.haughton@gsk.com>

Diff between docorator versions 0.7.0 dated 2026-07-08 and 0.8.0 dated 2026-10-21

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Package TUvalues updated to version 1.2 with previous version 1.1.1 dated 2026-02-09

Title: Tools for Calculating Allocations in Game Theory using Exact and Approximated Methods
Description: The main objective of cooperative Transferable-Utility games (TU-games) is to allocate a good among the agents involved. The package implements major solution concepts including the Shapley value, Banzhaf value, and egalitarian rules, alongside their extensions for structured games: the Owen value and Banzhaf-Owen value for games with a priori unions, and the Myerson value for communication games on networks. To address the inherent exponential computational complexity of exact evaluation, the package offers both exact algorithms and linear approximation methods based on sampling, enabling the analysis of large-scale games. Additionally, it supports core set-based solutions, allowing computation of the vertices and the centroid of the core.
Author: Maria D. Guillen [cre, aut] , Juan Carlos Goncalves [aut] , Jesus Camacho [aut]
Maintainer: Maria D. Guillen <maria.guilleng@umh.es>

Diff between TUvalues versions 1.1.1 dated 2026-02-09 and 1.2 dated 2026-10-21

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New package termr with initial version 1.0.1
Package: termr
Title: Modern Reactive Terminal Applications with Data Workflows
Version: 1.0.1
Description: Build modern reactive terminal applications for data workflows in R using reusable widgets, layouts, events, focus management and themes. A virtual screen buffer and incremental rendering update changed cells, while a headless driver supports deterministic application tests. Includes data tables that render visible rows on demand, lazy table sources, data inspection, SQL editing and background R workers with progress and streamed output. Optional database support and static text, Markdown, HTML, SVG and JSON exports support analytical tools and reports without requiring an interactive terminal for static output.
License: MIT + file LICENSE
URL: https://github.com/41929424/termr
BugReports: https://github.com/41929424/termr/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: codetools, grDevices, R6, processx, ps, stats, utils
Suggests: DBI, jsonlite, knitr, RSQLite, testthat (>= 3.0.0), withr
NeedsCompilation: no
Packaged: 2026-10-09 12:17:59 UTC; User001
Author: Akims Mensikovs [aut, cre, cph]
Maintainer: Akims Mensikovs <akimm7926@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-21 10:20:02 UTC

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Package CohortSurvival updated to version 1.2.1 with previous version 1.2.0 dated 2026-10-01

Title: Estimate Survival from Common Data Model Cohorts
Description: Estimate survival using data mapped to the Observational Medical Outcomes Partnership common data model. Survival can be estimated based on user-defined study cohorts.
Author: Kim Lopez-Gueell [aut, cre] , Edward Burn [aut] , Marti Catala [aut] , Xintong Li [aut] , Danielle Newby [aut] , Nuria Mercade-Besora [aut]
Maintainer: Kim Lopez-Gueell <kim.lopez@spc.ox.ac.uk>

Diff between CohortSurvival versions 1.2.0 dated 2026-10-01 and 1.2.1 dated 2026-10-21

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New package soilcnn with initial version 0.1.0
Package: soilcnn
Title: Convolutional Neural Networks for Digital Soil Mapping
Version: 0.1.0
Description: A framework, built on 'torch', for mapping a soil property from point observations and a stack of aligned rasters with a convolutional network that reads the neighbourhood of each point. It extracts the patches; resamples by spatial blocks or by k-fold nearest neighbour distance matching, after Linnenbrink et al. (2024) <doi:10.5194/gmd-17-5897-2024>; tunes and selects under a noise floor and the one-standard-error rule; refits the selected configuration under several seeds; and predicts median, mean and interval maps over rasters of any extent. The map's centre is the ensemble median over seeds; the mean corrects its back-transformation by smearing, after Duan (1983) <doi:10.1080/01621459.1983.10478017>. The intervals are conformal, calibrated three ways and each checked on the test set: on the cross-validated residuals; on a calibration set held out of every fold, as split conformal, after Lei et al. (2018) <doi:10.1080/01621459.2017.1307116>; or with every fold's m [...truncated...]
License: MIT + file LICENSE
URL: https://github.com/moquedace/soilcnn, https://moquedace.github.io/soilcnn/
BugReports: https://github.com/moquedace/soilcnn/issues
Depends: R (>= 4.5.0)
Imports: callr, coro, dplyr, graphics, grDevices, janitor, matrixStats, parallel, ps, purrr, readr, stats, terra, tibble, tools, torch, utils
Suggests: caret, CAST, FNN, knitr, pkgload, randomForest, ranger, rmarkdown, sf, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-GB
NeedsCompilation: no
Packaged: 2026-10-09 12:06:31 UTC; Computador
Author: Cassio Marques Moquedace [aut, cre, cph], Clara Gloria Oliveira Baldi [aut, cph]
Maintainer: Cassio Marques Moquedace <cassiomoquedace@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-21 10:00:02 UTC

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New package rTARDIS with initial version 2.1.1
Package: rTARDIS
Title: Terrains and Routes Directed in Spacetime
Version: 2.1.1
Description: Implements classes and methods for constructing and analysing graph representations of complex geographic spaces at local to global scales, particularly where accessible spaces are discontinuously distributed but retain display connectivity (e.g., island systems where isolation is strong but not necessarily absolute), and where that distribution also changes through time (e.g., habitat patch fragmentation or plate tectonic drift). The package (originally named TARDIS) was first described and published in: Flannery-Sutherland, J., Elsler, A., Farnsworth, A., Lunt, D., Benton, M. (2025) <doi:10.1038/s41559-025-02739-y>.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 2.10)
LazyData: true
Imports: cppRouting, exactextractr, geosphere, h3jsr, h3r, igraph, Matrix, methods, palaeoverse, rgl, rlemon, scales, sf, stats, terra
Suggests: chronosphere, knitr, rmarkdown, testthat (>= 3.0.0), via
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-10-09 11:29:47 UTC; Joe FS
Author: Joe Flannery-Sutherland [aut, cre]
Maintainer: Joe Flannery-Sutherland <josephflannerysutherland@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-21 09:50:02 UTC

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Package EventStudy readmission to version 0.66.0 with previous version 0.39.2 dated 2023-03-28

Title: Event Study Analysis
Description: Financial event study analysis. Implements the classical event study methodology of MacKinlay (1997) <https://www.jstor.org/stable/2729691> with multiple return models: market model, market adjusted, comparison period mean adjusted, Fama and French three-factor (1993) <doi:10.1016/0304-405X(93)90023-5> and five-factor (2015) <doi:10.1016/j.jfineco.2014.10.010>, Carhart (1997) four-factor <doi:10.1111/j.1540-6261.1997.tb03808.x>, generalized autoregressive conditional heteroskedasticity (GARCH; Bollerslev, 1986) <doi:10.1016/0304-4076(86)90063-1>, rolling window, and dynamic conditional correlation GARCH (DCC-GARCH; Engle, 2002) <doi:10.1198/073500102288618487>. Provides parametric and non-parametric test statistics, including the standardized cross-sectional test of Boehmer, Musumeci and Poulsen (1991) <doi:10.1016/0304-405X(91)90032-F> and its cross-correlation adjustment by Kolari and Pynnonen (2010) <doi:10.1093/rfs/hhq072>; buy-and-ho [...truncated...]
Author: Simon Mueller [cre, aut]
Maintainer: Simon Mueller <sm@data-zoo.de>

This is a re-admission after prior archival of version 0.39.2 dated 2023-03-28

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New package BvCh with initial version 0.1.0
Package: BvCh
Title: Bivariate Chen Distribution: Density, Survival, Hazard, Plots and Estimates
Version: 0.1.0
Description: Probability density, survival and hazard functions, random generation, graphical displays and maximum likelihood estimation for bivariate Chen type models. Three constructions are covered: the Bivariate Chen distribution with a singular component on the diagonal, the Bivariate Extended Chen distribution, and the Bivariate Inverse copula Chen distribution obtained through an inverse copula with Chen marginals. Univariate Chen density, distribution, quantile, survival, hazard and random generation routines are obtained from the 'reliaR' package.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: reliaR (>= 0.2), stats, graphics, grDevices
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/puneetstat999/BvCh
BugReports: https://github.com/puneetstat999/BvCh/issues
NeedsCompilation: no
Packaged: 2026-10-09 06:54:54 UTC; IUD
Author: Mukul Bijalwan [aut] , Puneet Kumar Gupta [aut, cre]
Maintainer: Puneet Kumar Gupta <puneetstat999@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-21 09:10:02 UTC

More information about BvCh at CRAN
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New package BiasedMatch with initial version 0.1.0
Package: BiasedMatch
Title: Biased Matching for Two-Urn Sampling Problems
Version: 0.1.0
Description: Tools for the two-urn biased sampling problems of Puza and Bonfrer (2018) <doi:10.1080/03610926.2017.1300282>. Two overlapping sets of items are sampled without replacement, with items common to both sets given a selection weight favouring their inclusion. The package computes the probability mass function, mean and variance of the number of matching items using the univariate and bivariate Wallenius' non-central hypergeometric distributions, performs maximum likelihood and Bayesian inference for the bias parameter, and provides Metropolis-Hastings algorithms for hierarchical extensions.
Depends: R (>= 3.5.0)
Imports: BiasedUrn, mvtnorm, nortest, EnvStats, coda, stats, utils
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/andrebonfrer/BiasedMatch
BugReports: https://github.com/andrebonfrer/BiasedMatch/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-10-09 08:36:00 UTC; andre.bonfrer
Author: Andre Bonfrer [aut, cre] , Borek Puza [aut]
Maintainer: Andre Bonfrer <andre.bonfrer@deakin.edu.au>
Repository: CRAN
Date/Publication: 2026-10-21 09:40:16 UTC

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Package vaccineff updated to version 1.0.4 with previous version 1.0.3 dated 2026-07-29

Title: Estimate Vaccine Effectiveness Based on Different Study Designs
Description: Provides tools for estimating vaccine effectiveness and related metrics. The 'vaccineff_data' class manages key features for preparing, visualizing, and organizing cohort data, as well as estimating vaccine effectiveness. The results and model performance are assessed using the 'vaccineff' class.
Author: David Santiago Quevedo [aut] , Zulma M. Cucunuba [aut] , International Development Research Center [fnd] , Geraldine Gomez Millan [ctb] , Pratik Gupte [ctb] , Erika J Cantor [ctb] , Santiago Loaiza [ctb] , Jaime Pavlich-Mariscal [ctb, cre] , Hugo Gr [...truncated...]
Maintainer: Jaime Pavlich-Mariscal <jpavlich@javeriana.edu.co>

Diff between vaccineff versions 1.0.3 dated 2026-07-29 and 1.0.4 dated 2026-10-21

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Package tantivyr updated to version 0.1.3 with previous version 0.1.1 dated 2026-09-22

Title: Fast Full-Text Search for R with 'Tantivy'
Description: Index data frames and document collections and run fast full-text search entirely on your machine. 'tantivyr' wraps the 'Tantivy' 'Rust' search engine (a 'Lucene'-inspired library) to provide 'BM25' ranking, structured filters, snippet highlighting and incremental updates over an on-disk or in-memory index. First-class support is provided for stemming and stop words in Portuguese and English, making it well suited to public documents, news clippings, extracted 'PDF' text, transcripts and legal acts.
Author: Andre Leite [aut, cre] , Marcos Wasiliew [aut] , Hugo Vasconcelos [aut] , Carlos Amorim [aut] , Diogo Bezerra [aut] , Julia Nascimento Barreto [aut]
Maintainer: Andre Leite <leite@castlab.org>

Diff between tantivyr versions 0.1.1 dated 2026-09-22 and 0.1.3 dated 2026-10-21

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Package multilevLCA updated to version 2.1.7 with previous version 2.1.6 dated 2026-09-18

Title: Estimates and Plots Single-Level and Multilevel Latent Class Models
Description: Efficiently estimates single- and multilevel latent class models with covariates, allowing for output visualization in all specifications. For more technical details, see Lyrvall et al. (2025) <doi:10.1080/00273171.2025.2473935>.
Author: Roberto Di Mari [aut, cre], Johan Lyrvall [aut], Zsuzsa Bakk [ctb], Jennifer Oser [ctb], Jouni Kuha [ctb]
Maintainer: Roberto Di Mari <roberto.dimari@unict.it>

Diff between multilevLCA versions 2.1.6 dated 2026-09-18 and 2.1.7 dated 2026-10-21

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New package IFFuzzyStats with initial version 0.1.0
Package: IFFuzzyStats
Title: Intuitionistic Fuzzy Statistics
Version: 0.1.0
Maintainer: Mukul Bijalwan <mukulbijalwan555@gmail.com>
Description: Provides constructors and arithmetic for intuitionistic fuzzy values (intuitionistic fuzzy value, IFV) for intuitionistic fuzzy sets (Atanassov (1986) <doi:10.1016/S0165-0114(86)80034-3>), including aggregation operators of Xu (2007) <doi:10.1109/TFUZZ.2006.890678> and Xu and Yager (2006) <doi:10.1080/03081070600574353>: intuitionistic fuzzy weighted averaging (IFWA), intuitionistic fuzzy weighted geometric (IFWG), intuitionistic fuzzy ordered weighted averaging (IFOWA), intuitionistic fuzzy ordered weighted geometric (IFOWG), intuitionistic fuzzy hybrid averaging (IFHA), intuitionistic fuzzy hybrid geometric (IFHG), and Einstein operators; entropy (Szmidt and Kacprzyk (2000) <doi:10.1016/S0165-0114(98)00402-3>; Vlachos and Sergiadis (2007) <doi:10.1016/j.patrec.2006.07.004>) and distance and similarity measures, including Ye (2011) <doi:10.1016/j.mcm.2010.07.022> cosine similarity and Hamming, Euclidean and Hausdorff distances; intuitionistic fuzzy [...truncated...]
License: GPL-3
Encoding: UTF-8
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/MukulBijalwan/IFFuzzyStats
BugReports: https://github.com/MukulBijalwan/IFFuzzyStats/issues
NeedsCompilation: no
Packaged: 2026-10-09 05:37:41 UTC; Admin
Author: Mukul Bijalwan [aut, cre] , Gunjan Aggrwal [aut], Mukul Jain [aut]
Repository: CRAN
Date/Publication: 2026-10-21 08:40:24 UTC

More information about IFFuzzyStats at CRAN
Permanent link

Package actibase updated to version 0.8.0 with previous version 0.6.0 dated 2026-09-17

Title: Baseline Functions for Actigraphy and Activity Processing and Analysis
Description: Provides baseline functions for actigraphy and activity data. This package is intended to be extended by downstream overlays such as 'actiread', 'actimetrics', and 'stepcount'.
Author: John Muschelli [aut, cre]
Maintainer: John Muschelli <muschellij2@gmail.com>

Diff between actibase versions 0.6.0 dated 2026-09-17 and 0.8.0 dated 2026-10-21

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Package SpatialExtremes (with last version 2.1-0) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2022-04-19 2.1-0
2020-09-22 2.0-9
2020-03-09 2.0-8

Permanent link
Package evbsreg (with last version 1.2.0) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2026-09-18 1.2.0
2026-06-30 1.0.0

Permanent link
Package tailDepFun (with last version 1.0.1) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2021-06-03 1.0.1

Permanent link
New package tampaBayOpenData with initial version 0.1.0
Package: tampaBayOpenData
Title: An R Interface to Tampa Bay Public Open Data
Version: 0.1.0
Description: Provides a lightweight R interface for discovering and retrieving public 'ArcGIS' datasets across the Tampa Bay region. Search civic datasets and load records directly into R without manually navigating separate portals, constructing REST API requests, or handling pagination. Supports public data published by the City of Tampa, City of St. Petersburg, City of Clearwater, Hillsborough County, Pinellas County, and Tampa Bay Regional Planning Council. Discover layers in these and other public 'ArcGIS' portals and retrieve them by their REST URLs. A publisher registry configures discovery, while a separate dataset registry identifies layers checked by package maintainers. Filter catalogs by source, geometry, topic, category, and modification date. Retrieve queryable layers with validated pagination, bounded previews, server-side filtering, typed tabular results, optional spatial objects, and source provenance. Save large downloads as local chunks that can be validated and resumed. Designed [...truncated...]
License: MIT + file LICENSE
URL: https://jaclenga.github.io/tampaBayOpenData/, https://github.com/Jaclenga/tampaBayOpenData
BugReports: https://github.com/Jaclenga/tampaBayOpenData/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: httr2 (>= 1.2.3), jsonlite (>= 1.6.0), tibble (>= 3.0.0)
Suggests: knitr, rmarkdown, sf (>= 1.0.0), testthat (>= 3.2.1)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-10-08 23:23:39 UTC; jack3
Author: Jack Lenga [aut, cre, cph]
Maintainer: Jack Lenga <jlenga@alumni.cmu.edu>
Repository: CRAN
Date/Publication: 2026-10-21 08:00:02 UTC

More information about tampaBayOpenData at CRAN
Permanent link

Package ftsa updated to version 6.8 with previous version 6.7 dated 2026-03-31

Title: Functional Time Series Analysis
Description: Functions for visualizing, modeling, forecasting and hypothesis testing of functional time series.
Author: Rob Hyndman [aut] , Han Lin Shang [aut, cre, cph]
Maintainer: Han Lin Shang <hanlin.shang@mq.edu.au>

Diff between ftsa versions 6.7 dated 2026-03-31 and 6.8 dated 2026-10-21

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Tue, 20 Oct 2026

Package transDIF updated to version 0.2.0 with previous version 0.1.0 dated 2026-10-08

Title: Score Comparability for Translated and Adapted Exams
Description: An adaptation-comparability workflow for small, lower-scoring and unbalanced language groups where standard differential item functioning (DIF) tools (Magis, Beland, Tuerlinckx and De Boeck, 2010, <doi:10.3758/BRM.42.3.847>) break down. Calibrates the Rasch model in each language group, links the groups robustly through the densest cluster of items rather than assuming DIF cancels out (on anchor selection see Kopf, Zeileis and Strobl, 2015, <doi:10.1177/0013164414529792>), detects small-sample DIF with an empirical-Bayes spike-and-slab model and local false discovery rates (Efron, 2004, <doi:10.1198/016214504000000089>), quantifies whether item-level DIF accumulates into different pass rates, explains DIF by item features to give translators actionable guidance, and drafts a comparability report.
Author: Daniel Edi [aut, cre, cph]
Maintainer: Daniel Edi <danieledi2026@gmail.com>

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Package sigminer updated to version 2.4.0 with previous version 2.3.3 dated 2026-09-26

Title: Extract, Analyze and Visualize Mutational Signatures for Genomic Variations
Description: Genomic alterations including single nucleotide substitution, copy number alteration, etc. are the major force for cancer initialization and development. Due to the specificity of molecular lesions caused by genomic alterations, we can generate characteristic alteration spectra, called 'signature' (Wang, Shixiang, et al. (2021) <DOI:10.1371/journal.pgen.1009557> & Alexandrov, Ludmil B., et al. (2020) <DOI:10.1038/s41586-020-1943-3> & Steele Christopher D., et al. (2022) <DOI:10.1038/s41586-022-04738-6>). This package helps users to extract, analyze and visualize signatures from genomic alteration records, thus providing new insight into cancer study.
Author: Shixiang Wang [aut, cre] , Ziyu Tao [aut] , Huimin Li [aut] , Tao Wu [aut] , Xue-Song Liu [aut, ctb] , Anand Mayakonda [ctb]
Maintainer: Shixiang Wang <w_shixiang@163.com>

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Package quallmer updated to version 0.6.0 with previous version 0.5.0 dated 2026-09-29

Title: Qualitative Analysis with Large Language Models
Description: Tools for AI-assisted qualitative data coding using large language models ('LLMs') via the 'ellmer' package, supporting providers including 'OpenAI', 'Anthropic', 'Google', 'Azure', and local models via 'Ollama'. Provides a 'codebook'-based workflow for defining coding instructions and applying them to texts, images, audio recordings, and other data, with optional transcription of audio and translation of texts before coding through 'DeepL', 'Google', 'Qwen-MT', or a chat model. Includes built-in 'codebooks' for common applications such as sentiment analysis and policy coding, and functions for creating custom 'codebooks' for specific research questions. Supports systematic replication across models and settings, computing inter-coder reliability statistics including Krippendorff's alpha (Krippendorff 2019, <doi:10.4135/9781071878781>) and Fleiss' kappa (Fleiss 1971, <doi:10.1037/h0031619>), as well as gold-standard validation metrics including accuracy, precision, recall, [...truncated...]
Author: Seraphine F. Maerz [aut, cre] , Kenneth Benoit [aut]
Maintainer: Seraphine F. Maerz <seraphine.maerz@unimelb.edu.au>

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Package decisionfacets updated to version 0.2.0 with previous version 0.1.0 dated 2026-10-07

Title: Decision Accuracy and Consistency for Rater-Mediated Exams
Description: Answers "would this candidate have passed with a different set of raters?" for rater-mediated exams such as oral examinations, objective structured clinical examinations and essay scoring. Builds on the many-facet extension of the rating scale model (Andrich, 1978, <doi:10.1007/BF02293814>) to compute counterfactual pass probabilities under the observed, an average-severity and a random rater panel, under an explicit decision rule (raw total, fair average or measure), and splits expected misclassification into measurement error and rater assignment, extending item response theory classification accuracy (Lee, 2010, <doi:10.1111/j.1745-3984.2009.00096.x>) to rater effects. Supports panels in which every rater scores every task and designs in which each case is scored by a different examiner, with rating categories or continuous scores such as 0-100 (through a linear many-facet model). Models can be fitted with 'TAM' or built-in estimators.
Author: Daniel Edi [aut, cre, cph]
Maintainer: Daniel Edi <danieledi2026@gmail.com>

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Package AMDconfigurations updated to version 0.4.0 with previous version 0.2.1 dated 2026-10-12

Title: Geometric Analysis of Configurations in High-Dimensional Spaces
Description: Computes Average Membership Degree (AMD) from soft-membership matrices and constructs AMD curves across candidate configuration counts. The current curve backend uses repeated fuzzy c-means fits while keeping the AMD definition, membership estimation, curve construction, and final assignment as separate operations. Fitted memberships, convergence diagnostics, preprocessing transformations, seeds, row maps, and process-level reproducibility links are retained. The package reports numerical curve features but leaves their scientific interpretation to an explicitly justified analysis. The method was introduced by Mendoza and Araújo (2022) <doi:10.1111/ecog.06289>.
Author: Manuel Mendoza [aut, cre]
Maintainer: Manuel Mendoza <mmendoza@mncn.csic.es>

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Package stargazer2 updated to version 0.1.1 with previous version 0.1.0 dated 2026-07-17

Title: Beautiful Regression Tables for Modern Econometrics Packages
Description: Produces publication-quality LaTeX, ASCII, and HTML regression tables. Designed as a drop-in replacement for the 'stargazer' package for 'lm' and 'glm' models, with added native support for 'fixest', 'plm', and 'alpaca' objects including automatic fixed-effect and random-effect indicator rows and SE-type detection. Standard errors can be supplied as variance-covariance matrices, numeric vectors, or auto-extracted from supported model objects. Follows the interface of Hlavac (2022) <https://CRAN.R-project.org/package=stargazer>.
Author: Tom Zylkin [aut, cre]
Maintainer: Tom Zylkin <tzylkin@richmond.edu>

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Package coldstart updated to version 0.2.0 with previous version 0.1.0 dated 2026-10-07

Title: Calibrating Generated Items Before Pretesting with Predicted Priors
Description: Predicts Rasch item difficulty from item features (text embeddings from any model, template family, content metadata) by ridge regression (Hoerl and Kennard, 1970, <doi:10.1080/00401706.1970.10488634>) with honest out-of-sample uncertainty, uses the predictions as robust informative priors to calibrate new items from small pretest samples, in the spirit of using collateral information in calibration (Mislevy, Sheehan and Wingersky, 1993, <doi:10.1111/j.1745-3984.1993.tb00422.x>), plans the pretest sample size needed for a target precision, and diagnoses item families whose predictions cannot be trusted.
Author: Daniel Edi [aut, cre, cph]
Maintainer: Daniel Edi <danieledi2026@gmail.com>

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Package RDS updated to version 0.9-11 with previous version 0.9-10 dated 2024-09-06

Title: Respondent-Driven Sampling
Description: Provides functionality for carrying out estimation with data collected using Respondent-Driven Sampling. This includes Heckathorn's RDS-I and RDS-II estimators as well as Gile's Sequential Sampling estimator. The package is part of the "RDS Analyst" suite of packages for the analysis of respondent-driven sampling data. See Gile and Handcock (2010) <doi:10.1111/j.1467-9531.2010.01223.x>, Gile and Handcock (2015) <doi:10.1111/rssa.12091> and Gile, Beaudry, Handcock and Ott (2018) <doi:10.1146/annurev-statistics-031017-100704>.
Author: Mark S. Handcock [aut, cre] , Krista J. Gile [aut], Ian E. Fellows [aut], W. Whipple Neely [ctb]
Maintainer: Mark S. Handcock <handcock@stat.ucla.edu>

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Package AIUQ updated to version 0.5.6 with previous version 0.5.5 dated 2026-06-10

Title: Ab Initio Uncertainty Quantification
Description: Uncertainty quantification and inverse estimation by probabilistic generative models from the beginning of the data analysis. An example is a Fourier basis method for inverse estimation in scattering analysis of microscopy videos. It does not require specifying a certain range of Fourier bases and it substantially reduces computational cost via the generalized Schur algorithm. See the reference: Mengyang Gu, Yue He, Xubo Liu and Yimin Luo (2023), <doi:10.48550/arXiv.2309.02468>, and Tong Lin, Jinseok Lee, Matt Helgeson, Megan T Valentine, Yimin Luo, Mengyang Gu (2026), <doi:10.48550/arXiv.2605.29424>.
Author: Yue He [aut], Xubo Liu [aut], Tong Lin [aut], Mengyang Gu [aut, cre]
Maintainer: Mengyang Gu <mengyang@pstat.ucsb.edu>

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Package sumer updated to version 1.7.0 with previous version 1.6.0 dated 2026-05-05

Title: Sumerian Cuneiform Text Analysis
Description: Provides functions for converting transliterated Sumerian texts to sign names and cuneiform characters, creating and querying dictionaries, analyzing the structure of Sumerian words, and creating translations. Includes a built-in dictionary and supports both forward lookup (Sumerian to English) and reverse lookup (English to Sumerian).
Author: Robin Wellmann [aut, cre]
Maintainer: Robin Wellmann <ro.wellmann@gmail.com>

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Package MVar.pt updated to version 2.3.2 with previous version 2.3.1 dated 2026-10-12

Title: Analise multivariada (brazilian portuguese)
Description: Analise multivariada, tendo funcoes que executam analise de correspondencia simples (CA) e multipla (MCA), analise de componentes principais (PCA), analise de correlacao canonica (CCA), analise fatorial (FA), escalonamento multidimensional (MDS), analise discriminante linear (LDA) e quadratica (QDA), analise de cluster hierarquico e nao hierarquico, regressao linear simples e multipla, analise de multiplos fatores (MFA) para dados quantitativos, qualitativos, de frequencia (MFACT) e dados mistos, biplot, scatter plot, projection pursuit (PP), grant tour e outras funcoes uteis para a analise multivariada.
Author: Paulo Cesar Ossani [aut, cre] , Marcelo Angelo Cirillo [aut]
Maintainer: Paulo Cesar Ossani <ossanipc@hotmail.com>

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Package MVar updated to version 2.3.2 with previous version 2.3.1 dated 2026-10-12

Title: Multivariate Analysis
Description: Multivariate analysis, having functions that perform simple correspondence analysis (CA) and multiple correspondence analysis (MCA), principal components analysis (PCA), canonical correlation analysis (CCA), factorial analysis (FA), multidimensional scaling (MDS), linear (LDA) and quadratic discriminant analysis (QDA), hierarchical and non-hierarchical cluster analysis, simple and multiple linear regression, multiple factor analysis (MFA) for quantitative, qualitative, frequency (MFACT) and mixed data, biplot, scatter plot, projection pursuit (PP), grant tour method and other useful functions for the multivariate analysis.
Author: Paulo Cesar Ossani [aut, cre] , Marcelo Angelo Cirillo [aut]
Maintainer: Paulo Cesar Ossani <ossanipc@hotmail.com>

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Package Kira updated to version 1.1.0 with previous version 1.0.9 dated 2026-10-12

Title: Machine Learning
Description: Machine learning, containing several algorithms for supervised and unsupervised classification, in addition to a function that plots the Receiver Operating Characteristic (ROC) and Precision-Recall (PRC) curve graphs, and also a function that returns several metrics used for model evaluation, the latter can be used in ranking results from other packs.
Author: Paulo Cesar Ossani [aut, cre]
Maintainer: Paulo Cesar Ossani <ossanipc@hotmail.com>

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Package ifo updated to version 0.3.1 with previous version 0.3.0 dated 2026-09-19

Title: Client for the Ifo Institute Time Series
Description: Download ifo business survey data and more time series from ifo institute <https://www.ifo.de/en/ifo-time-series>.
Author: Maximilian Muecke [aut, cre]
Maintainer: Maximilian Muecke <muecke.maximilian@gmail.com>

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Package ggmlR updated to version 0.8.8 with previous version 0.8.4 dated 2026-08-21

Title: 'GGML' Tensor Operations for Machine Learning
Description: Provides 'R' bindings to the 'GGML' tensor library for machine learning, optimized for 'Vulkan' GPU acceleration with a transparent CPU fallback. The package features a 'Keras'-like sequential API and a 'PyTorch'-style 'autograd' engine for building, training, and deploying neural networks. Key capabilities include high-performance 5D tensor operations, 'f16' precision, and efficient quantization. It supports native 'ONNX' model import (50+ operators) and 'GGUF' weight loading from the 'llama.cpp' and 'Hugging Face' ecosystems. Designed for zero-overhead inference via dedicated weight buffering, it integrates seamlessly as a 'parsnip' engine for 'tidymodels' and provides first-class learners for the 'mlr3' framework. See <https://github.com/ggml-org/ggml> for more information about the underlying library.
Author: Yuri Baramykov [aut, cre] , Georgi Gerganov [ctb, cph] , Jeffrey Quesnelle [ctb, cph] , Bowen Peng [ctb, cph] , Mozilla Foundation [ctb, cph]
Maintainer: Yuri Baramykov <lbsbmsu@mail.ru>

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More information about ggmlR at CRAN
Permanent link

Package bayprior updated to version 0.5.0 with previous version 0.4.0 dated 2026-10-10

Title: Bayesian Prior Elicitation, Diagnostics, and Regulatory Reporting
Description: A toolkit for constructing, validating, and justifying Bayesian priors in clinical trial settings. Implements expert elicitation via quantile matching, the roulette method, and moment matching across six distribution families, linear and logarithmic expert pooling, meta-analytic-predictive (MAP) priors derived from historical trials, prior-data conflict diagnostics including the Box p-value (computed from the exact prior predictive distribution where one has a closed form), an exploratory surprisal (S-value) companion to it, surprise index, information divergence, and Mahalanobis distance, sensitivity analyses with tornado and influence heatmap plots, sceptical, robust, and power priors, and automated prior justification reports. Includes a fully modular 'Shiny' application for interactive use. Methods based on O'Hagan et al. (2006, ISBN:9780470029886), Box (1980) <doi:10.2307/2982063>, Greenland (2023) <doi:10.1111/sjos.12625>, Oakley and O'Hagan (2010) <https://tonyoha [...truncated...]
Author: Ndoh Penn [aut, cre]
Maintainer: Ndoh Penn <ndohpenn9@gmail.com>

Diff between bayprior versions 0.4.0 dated 2026-10-10 and 0.5.0 dated 2026-10-20

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More information about bayprior at CRAN
Permanent link

Package icesConnect updated to version 1.2.0 with previous version 1.1.4 dated 2025-04-30

Title: Provides User Tokens for Access to ICES Web Services
Description: Provides user tokens for ICES web services that require authentication and authorization. Web services covered by this package are ICES VMS database, the ICES DATSU web services, and the ICES SharePoint site <https://www.ices.dk/data/tools/Pages/WebServices.aspx>.
Author: Colin Millar [aut, cre]
Maintainer: Colin Millar <colin.millar@ices.dk>

Diff between icesConnect versions 1.1.4 dated 2025-04-30 and 1.2.0 dated 2026-10-20

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Permanent link

Package txshift updated to version 0.4.0 with previous version 0.3.8 dated 2022-02-09

Title: Efficient Estimation of the Causal Effects of Stochastic Interventions
Description: Efficient estimation of the population-level causal effects of stochastic interventions on a continuous-valued exposure. Both one-step and targeted minimum loss estimators are implemented for the counterfactual mean value of an outcome of interest under an additive modified treatment policy, a stochastic intervention that may depend on the natural value of the exposure. To accommodate settings with outcome-dependent two-phase sampling, procedures incorporating inverse probability of censoring weighting are provided to facilitate the construction of inefficient and efficient one-step and targeted minimum loss estimators. The causal parameter and its estimation were first described by Díaz and van der Laan (2013) <doi:10.1111/j.1541-0420.2011.01685.x>, while the multiply robust estimation procedure and its application to data from two-phase sampling designs is detailed in NS Hejazi, MJ van der Laan, HE Janes, PB Gilbert, and DC Benkeser (2020) <doi:10.1111/biom.13375>. The s [...truncated...]
Author: Nima Hejazi [aut, cre, cph] , David Benkeser [aut] , Ivan Diaz [ctb] , Jeremy Coyle [ctb] , Lauren Eyler Dang [ctb], Mark van der Laan [ctb, ths]
Maintainer: Nima Hejazi <nh@nimahejazi.org>

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Package rcrisp updated to version 1.0.0 with previous version 0.3.2 dated 2026-09-22

Title: Automate the Delineation of Urban River Spaces
Description: Provides tools to automate the morphological delineation of riverside urban areas based on a method introduced in Forgaci (2018) <doi:10.7480/abe.2018.31>. Delineation entails the identification of corridor boundaries, segmentation of the corridor, and delineation of the river space using two-dimensional spatial information from street network data and digital elevation data in a projected CRS. The resulting delineation can be used to characterise spatial phenomena that can be related to the river as a central element.
Author: Claudiu Forgaci [aut, cre, cph] , Francesco Nattino [aut] , Fakhereh Alidoost [ctb] , Meiert Willem Grootes [ctb] , Yehan Wu [ctb] , Netherlands eScience Center [fnd], Mark Padgham [rev] for rOpenSci, see <https://github.com/ropensci/software-review [...truncated...]
Maintainer: Claudiu Forgaci <c.forgaci@tudelft.nl>

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Package pecanr updated to version 0.4.0 with previous version 0.3.1 dated 2026-07-09

Title: Partial Eta-Squared for Crossed, Nested, and Mixed Linear Mixed Models
Description: Computes partial eta-squared effect sizes for fixed effects in linear mixed models fitted with the 'lme4' package. Supports crossed, nested, and mixed (crossed-and-nested) random effects structures with any number of grouping factors. Mixed designs handle cases where grouping factors are simultaneously crossed with some variables and nested within others (e.g., photos nested within models, but both crossed with participants). Factor predictors are supported directly. Random slope variances are translated to the outcome scale using a variance decomposition approach, correctly accounting for predictor scaling and interaction terms. Both general and operative effect sizes are provided, with optional parametric bootstrap confidence intervals. For correlated predictors, per-predictor effect sizes use unique (semipartial) variance by default. Methods are based on Correll, Mellinger, McClelland, and Judd (2020) <doi:10.1016/j.tics.2019.12.009>, Correll, Mellinger, and Pedersen (2022) &l [...truncated...]
Author: Brandon Cohen [aut, cre] , Joshua Correll [aut, ths]
Maintainer: Brandon Cohen <brandon.cohen-1@colorado.edu>

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New package qdfauction with initial version 0.1.0
Package: qdfauction
Title: Nonparametric Quantile Density Estimation and Structural Analysis of First-Price Auctions
Version: 0.1.0
Description: Nonparametric estimators of the quantile density function (the derivative of the quantile function): kernel, boundary-corrected kernel, Poisson-weight and Bernstein-polynomial smoothers, indirect estimators (Jones (1992) <https://www.ism.ac.jp/editsec/aism/pdf/044_4_0721.pdf>; Soni, Dewan and Jain (2012) <doi:10.1016/j.csda.2012.04.014>; Chaubey, Dewan and Li (2024) <doi:10.1080/03610926.2023.2222922>), and linear, hard-thresholded and block-thresholded wavelet estimators (Chesneau, Dewan and Doosti (2016) <doi:10.1016/j.csda.2015.08.006>; Shirazi and Doosti (2022) <doi:10.1080/03610918.2019.1656250>), with smoothing parameters chosen by biased, robust likelihood (Wu (2019) <doi:10.1080/07350015.2018.1424633>) or least-squares cross-validation. The estimators are applied to the structural analysis of first-price sealed-bid auctions: recovery of private values for independent or affiliated values and risk-neutral or risk-averse bidders (Doosti, Dewan [...truncated...]
License: GPL (>= 3)
URL: https://github.com/DoostiH/qdfauction
BugReports: https://github.com/DoostiH/qdfauction/issues
Encoding: UTF-8
Depends: R (>= 4.1)
Imports: stats, splines, utils, graphics, grDevices
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: no
Packaged: 2026-10-08 19:50:35 UTC; MQ20173444
Author: Hassan Doosti [aut, cre, cph] , Yogendra P. Chaubey [ctb, cph] , Isha Dewan [ctb, cph] , Jun Li [ctb, cph] , Brent R. Hickman [ctb, cph] ), Timothy P. Hubbard [ctb, cph] ), Brani Vidakovic [ctb, cph] , phi_jk, dwt_periodic, idwt_periodic and loclin_s [...truncated...]
Maintainer: Hassan Doosti <Hassan.doosti@mq.edu.au>
Repository: CRAN
Date/Publication: 2026-10-20 18:20:02 UTC

More information about qdfauction at CRAN
Permanent link

New package palettome with initial version 1.0.1
Package: palettome
Title: Hierarchy-Aware, Interactively Editable Color Palettes for Clusters
Version: 1.0.1
Description: Assigns perceptually-informed color palettes to clustered data (e.g. scRNA-seq clusters / cell subtypes from 'Seurat' or plain UMAP coordinate tables), where clusters that belong to the same "family" (e.g. subtypes of T cells) can be colored either harmoniously (shared hue, varying shade) or with maximal contrast (with family membership encoded via a secondary channel). Families can be auto-detected from embedding-space hierarchical clustering or supplied explicitly, and every generated color remains individually overridable, with manual overrides preserved across regeneration. Colors are constructed in the HCL space as in Zeileis et al. (2020) <doi:10.18637/jss.v096.i01>, separated using the CIEDE2000 color difference of Sharma, Wu and Dalal (2005) <doi:10.1002/col.20070>, and checked for color-vision deficiency using the simulation of Machado, Oliveira and Fernandes (2009) <doi:10.1109/TVCG.2009.113>. Core algorithms have no UI dependencies; an optional interactive [...truncated...]
License: Apache License (== 2.0)
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: colorspace, farver, stats, graphics, utils, jsonlite
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), ggplot2, Seurat, shiny, plotly, colourpicker, shinyjs, dendextend
VignetteBuilder: knitr
URL: https://github.com/thisishcb/Palettome
BugReports: https://github.com/thisishcb/Palettome/issues
NeedsCompilation: no
Packaged: 2026-10-08 21:39:07 UTC; nigel
Author: Chenbin Huang [aut, cre]
Maintainer: Chenbin Huang <chenbin.huang@emory.edu>
Repository: CRAN
Date/Publication: 2026-10-20 18:20:10 UTC

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New package genevintage with initial version 0.1.3
Package: genevintage
Title: Detect Annotation Releases and Repair Gene Names
Version: 0.1.3
Description: Detects the species and the 'Ensembl' <https://www.ensembl.org> or 'GENCODE' <https://www.gencodegenes.org> annotation release associated with a set of gene or transcript identifiers by scoring them against a bundled fingerprint of each release. Identifiers are then converted to gene names using the matching release. Gene symbols that spreadsheet software turned into dates or numbers ('SEPT9' to '9-Sep') are restored to the spelling of the chosen release. Also retrieves genes by class (mitochondrial, sex-linked, protein-coding, ribosomal, transfer RNA, long non-coding RNA), exon-union gene lengths, 'Entrez' cross-references, and orthologs in another species from 'Ensembl Compara'.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: stats, tools, utils
Suggests: curl, Matrix, knitr, methods, rmarkdown, spelling, testthat (>= 3.0.0), withr
URL: https://genevintage.saketlab.org/R/, https://github.com/saketlab/genevintage
BugReports: https://github.com/saketlab/genevintage/issues
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: no
Packaged: 2026-10-08 21:57:31 UTC; saket
Author: Saket Choudhary [aut, cre]
Maintainer: Saket Choudhary <saketc@iitb.ac.in>
Repository: CRAN
Date/Publication: 2026-10-20 18:20:16 UTC

More information about genevintage at CRAN
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New package ERA5Flux with initial version 1.0.0
Package: ERA5Flux
Title: Improve the Utility of ERA5-Land Data at AmeriFlux Site Locations
Version: 1.0.0
Description: Collection of tools useful for workflows involving ERA5-Land and AmeriFlux data. Includes functions for downloading ERA5-Land data based on AmeriFlux sites, formatting the downloaded data to match AmeriFlux standards, merging both datasets together to ensure consistent timestamps, and blending them to create a single gap-filled time series. For more details, visit the Climate Data Store's catalogue entry for ERA5-Land at <https://cds.climate.copernicus.eu/datasets/reanalysis-era5-land> and the AmeriFlux homepage at <https://ameriflux.lbl.gov>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: curl, dplyr, ecmwfr, lubridate, lutz, ncdf4, purrr, readr, readxl, stats, terra
Suggests: knitr, rmarkdown, sf
URL: https://github.com/Malone-Disturbance-Ecology-Lab/ERA5Flux, https://malone-disturbance-ecology-lab.github.io/ERA5Flux/
BugReports: https://github.com/Malone-Disturbance-Ecology-Lab/ERA5Flux/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-10-08 20:10:01 UTC; ac3656
Author: Angel Chen [aut, cre] , Sam Jurado [aut] , David E Reed [aut] , Ammara Talib [aut] , Junna Wang [aut] , Boya Zhang [aut] , Sparkle L Malone [aut] , National Science Foundation [fnd] , Yale School of the Environment [fnd], Yale Center for Natural Carb [...truncated...]
Maintainer: Angel Chen <angel777chen@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-20 18:10:02 UTC

More information about ERA5Flux at CRAN
Permanent link

Package DataSpaceR updated to version 1.0.3 with previous version 1.0.2 dated 2026-08-26

Title: Interface to 'the CAVD DataSpace'
Description: Provides a convenient API interface to access immunological data within 'the CAVD DataSpace'(<https://dataspace.cavd.org>), a data sharing and discovery tool that facilitates exploration of HIV immunological data from pre-clinical and clinical HIV vaccine studies.
Author: Ju Yeong Kim [aut], Sean Hughes [rev], Jason Taylor [aut, cre], Helen Miller [aut], Kellie MacPhee [rev], CAVD DataSpace [cph]
Maintainer: Jason Taylor <jmtaylor@fredhutch.org>

Diff between DataSpaceR versions 1.0.2 dated 2026-08-26 and 1.0.3 dated 2026-10-20

 DESCRIPTION                             |    7 +--
 MD5                                     |   66 +++++++++++++++----------------
 NEWS.md                                 |    6 ++
 R/DataSpaceConnection.R                 |    8 +--
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 R/DataSpaceDonors.R                     |    4 -
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 R/helpers.R                             |   37 ++++++++---------
 R/netrc.R                               |    7 ++-
 build/vignette.rds                      |binary
 inst/doc/DataSpaceR.Rmd                 |   45 ---------------------
 inst/doc/DataSpaceR.html                |   46 +--------------------
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 man/DataSpaceConnection.Rd              |    2 
 man/writeNetrc.Rd                       |    7 ++-
 tests/testthat/test-connection.R        |   22 ++++------
 tests/testthat/test-daash.R             |   11 +++++
 tests/testthat/test-mabs-donors.R       |   19 ++++++++
 vignettes/DataSpaceR.Rmd                |   45 ---------------------
 vignettes/DataSpaceR.Rmd.orig           |    2 
 vignettes/DataSpace_DAASH.Rmd           |    2 
 vignettes/Monoconal_Antibody_Data.Rmd   |    2 
 vignettes/Publication_Data.Rmd          |    2 
 vignettes/Studies_Groups.Rmd            |    2 
 vignettes/Virus_Name_Mapping_Tables.Rmd |    2 
 34 files changed, 203 insertions(+), 271 deletions(-)

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New package zstd with initial version 0.1.0
Package: zstd
Title: Zstandard Compression
Version: 0.1.0
Description: Compress and decompress data with the 'Zstandard' algorithm <https://facebook.github.io/zstd/>, a fast lossless compression format. Works on raw vectors in memory and on files, and can create and extract 'zstd' compressed 'tar' archives. Supports compression levels, multithreaded compression, long distance matching, content checksums, and training dictionaries for better compression of small, similar inputs.
License: MIT + file LICENSE
Copyright: This package includes code from the 'Zstandard' library owned by Meta Platforms, Inc. and affiliates. and created by Yann Collet, and code from the 'microtar' library created by rxi. See file 'inst/COPYRIGHTS' for details.
URL: https://github.com/r-lib/zstd
BugReports: https://github.com/r-lib/zstd/issues
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
NeedsCompilation: yes
Packaged: 2026-10-08 18:40:30 UTC; gaborcsardi
Author: Gabor Csardi [aut, cre], Posit Software, PBC [cph, fnd] , Yann Collet [aut] , Meta Platforms, Inc. and affiliates. [cph] , rxi [aut, cph]
Maintainer: Gabor Csardi <csardi.gabor@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-20 17:50:02 UTC

More information about zstd at CRAN
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Package shinyds updated to version 0.7.2 with previous version 0.6.0 dated 2026-09-24

Title: 'Shiny' Bindings for 'Designsystemet' Components
Description: Provides 'R' wrappers for the 'Designsystemet' component library <https://designsystemet.no>, enabling use of Norwegian government design system components in 'Shiny' applications. Includes web components and CSS-based HTML components with full 'Shiny' input binding support.
Author: Novica Nakov [aut, cre, cph]
Maintainer: Novica Nakov <nnovica@gmail.com>

Diff between shinyds versions 0.6.0 dated 2026-09-24 and 0.7.2 dated 2026-10-20

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 shinyds-0.7.2/shinyds/R/ds-breadcrumbs.R                       |   11 
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 shinyds-0.7.2/shinyds/R/ds-field.R                             |   26 
 shinyds-0.7.2/shinyds/R/ds-input.R                             |  252 ++-
 shinyds-0.7.2/shinyds/R/ds-list.R                              |   11 
 shinyds-0.7.2/shinyds/R/ds-misc.R                              |  254 ++-
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 shinyds-0.7.2/shinyds/R/ds-table.R                             |   13 
 shinyds-0.7.2/shinyds/R/ds-tabs.R                              |   60 
 shinyds-0.7.2/shinyds/R/ds-typography.R                        |   52 
 shinyds-0.7.2/shinyds/R/zzz.R                                  |   10 
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 shinyds-0.7.2/shinyds/inst/examples/faithful/app.R             |  123 +
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 shinyds-0.7.2/shinyds/tests/testthat/test-showcase-shinytest.R |   21 
 shinyds-0.7.2/shinyds/tests/testthat/test-showcase.R           |   33 
 shinyds-0.7.2/shinyds/tests/testthat/test-web-components.R     |    6 
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 43 files changed, 1398 insertions(+), 718 deletions(-)

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New package learnr2 with initial version 0.1.3
Package: learnr2
Title: Interactive Tutorials with 'Quarto' and 'WebR'
Version: 0.1.3
Description: Create interactive R tutorials that run entirely in the browser using 'Quarto' <https://quarto.org> and 'WebR' <https://docs.r-wasm.org/webr/latest/> via the 'quarto-live' extension. Provides 'learnr'-style authoring conveniences -- scaffolding, exercises, hints, solutions, and quizzes -- without 'Shiny', 'R Markdown', or a server.
License: MIT + file LICENSE
Copyright: See file inst/COPYRIGHTS for the bundled third-party components.
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: fs, htmltools, httpuv, jsonlite, knitr, quarto, rmarkdown
Suggests: learnr, pkgdown, pkgload, rstudioapi, testthat (>= 3.2.0), withr
VignetteBuilder: quarto
SystemRequirements: Quarto command line tool (https://github.com/quarto-dev/quarto-cli).
URL: https://github.com/PPBDS/learnr2, https://ppbds.github.io/learnr2/
BugReports: https://github.com/PPBDS/learnr2/issues
NeedsCompilation: no
Packaged: 2026-10-08 17:41:28 UTC; dkane
Author: David Kane [aut, cre, cph] , Minh Vu [aut]
Maintainer: David Kane <dave.kane@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-20 17:50:07 UTC

More information about learnr2 at CRAN
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New package lassoinf with initial version 0.1.0
Package: lassoinf
Title: Selective Inference for the Randomized Lasso
Version: 0.1.0
Description: Confidence intervals and p-values for parameters chosen by the (randomized) lasso, valid after selection. Implements the polyhedral approach of Lee, Sun, Sun and Taylor (2016) <doi:10.1214/15-AOS1371>, the randomized response of Tian and Taylor (2018) <doi:10.1214/17-AOS1564> and the exact randomized inference of Panigrahi, Fry and Taylor (2024) <doi:10.1093/biomet/asae019>, with the truncated bivariate normal computations of Liu (2023) <doi:10.48550/arXiv.2308.10346>. Includes inference for user-specified estimands, screening of inactive variables and problems fitted by 'glmnet'. Computations use a 'C++' backend with matrix-free linear operators for wide designs.
License: BSD_3_clause + file LICENSE
Copyright: See inst/COPYRIGHTS for the code adapted from Sifan Liu (MIT).
URL: https://github.com/jonathan-taylor/lassoinf
BugReports: https://github.com/jonathan-taylor/lassoinf/issues
Encoding: UTF-8
Depends: R (>= 3.5.0)
LinkingTo: Rcpp, RcppEigen
Imports: methods, mvtnorm, R6, Rcpp, stats
Suggests: glmnet (>= 5.1), knitr, rmarkdown, testthat
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-10-08 19:07:54 UTC; jonathantaylor
Author: Jonathan Taylor [aut, cre, cph], Kevin Fry [aut], Snigdha Panigrahi [aut], Sifan Liu [ctb, cph]
Maintainer: Jonathan Taylor <jtaylo@stanford.edu>
Repository: CRAN
Date/Publication: 2026-10-20 18:00:02 UTC

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New package hpsreg with initial version 1.0.0
Package: hpsreg
Title: Regression for Hierarchically Ordered Clinical Outcomes via Pairwise Comparisons (Bradley-Terry-Davidson Model)
Version: 1.0.0
Description: Provides regression for hierarchically ordered clinical outcomes via pairwise comparisons, using a covariate-adjusted Davidson (Bradley-Terry with ties) model with U-statistic sandwich standard errors. A hierarchy of outcomes (binary, ordinal, continuous, and time-to-event, with eligibility guards and tie margins) is defined; all pairs of subjects are scored lexicographically; and the resulting win / loss / tie data are analysed. Unadjusted win statistics (net benefit, win ratio, win odds), diagnostics, and a worked example based on outcomes after allogeneic stem cell transplant are also provided. The computational engine is written in 'C++' using 'Rcpp' and 'RcppEigen'.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: Rcpp (>= 1.0.0), stats, graphics
LinkingTo: Rcpp, RcppEigen
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), survival, gnm
VignetteBuilder: knitr
SystemRequirements: OpenMP (optional)
NeedsCompilation: yes
Packaged: 2026-10-08 18:24:04 UTC; raviv
Author: Ravi Varadhan [aut, cre]
Maintainer: Ravi Varadhan <ravi.varadhan@jhu.edu>
Repository: CRAN
Date/Publication: 2026-10-20 17:50:14 UTC

More information about hpsreg at CRAN
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New package climabr with initial version 0.1.0
Package: climabr
Title: Interface for Accessing Weather Data from Climatempo
Version: 0.1.0
Description: Provides functions for downloading meteorological data from the CLIMATEMPO (<https://www.climatempo.com.br/>) web platform through web scraping, designed for ecological and environmental analyses.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/jrz-s/climabr
BugReports: https://github.com/jrz-s/climabr/issues
Depends: R (>= 3.5)
Imports: dplyr, stringr, stringi, purrr, rvest, magrittr, rlang
LazyData: true
NeedsCompilation: no
Packaged: 2026-10-08 16:56:45 UTC; USER
Author: Jhonatan Rafael Zarate-Salazar [aut, cre] , Omar E. Benites-Alfaro [ctb] , Eduardo V. da Silva Oliveira [ctb] , Sidney F. Gouveia [ctb]
Maintainer: Jhonatan Rafael Zarate-Salazar <rzaratesalazar@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-20 17:40:02 UTC

More information about climabr at CRAN
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Package BFS updated to version 0.8.0 with previous version 0.7.2 dated 2026-07-03

Title: Get Data from the Swiss Federal Statistical Office
Description: Search and download data from the Swiss Federal Statistical Office (BFS) APIs <https://www.bfs.admin.ch/>.
Author: Felix Luginbuhl [aut, cre, cph] , Marius Hodel [ctb] , Janosch Brenzel-Weiss [ctb], Joao Martins [ctb], Philipp Baumann [ctb]
Maintainer: Felix Luginbuhl <felix.luginbuhl@protonmail.ch>

Diff between BFS versions 0.7.2 dated 2026-07-03 and 0.8.0 dated 2026-10-20

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Package puremoe updated to version 1.1.1 with previous version 1.1.0 dated 2026-06-24

Title: Integrated Retrieval and Analysis of 'PubMed', 'NIH', and 'NLM' Literature Data
Description: Retrieve and analyze biomedical literature from 'PubMed' and the wider 'NIH'/'NLM' data stack through a single, PMID-centered interface. A PubMed search resolves to a set of PMIDs, which can be used to retrieve article metadata and abstracts, author affiliations, 'iCite' citation data and links, 'PubTator3' entity and relation annotations, and open-access full text from 'PMC'. A local analysis layer operates on the retrieved tables, supporting corpus expansion through citation links, citation network construction, sentence-level entity co-occurrence, inspection of relation evidence, and 'MeSH' descriptor keyness.
Author: Jason Timm [aut, cre]
Maintainer: Jason Timm <JaTimm@salud.unm.edu>

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Package ParBayesianOptimization updated to version 1.4.2 with previous version 1.3.0 dated 2026-09-30

Title: Parallel Bayesian Optimization of Hyperparameters
Description: Fast, flexible framework for implementing Bayesian optimization of model hyperparameters according to the methods described in Snoek et al. (2012) <doi:10.48550/arXiv.1206.2944>. The package allows the user to run scoring function in parallel, save intermediary results, and tweak other aspects of the process to fully utilize the computing resources available to the user.
Author: Samuel Wilson [aut, cph], Novica Nakov [aut, cre, cph]
Maintainer: Novica Nakov <nnovica@gmail.com>

Diff between ParBayesianOptimization versions 1.3.0 dated 2026-09-30 and 1.4.2 dated 2026-10-20

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Package harrypotter updated to version 2.1.2 with previous version 2.1.1 dated 2020-03-05

Title: Palettes Generated from All "Harry Potter" Movies
Description: Implementation of characteristic palettes inspired by the Wizarding World and the Harry Potter movie franchise.
Author: Alejandro Jimenez Rico [aut, cre], Alfredo Hernandez [ctb]
Maintainer: Alejandro Jimenez Rico <aljrico@gmail.com>

Diff between harrypotter versions 2.1.1 dated 2020-03-05 and 2.1.2 dated 2026-10-20

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New package spectra2rgb with initial version 0.1.0
Package: spectra2rgb
Title: Convert Spectral Signatures to sRGB and CIELAB Colour Coordinates
Version: 0.1.0
Description: Converts hyperspectral reflectance signatures to device- independent sRGB hex codes and CIE L*a*b* coordinates using the CIE 1931 2-degree standard observer and the D65 standard illuminant. Includes bundled reference data so the package is self-contained. Handles missing and non-finite reflectance values via a configurable policy.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 4.0)
Imports: stats, grDevices, utils
Suggests: testthat (>= 3.0.0), readxl, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-10-08 13:48:37 UTC; jhohan.elguera
Author: Jhohan Elguera [aut, cre]
Maintainer: Jhohan Elguera <jelguerat@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-20 14:30:02 UTC

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New package solvency2 with initial version 0.5.1
Package: solvency2
Title: Offline Solvency II Calculations and Regulatory Parameters
Version: 0.5.1
Description: Native, offline components for insurance solvency calculations under Solvency II, including valuation, technical provisions, market and underwriting risks, capital aggregation, own funds, groups and archived reporting checks. Provides explicit dated rule profiles, regulatory parameters, correlation matrices, synthetic reference cases, local discount curve adapters and traceable analyst overrides. Implements components of Directive 2009/138/EC, European Parliament and Council (2009) <https://eur-lex.europa.eu/eli/dir/2009/138/oj>, and Delegated Regulation (EU) 2015/35, European Commission (2014) <https://eur-lex.europa.eu/eli/reg_del/2015/35/oj>. Users provide portfolio inputs, market observations and model results; no network connection or 'Python' runtime is required.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: jsonlite, digest, gmp, Rmpfr, xml2
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/rds0001/solvency2-r
BugReports: https://github.com/rds0001/solvency2-r/issues
NeedsCompilation: no
Packaged: 2026-10-08 05:59:39 UTC; qwert123
Author: Dimitrios Geromichalos [cre], RiskDataScience GmbH [aut, cph]
Maintainer: Dimitrios Geromichalos <riskdatascience@web.de>
Repository: CRAN
Date/Publication: 2026-10-20 14:10:02 UTC

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New package DistributionalDDA with initial version 0.1.1
Package: DistributionalDDA
Title: Distributional Data Analysis in Bayes Spaces
Version: 0.1.1
Maintainer: K. Gerald van den Boogaart <support@boogaart.de>
Description: Statistical analysis of data sets whose observations are whole probability distributions, using Bayes space calculus. Distributions (provided as samples, histograms or density functions) are treated as elements of a Hilbert space, so that operations such as mean, variance, distance, principal component analysis and clustering carry over to densities. Reference measures defining the geometry of the space can be chosen and combined. The methodology was first published with peer review by van den Boogaart, Egozcue and Pawlowsky-Glahn (2014) <doi:10.1111/anzs.12074>.
License: LGPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1), compositions, splines
Imports: fda, methods, graphics, stats, utils, rlang, digest, MASS, Matrix, grDevices
Suggests: knitr, igraph, ggraph, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2026-10-08 14:59:46 UTC; tolosa53
Author: Ivana Pavlu [aut] , Raimon Tolosana-Delgado [aut] , Matthias Templ [aut] , K. Gerald van den Boogaart [aut, cre]
Repository: CRAN
Date/Publication: 2026-10-20 15:10:02 UTC

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Package baseverse updated to version 0.1.5 with previous version 0.1.4 dated 2026-04-28

Title: Modern Base-R Functions
Description: Includes modern base-R functions. Functions beginning with p_ are wrapper functions for existing base-R functions, supporting native piping. Other functions are wrapper functions for core base-R features, including bracket notation and dollar-sign notation. base_match() and base_when() mimic case_match() and case_when() from 'dplyr' but return a factor by default with levels ordered according to user input. et() mimics count() from 'dplyr'.
Author: Yea-Hung Chen [aut, cre]
Maintainer: Yea-Hung Chen <yea-hung.chen@ucsf.edu>

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Package actimetrics updated to version 0.9.0 with previous version 0.4.0 dated 2026-09-17

Title: Create Metrics Actigraphy and Activity Analysis
Description: Provides functions for calibrating, counting, and summarizing actigraphy and activity data into specific metrics and sleep measures. The metrics include activity counts, step counts, activity index, Monitor Independent Movement Summary Unit (MIMS), mean amplitude deviation (MAD), and provides wrappers for sleep estimation from activity counts using Tudor-Locke (2014) <doi:10.1139/apnm-2013-0173> and Sadeh (1994) <doi:10.1093/sleep/17.3.201>.
Author: John Muschelli [aut, cre]
Maintainer: John Muschelli <muschellij2@gmail.com>

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New package hestia with initial version 0.1.0
Package: hestia
Title: Bayesian Compartmental Infection Models from Individual Outcomes
Version: 0.1.0
Description: Fit Bayesian compartmental infection models (such as susceptible-infected-recovered and multi-compartment hidden Markov variants) from individual-level outcome data. Models are composed from infection-process and observation-process components and fit using Stan via 'rstan'.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Biarch: true
Depends: R (>= 4.1.0)
Imports: checkmate, dplyr, flexstanr (>= 0.2.0), methods, posterior, Rcpp (>= 0.12.0), RcppParallel (>= 5.0.1), rstan (>= 2.18.1), rstantools (>= 2.5.0), stats, tidyr
LinkingTo: BH (>= 1.66.0), Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.3.0), RcppParallel (>= 5.0.1), rstan (>= 2.18.1), StanHeaders (>= 2.18.0)
SystemRequirements: GNU make
Suggests: bayesplot, ggplot2, knitr, lintr, patchwork, pkgload, rmarkdown, roxygen2, roxyglobals, spelling, testthat (>= 3.0.0), withr
VignetteBuilder: knitr
URL: https://accidda.github.io/hestia/, https://github.com/ACCIDDA/hestia
BugReports: https://github.com/ACCIDDA/hestia/issues
LazyData: true
LazyDataCompression: xz
NeedsCompilation: yes
Packaged: 2026-10-08 15:02:04 UTC; runner
Author: Claire Perrin Smith [aut, cre] , Jack Goodall [aut]
Maintainer: Claire Perrin Smith <clairesmith6995@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-20 15:00:02 UTC

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New package ggmGraphEditor with initial version 0.1.0
Package: ggmGraphEditor
Title: Interactive Graph Layout Editor for Mixed Graphs
Version: 0.1.0
Depends: R (>= 3.6.0)
Imports: methods, visNetwork, shiny, igraph
Suggests: ggm (>= 2.5.5), graph, testthat (>= 3.0.0)
Description: Provides an interactive interface to plot and layout mixed graphs based on the adjacency matrix defined in Sadeghi and Marchetti (2012) <doi:10.32614/RJ-2012-015>. Uses 'shiny' and 'visNetwork' to allow dynamic node repositioning and coordinate extraction.
License: GPL-2
Encoding: UTF-8
URL: https://github.com/StaThin/ggmGraphEditor
BugReports: https://github.com/StaThin/ggmGraphEditor/issues
NeedsCompilation: no
Packaged: 2026-10-08 12:48:35 UTC; gmm
Author: Giovanni M. Marchetti [aut, cre] , Kayvan Sadeghi [aut]
Maintainer: Giovanni M. Marchetti <giovanni.marchetti@unifi.it>
Repository: CRAN
Date/Publication: 2026-10-20 14:20:02 UTC

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Package crownsegmentr updated to version 1.1.3 with previous version 1.1.1 dated 2026-09-22

Title: Tree Crown Segmentation in Airborne LiDAR Point Clouds
Description: Provides a function that performs the adaptive mean shift algorithm for individual tree crown delineation in 3D point clouds as proposed by Ferraz et al. (2016) <doi:10.1016/j.rse.2016.05.028>, as well as supporting functions.
Author: Leon Steinmeier [aut] , Timon Miesner [cre, aut] , Nikolai Knapp [aut]
Maintainer: Timon Miesner <timon.miesner@thuenen.de>

Diff between crownsegmentr versions 1.1.1 dated 2026-09-22 and 1.1.3 dated 2026-10-20

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Package choicedata updated to version 0.2.1 with previous version 0.2.0 dated 2026-09-15

Title: Working with Choice Data
Description: Offers a set of objects tailored to simplify working with choice data. It enables the computation of choice probabilities and the likelihood of various types of choice models based on given data.
Author: Lennart Oelschlaeger [aut, cre]
Maintainer: Lennart Oelschlaeger <oelschlaeger.lennart@gmail.com>

Diff between choicedata versions 0.2.0 dated 2026-09-15 and 0.2.1 dated 2026-10-20

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Package cgam updated to version 1.33 with previous version 1.32 dated 2026-03-05

Title: Constrained Generalized Additive Model
Description: A constrained generalized additive model is fitted by the cgam routine. Given a set of predictors, each of which may have a shape or order restrictions, the maximum likelihood estimator for the constrained generalized additive model is found using an iteratively re-weighted cone projection algorithm. The ShapeSelect routine chooses a subset of predictor variables and describes the component relationships with the response. For each predictor, the user needs only specify a set of possible shape or order restrictions. A model selection method chooses the shapes and orderings of the relationships as well as the variables. The cone information criterion (CIC) is used to select the best combination of variables and shapes. A genetic algorithm may be used when the set of possible models is large. In addition, the cgam routine implements a two-dimensional isotonic regression using warped-plane splines without additivity assumptions. It can also fit a convex or concave regression surface with [...truncated...]
Author: Mary Meyer [aut], Xiyue Liao [aut, cre]
Maintainer: Xiyue Liao <xliao@sdsu.edu>

Diff between cgam versions 1.32 dated 2026-03-05 and 1.33 dated 2026-10-20

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Package bspline updated to version 2.6.0 with previous version 2.5.1 dated 2026-01-27

Title: B-Spline Interpolation and Regression
Description: Build and use B-splines for interpolation and regression. In case of regression, equality constraints as well as monotonicity and/or positivity of B-spline weights can be imposed. Moreover, knot positions can be on regular grid or be part of optimized parameters too (in addition to the spline weights). For this end, 'bspline' is able to calculate Jacobian of basis vectors as function of knot positions. User is provided with functions calculating spline values at arbitrary points. These functions can be differentiated and integrated to obtain B-splines calculating derivatives/integrals at any point. B-splines of this package can simultaneously operate on a series of curves sharing the same set of knots. 'bspline' is written with concern about computing performance that's why the basis and Jacobian calculation is implemented in C++. The rest is implemented in R but without notable impact on computing speed.
Author: Serguei Sokol [aut, cre]
Maintainer: Serguei Sokol <sokol@insa-toulouse.fr>

Diff between bspline versions 2.5.1 dated 2026-01-27 and 2.6.0 dated 2026-10-20

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Package writeLog updated to version 0.1.1 with previous version 0.1.0 dated 2026-10-15

Title: Write Printed Output of R Objects to Log Files
Description: Provides writeLog(), a small helper that writes the printed output of a named list of R objects to a text file in a log directory, one element after another, each preceded by its list name as a heading. Supports versioned file names and appending to an existing log file.
Author: Jeff Wu [aut, cre]
Maintainer: Jeff Wu <zifan.jeffwu@gmail.com>

Diff between writeLog versions 0.1.0 dated 2026-10-15 and 0.1.1 dated 2026-10-20

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Package RuHere updated to version 1.1.1 with previous version 1.1.0 dated 2026-08-27

Title: Flags Spatial Errors in Biological Collection Data Using Specialists' Information
Description: Automatically flags common spatial errors in biological collection data using metadata and specialists' information. RuHere implements a workflow to manage occurrence data through six steps: dataset merging, metadata flagging, validation against expert-derived distribution maps, visualization of flagged records, and sampling bias exploration. It specifically integrates specialist-curated range information to identify geographic errors and introductions that often escape standard automated validation procedures. For details on the methodology, see: Trindade & Caron (2026) <doi:10.64898/2026.02.02.703373>.
Author: Weverton C. F. Trindade [aut, cre] , Fernanda S. Caron [aut]
Maintainer: Weverton C. F. Trindade <wevertonf1993@gmail.com>

Diff between RuHere versions 1.1.0 dated 2026-08-27 and 1.1.1 dated 2026-10-20

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Package rmet updated to version 0.3.0 with previous version 0.2.0 dated 2026-09-21

Title: Download and Read Brazilian Meteorological Data from INMET
Description: Automates the download and processing of historical hourly weather data from automatic stations of the Brazilian National Institute of Meteorology (INMET). It provides the official station catalogue with an offline snapshot and nearest-station search, validated and resumable downloads that detect updated archives, and a fast parser for the formatting and encoding inconsistencies of raw CSV files across years. It returns analysis-ready data frames with standardized column names and UTC timestamps. It flags implausible values with transparent quality-control checks, reports data completeness, and builds daily summaries in each station's local time with explicit rules for incomplete days. Data are retrieved from <https://portal.inmet.gov.br/dadoshistoricos> and <https://apitempo.inmet.gov.br/estacoes/T>.
Author: Rodrigo Fonseca Villa [aut, cre]
Maintainer: Rodrigo Fonseca Villa <rodrigo03.villa@gmail.com>

Diff between rmet versions 0.2.0 dated 2026-09-21 and 0.3.0 dated 2026-10-20

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Package rinet updated to version 0.2.0 with previous version 0.1.1 dated 2026-02-23

Title: Clinical Reference Interval Estimation with Reference Interval Network (RINet)
Description: Predicts statistics of a reference distribution from a mixture of raw clinical measurements (healthy and pathological). Uses pretrained CNN models to estimate the mean, standard deviation, and reference fraction from 1D or 2D sample data. Methods are described in LeBien, Velev, and Roche-Lima (2026) "RINet: synthetic data training for indirect estimation of clinical reference distributions" <doi:10.1016/j.jbi.2026.104980>.
Author: Jack LeBien [aut, cre]
Maintainer: Jack LeBien <jlebien@abartyshealth.com>

Diff between rinet versions 0.1.1 dated 2026-02-23 and 0.2.0 dated 2026-10-20

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New package regsensitivity with initial version 0.2.0
Package: regsensitivity
Title: Regression Sensitivity Analysis for Omitted Variable Bias
Version: 0.2.0
Description: Sensitivity analysis for linear regression coefficients in the presence of omitted variables. Implements the identified-set and breakdown-point analyses of Diegert, Masten and Poirier (2026) <doi:10.48550/arXiv.2206.02303>, Oster (2019) <doi:10.1080/07350015.2016.1227711> and Masten and Poirier (2026) <doi:10.1257/aer.20230242>. Provides bounds on regression coefficients under relaxations of the no-omitted-variables assumption indexed by interpretable sensitivity parameters, the breakdown point of a hypothesis about the long-regression coefficient, and plotting helpers.
License: MIT + file LICENSE
URL: https://github.com/mikenguyen13/regsensitivity, https://mikenguyen13.github.io/regsensitivity/
BugReports: https://github.com/mikenguyen13/regsensitivity/issues
Encoding: UTF-8
Language: en-US
LazyData: true
Depends: R (>= 4.1)
Imports: stats, grid, parallel, nloptr (>= 2.0.0), ggplot2 (>= 3.5.0), rlang (>= 1.0.0)
Suggests: generics, shiny, haven (>= 2.5.0), AER, sensemakr, testthat (>= 3.0.0), knitr (>= 1.40), rmarkdown (>= 2.20), pdftools, covr, pkgdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-10-07 17:32:43 UTC; mikenguyen
Author: Mike Nguyen [aut, cre, cph]
Maintainer: Mike Nguyen <nguyennghia1301@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-20 13:50:02 UTC

More information about regsensitivity at CRAN
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Package OmopViewer readmission to version 0.8.0 with previous version 0.7.0 dated 2026-02-09

Title: Visualise OMOP Results using 'shiny' Applications
Description: Visualise results obtained from analysing data mapped to the Observational Medical Outcomes Partnership (OMOP) common data model using 'shiny' applications.
Author: Marti Catala [aut, cre] , Yuchen Guo [aut] , Edward Burn [ctb] , Nuria Mercade-Besora [ctb] , Elin Rowlands [ctb] , Cecilia Campanile [ctb]
Maintainer: Marti Catala <marti.catalasabate@ndorms.ox.ac.uk>

This is a re-admission after prior archival of version 0.7.0 dated 2026-02-09

Diff between OmopViewer versions 0.7.0 dated 2026-02-09 and 0.8.0 dated 2026-10-20

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More information about OmopViewer at CRAN
Permanent link

Package integrity updated to version 1.0.3 with previous version 1.0.2 dated 2026-10-19

Title: Assessing the Integrity and Trustworthiness of Clinical Trials Data
Description: The integrity package implements the IPD Integrity Tool, a structured and transparent framework for evaluating the integrity of individual participant data (IPD) from randomised trials (see Hunter et al. (2024) <doi:10.1002/jrsm.1738> and <doi:10.1002/jrsm.1739>). It supports users to identify potential issues, such as unusual data patterns, implausible values, lack of expected correlations, date violations, and inconsistencies. The package provides reproducible workflows for screening, documenting and summarising integrity concerns, and may be applied by evidence synthesists, editors, and others to determine whether a randomised trial may be considered sufficiently trustworthy to contribute to the evidence base that informs policy and practice.
Author: Sol Libesman [aut, cre], David Nguyen [aut], Dario Strbenac [aut], Jie Kang [aut], Anna Lene Seidler [aut], Kylie Hunter [aut]
Maintainer: Sol Libesman <sol.libesman@sydney.edu.au>

Diff between integrity versions 1.0.2 dated 2026-10-19 and 1.0.3 dated 2026-10-20

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More information about integrity at CRAN
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Package ineAtlas readmission to version 0.2.1 with previous version 0.1.4 dated 2025-09-11

Title: Access to Spanish Household Income Distribution Atlas Data
Description: Provides access to granular socioeconomic indicators from the Spanish Statistical Office (INE) Household Income Distribution Atlas. The package downloads and processes data from a companion 'GitHub' repository (<https://github.com/pablogguz/ineAtlas.data/>) which contains processed versions of the official INE Atlas data. Functions are provided to fetch data at multiple geographic levels (municipalities, districts, and census tracts), including income indicators, demographic characteristics, and inequality metrics. The data repository is updated every year when new releases are published by INE.
Author: Pablo Garcia Guzman [aut, cre, cph]
Maintainer: Pablo Garcia Guzman <garciagp@ebrd.com>

This is a re-admission after prior archival of version 0.1.4 dated 2025-09-11

Diff between ineAtlas versions 0.1.4 dated 2025-09-11 and 0.2.1 dated 2026-10-20

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Package gtregression updated to version 1.2.0 with previous version 1.1.0 dated 2026-08-21

Title: Tools for Creating Publication-Ready Regression Tables
Description: Simplifies regression modelling in R by integrating modelling, diagnostics, visualisation, and summary tools into a cohesive, user-friendly interface. Designed to be accessible for researchers, particularly those in Low- and Middle-Income Countries (LMIC). Supports logistic, linear, count, matched case-control, ordinal, multinomial, multilevel, Cox, parametric survival, and competing-risk regression, and absolute risk differences with the number needed to treat. Built upon widely accepted statistical methods, including logistic regression (Hosmer et al. 2013, ISBN:9781118548429), log-binomial regression (Spiegelman and Hertzmark 2005 <doi:10.1093/aje/kwi188>), Firth penalized logistic regression (Firth 1993 <doi:10.1093/biomet/80.1.27>), Poisson and robust Poisson regression (Zou 2004 <doi:10.1093/aje/kwh090>), negative binomial regression (Hilbe 2011, ISBN:9780521179515), Cox proportional hazards regression, parametric survival regression, causal mediation analysis, [...truncated...]
Author: Rubeshkumar Polani [aut, cre] , Salin K Eliyas [aut] , Manikandanesan Sakthivel [aut] , Mogan Kaviprawin [aut] , Yuvaraj Krishnamoorthy [aut] , Marie Gilbert Majella [aut]
Maintainer: Rubeshkumar Polani <rubesh@thinkdenominator.com>

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Package greybox updated to version 2.0.11 with previous version 2.0.9 dated 2026-10-02

Title: Toolbox for Model Building and Forecasting
Description: Implements functions and instruments for regression model building and its application to forecasting. The main scope of the package is in variables selection and models specification for cases of time series data. This includes promotional modelling, selection between different dynamic regressions with non-standard distributions of errors, selection based on cross validation, solutions to the fat regression model problem and more. Models developed in the package are tailored specifically for forecasting purposes. So as a results there are several methods that allow producing forecasts from these models and visualising them.
Author: Ivan Svetunkov [aut, cre] , Yves R. Sagaert [ctb]
Maintainer: Ivan Svetunkov <ivan@svetunkov.com>

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Package funIHC updated to version 0.1.1 with previous version 0.1.0 dated 2026-01-09

Title: Functional Iterative Hierarchical Clustering
Description: Functional clustering aims to group curves exhibiting similar temporal behaviour and to obtain representative curves summarising the typical dynamics within each cluster. A key challenge in this setting is class imbalance, where some clusters contain substantially more curves than others, which can adversely affect clustering performance. While class imbalance has been extensively studied in supervised classification, it has received comparatively little attention in unsupervised clustering. This package implements functional iterative hierarchical clustering ('funIHC'), an adaptation of the iterative hierarchical clustering method originally developed for multivariate data, to the functional data setting. For further details, please see Higgins and Carey (2024) <doi:10.1007/s11634-024-00611-8>.
Author: Catherine Higgins [aut, cre], Michelle Carey [aut]
Maintainer: Catherine Higgins <catherine.higgins@mu.ie>

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Package freesurferformats updated to version 1.1.2 with previous version 1.1.0 dated 2026-09-24

Title: Read and Write 'FreeSurfer' Neuroimaging File Formats
Description: Provides functions to read and write neuroimaging data in various file formats, with a focus on 'FreeSurfer' formats. This includes, but is not limited to, the following file formats: 1) MGH/MGZ/NIFTI format files, which can contain multi-dimensional images or other data. Typically they contain time-series of three-dimensional brain scans acquired by magnetic resonance imaging (MRI). They can also contain vertex-wise measures of surface morphometry data. The MGH format is named after the Massachusetts General Hospital, and the MGZ format is a compressed version of the same format. 2) 'FreeSurfer' morphometry data files in binary 'curv' format. These contain vertex-wise surface measures, i.e., one scalar value for each vertex of a brain surface mesh. These are typically values like the cortical thickness or brain surface area at each vertex. 3) Annotation file format. This contains a brain surface parcellation derived from a cortical atlas. 4) Surface file format. Contains a brain surfa [...truncated...]
Author: Tim Schaefer [aut, cre] , Van Essen Lab [cph] .), Montreal Neurological Institute [cph] .)
Maintainer: Tim Schaefer <ts+code@rcmd.org>

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Package WpProj updated to version 0.3.1 with previous version 0.3 dated 2026-10-06

Title: Linear p-Wasserstein Projections
Description: Performs Wasserstein projections from the predictive distributions of any model into the space of predictive distributions of linear models. We utilize L1 penalties to also reduce the complexity of the model space. This package employs the methods as described in Dunipace, Eric and Lorenzo Trippa (2020) <doi:10.48550/arXiv.2012.09999>.
Author: Eric Dunipace [aut, cre] , Clemens Schmid [ctb] , Espen Bernton [ctb] , Mathieu Gerber [ctb] , Pierre Jacob [ctb] , Bin Dai [ctb] , Jared Huling [ctb] , Yixuan Qiu [ctb] , Dominic Schuhmacher [ctb] , Nicolas Bonneel [ctb]
Maintainer: Eric Dunipace <edunipace@post.harvard.edu>

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Package picreg updated to version 0.2.0 with previous version 0.1.4 dated 2026-07-20

Title: Variable Selection using the Pivotal Information Criterion
Description: Sparse regression and classification via the Pivotal Information Criterion (PIC), an alternative to the Bayesian Information Criterion (BIC), cross-validation, and Lasso-based tuning. The regularization parameter is selected from a pivotal null-distribution statistic, eliminating the need for cross-validation and yielding sharper support recovery. Provides Fast Iterative Shrinkage-Thresholding Algorithm (FISTA) optimization for the L1, Smoothly Clipped Absolute Deviation (SCAD), and Minimax Concave Penalty (MCP) penalties across six response distributions: Gaussian, binomial, Poisson, exponential, Gumbel, and Cox. Under standard sparsity assumptions, the selector achieves a phase transition for exact support recovery, analogous to results in compressed sensing. See Sardy, van Cutsem and van de Geer (2026) <doi:10.48550/arXiv.2603.04172>.
Author: Maxime van Cutsem [aut, cre], Sylvain Sardy [aut]
Maintainer: Maxime van Cutsem <maxime.vancutsem@unige.ch>

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Package glmmSeq updated to version 0.5.8 with previous version 0.5.7 dated 2025-10-02

Title: General Linear Mixed Models for Gene-Level Differential Expression
Description: Using mixed effects models to analyse longitudinal gene expression can highlight differences between sample groups over time. The most widely used differential gene expression tools are unable to fit linear mixed effect models, and are less optimal for analysing longitudinal data. This package provides negative binomial and Gaussian mixed effects models to fit gene expression and other biological data across repeated samples. This is particularly useful for investigating changes in RNA-Sequencing gene expression between groups of individuals over time, as described in: Rivellese, F., Surace, A. E., Goldmann, K., Sciacca, E., Cubuk, C., Giorli, G., ... Lewis, M. J., & Pitzalis, C. (2022) Nature medicine <doi:10.1038/s41591-022-01789-0>.
Author: Myles Lewis [aut, cre] , Katriona Goldmann [aut] , Elisabetta Sciacca [aut] , Cankut Cubuk [ctb] , Anna Surace [ctb] , David Rios Santini [ctb]
Maintainer: Myles Lewis <myles.lewis@qmul.ac.uk>

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Package fastPLS updated to version 0.4 with previous version 0.3 dated 2026-09-28

Title: Fast Partial Least Squares for High-Dimensional Data
Description: Fast implementations of partial least squares models for high-dimensional regression and classification. The 'fastPLS' software provides compiled implementations of PLS-SVD, a SIMPLS-family estimator, OPLS and kernel PLS, together with truncated singular value decomposition backends, discriminant classifiers, cross-validation utilities and optional 'CUDA' or Apple 'Metal' acceleration when the required system libraries are available. Compact latent prediction and memory-aware numerical routes support analyses with large predictor or multivariate-response matrices.
Author: Stefano Cacciatore [aut, cre] , Dupe Ojo [aut] , Leonardo Tenori [aut] , Alessia Vignoli [aut]
Maintainer: Stefano Cacciatore <tkcaccia@gmail.com>

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Package NMOF updated to version 2.12-0 with previous version 2.11-0 dated 2025-10-20

Title: Numerical Methods and Optimization in Finance
Description: Functions, examples and data from the first and the second edition of "Numerical Methods and Optimization in Finance" by M. Gilli, D. Maringer and E. Schumann (2019, ISBN:978-0128150658). The package provides implementations of optimisation heuristics (Differential Evolution, Genetic Algorithms, Particle Swarm Optimisation, Simulated Annealing and Threshold Accepting), and other optimisation tools, such as grid search and greedy search. There are also functions for the valuation of financial instruments such as bonds and options, for portfolio selection and functions that help with stochastic simulations.
Author: Enrico Schumann [aut, cre]
Maintainer: Enrico Schumann <es@enricoschumann.net>

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Package mcplite updated to version 0.2.0 with previous version 0.1.0 dated 2026-08-03

Title: Lightweight Stdio MCP Server for R
Description: Provides a lightweight Model Context Protocol (MCP) server for exposing 'R' functions as tools over standard input and output ('stdio'). Designed for local, client-launched integrations, with protocol-aware tool definitions and results, JSON Schema helpers, and optional interoperability with 'ellmer'.
Author: Juha Itkonen [aut, cre, cph]
Maintainer: Juha Itkonen <juha@tosidata.com>

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Package inedemogR updated to version 0.2.1 with previous version 0.2.0 dated 2026-10-05

Title: Tidy Access to Spanish INE Demographic Data
Description: Provides tidy, harmonized access to demographic data from the Spanish National Statistics Institute (INE) fenomenos demograficos domain, including population, births, and deaths, retrieved live via the official 'ineapir' API wrapper, with optional spatial integration at municipality and province level via 'mapSpain'. Mortality indicators follow the Human Mortality Database Methods Protocol, including the average age at death in infancy method of Andreev and Kingkade (2015) <doi:10.4054/DemRes.2015.33.13>.
Author: J. R. Caro-Barrera [aut, cre, cph]
Maintainer: J. R. Caro-Barrera <jrcaro@uco.es>

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Package capesR updated to version 0.2.1 with previous version 0.2.0 dated 2026-09-20

Title: Access to CAPES Data
Description: Provides simplified access to the data from the Catalog of Theses and Dissertations of the Brazilian Coordination for the Improvement of Higher Education Personnel (CAPES, <https://catalogodeteses.capes.gov.br>) for the years 1987 through 2024. The dataset includes variables such as Higher Education Institution (institution), Area of Concentration (area), Graduate Program Name (program_name), Type of Work (type), Language of Work (language), Author Identification (author), Abstract (abstract), Advisor Identification (advisor), Development Region (region), State (state).
Author: Andre Leite [aut, cre] , Hugo Vasconcelos Medeiros [aut] , Dalson Figueiredo Filho [aut]
Maintainer: Andre Leite <leite@castlab.org>

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Package TruncExpFam updated to version 1.2.2 with previous version 1.2.1 dated 2025-04-10

Title: Truncated Exponential Family
Description: Handles truncated members from the exponential family of probability distributions. Contains functions such as rtruncnorm() and dtruncpois(), which are truncated versions of rnorm() and dpois() from the stats package that also offer richer output containing, for example, the distribution parameters. It also provides functions to retrieve the original distribution parameters from a truncated sample by maximum-likelihood estimation.
Author: Rene Holst [aut], Waldir Leoncio [cre, aut]
Maintainer: Waldir Leoncio <w.l.netto@medisin.uio.no>

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Package sstvars updated to version 1.2.6 with previous version 1.2.5 dated 2026-08-04

Title: Toolkit for Reduced Form and Structural Smooth Transition Vector Autoregressive Models
Description: Penalized and non-penalized maximum likelihood estimation of smooth transition vector autoregressive models with various types of transition weight functions, conditional distributions, and identification methods. Constrained estimation with various types of constraints is available. Residual based model diagnostics, forecasting, simulations, counterfactual analysis, and computation of impulse response functions, generalized impulse response functions, generalized forecast error variance decompositions, as well as historical decompositions. See Heather Anderson, Farshid Vahid (1998) <doi:10.1016/S0304-4076(97)00076-6>, Helmut Lütkepohl, Aleksei Netšunajev (2017) <doi:10.1016/j.jedc.2017.09.001>, Markku Lanne, Savi Virolainen (2025) <doi:10.1016/j.jedc.2025.105162>, Savi Virolainen (2026) <doi:10.1080/07474938.2026.2673986>.
Author: Savi Virolainen [aut, cre]
Maintainer: Savi Virolainen <savi.virolainen@gmail.com>

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Package Rduckhts updated to version 2.0.0.0.1.9 with previous version 1.5.2-0.1.5 dated 2026-09-16

Title: 'DuckDB' High Throughput Sequencing File Formats Reader Extension
Description: Bundles the 'duckhts' 'DuckDB' extension for reading High Throughput Sequencing file formats with 'DuckDB'. The 'DuckDB' C extension API <https://duckdb.org/docs/stable/clients/c/api> and its 'htslib' dependency are compiled from vendored sources during package installation. James K Bonfield and co-authors (2021) <doi:10.1093/gigascience/giab007>. VariantKey / RegionKey support follows Nicola Asuni (2018) <doi:10.1101/473744>.
Author: Sounkou Mahamane Toure [aut, cre], Ryan Ward [aut] , Nurture Bio [cph] , James K Bonfield, John Marshall,Petr Danecek ,Heng Li , Valeriu Ohan, Andrew Whitwham,Thomas Keane , Robert M Davies [ctb] , DuckHTS Contributors [cph] ), RBCFTools Authors [cph [...truncated...]
Maintainer: Sounkou Mahamane Toure <sounkoutoure@gmail.com>

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Package BsplineQuantRegGui updated to version 0.2.3 with previous version 0.2.2 dated 2026-09-01

Title: Interactive 'Shiny' Interface for 'BsplineQuantReg'
Description: A user-friendly interactive Shiny interface for the 'BsplineQuantReg' package, enabling quantile regression using B-splines with shape constraints, based on the method described in Abbes (2025). Almost all parameters of the main function 'quantile_spline()' can be tuned. Features include interactive knot placement, per-region constraint specification, 'CSV' data import, direct demo access, reproducible R code generation, and solver selection. From version 0.2.2 it handles knots multiplicity, Bspline basis visualisation, mean-square regression, pp form visualisation under human readable form, in local or canonical bases, The version 0.2.3 allows regression with spline of any degree, with constraints implemented for degrees 0 to 5. The GUI provides two modes, basic (compatible with 'BsplineQuantReg' >= 0.2.2) and advanced (requires 'BsplineQuantReg' >= 0.2.6 for stable multiplicity features). This GUI is an R (improved) version of the 'Python Tk' version of 'BsplineQuantRegPy'.
Author: Alexandre Abbes [aut, cre]
Maintainer: Alexandre Abbes <alexandre.abbes@proton.me>

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Package nflplotR updated to version 1.7.1 with previous version 1.7.0 dated 2026-09-18

Title: NFL Logo Plots in 'ggplot2' and 'gt'
Description: A set of functions to visualize National Football League analysis in 'ggplot2' plots and 'gt' tables.
Author: Sebastian Carl [aut, cre]
Maintainer: Sebastian Carl <mrcaseb@gmail.com>

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Package microeco updated to version 2.4.1 with previous version 2.4.0 dated 2026-09-24

Title: Microbial Community Ecology Data Analysis
Description: A series of data analysis approaches for microbiome data based on the R6 class. The classes are designed for data preprocessing, niche analysis, taxonomic abundance plot, alpha diversity analysis, beta diversity analysis, differential abundance test, null model analysis, network analysis, machine learning, environmental data analysis, functional redundancy analysis, metabolites analysis, etc.
Author: Chi Liu [aut, cre], Felipe R. P. Mansoldo [ctb], Minjie Yao [ctb], Xiangzhen Li [ctb]
Maintainer: Chi Liu <liuchi0426@126.com>

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Package DrugExposureDiagnostics updated to version 1.2.1 with previous version 1.2.0 dated 2026-09-28

Title: Diagnostics for OMOP Common Data Model Drug Records
Description: Ingredient specific diagnostics for drug exposure records in the Observational Medical Outcomes Partnership (OMOP) common data model.
Author: Ger Inberg [aut, cre] , Edward Burn [aut] , Theresa Burkard [aut] , Yuchen Guo [ctb] , Marti Catala [ctb] , Mike Du [ctb] , Xintong Li [ctb] , Ross Williams [ctb] , Erasmus MC [cph]
Maintainer: Ger Inberg <g.inberg@erasmusmc.nl>

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Package oeli updated to version 0.7.9 with previous version 0.7.8 dated 2026-09-14

Title: Some Utilities for Developing Data Science Software
Description: A collection of general-purpose helper functions that I (and maybe others) find useful when developing data science software. Includes tools for simulation, data transformation, input validation, and more.
Author: Lennart Oelschlaeger [aut, cre]
Maintainer: Lennart Oelschlaeger <oelschlaeger.lennart@gmail.com>

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Package TKCat updated to version 1.3.0 with previous version 1.2.3 dated 2026-08-20

Title: Tailored Knowledge Catalog
Description: Facilitate the management of data from knowledge resources that are frequently used alone or together in research environments. In 'TKCat', knowledge resources are manipulated as modeled database (MDB) objects. These objects provide access to the data tables along with a general description of the resource and a detailed data model documenting the tables, their fields and their relationships. These MDBs are then gathered in catalogs that can be easily explored and shared. Finally, 'TKCat' provides tools to easily subset, filter and combine MDBs and create new catalogs suited for specific needs.
Author: Patrice Godard [aut, cre, cph]
Maintainer: Patrice Godard <patrice.godard@gmail.com>

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Package intraclass updated to version 0.2.0 with previous version 0.1.0 dated 2026-09-10

Title: Modern Intraclass Correlation Coefficients
Description: Estimates interrater-reliability intraclass correlation coefficients (ICCs) within the generalizability-theory framework using modern variance-component estimation (linear mixed models) rather than the classical analysis-of-variance mean-squares approach. Provides the full ICC family (absolute agreement versus consistency, single versus average, fixed versus random raters, one-way versus two-way) with boundary-aware Monte-Carlo confidence intervals, support for imbalanced, incomplete, and multilevel (nested) designs, decision-study projection to other numbers of raters, and an interactive helper for choosing the correct coefficient. Multilevel methods follow ten Hove, Jorgensen and van der Ark (2022) <doi:10.1037/met0000391>.
Author: Jeffrey Girard [aut, cre]
Maintainer: Jeffrey Girard <me@jmgirard.com>

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Mon, 19 Oct 2026

Package speakeasyR updated to version 0.1.9 with previous version 0.1.8 dated 2025-09-30

Title: Fast and Robust Multi-Scale Graph Clustering
Description: A graph community detection algorithm that aims to be performant on large graphs and robust, returning consistent results across runs. SpeakEasy 2 (SE2), the underlying algorithm, is described in Chris Gaiteri, David R. Connell & Faraz A. Sultan et al. (2023) <doi:10.1186/s13059-023-03062-0>. The core algorithm is written in 'C', providing speed and keeping the memory requirements low. This implementation can take advantage of multiple computing cores without increasing memory usage. SE2 can detect community structure across scales, making it a good choice for biological data, which often has hierarchical structure. Graphs can be passed to the algorithm as adjacency matrices using base 'R' matrices, the 'Matrix' library, 'igraph' graphs, or any data that can be coerced into a matrix.
Author: David Connell [aut, cre, cph] , Chris Gaiteri [cph] , Gabor Csardi [cph, ctb] , Tamas Nepusz [cph, ctb] , Szabolcs Horvat [cph, ctb] , Vincent Traag [cph, ctb] , Fabio Zanini [cph, ctb] , Daniel Noom [cph, ctb] , The igraph development team [cph] , F [...truncated...]
Maintainer: David Connell <david32@dcon.addy.io>

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Package LLMR updated to version 0.9.0 with previous version 0.8.11 dated 2026-07-24

Title: Interface for Large Language Model APIs in R
Description: One interface to many large language model providers: a single configuration object and a single calling function serve chat and embedding models alike, so research code does not change when the provider does. The same calls scale to multi-model and multi-condition studies. Small open models can also run on the user's computer through 'llama.cpp', downloaded only on request, with access to next-token probabilities.
Author: Ali Sanaei [aut, cre]
Maintainer: Ali Sanaei <sanaei@uchicago.edu>

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Package Dogoftest updated to version 0.4.3 with previous version 0.4.2 dated 2026-10-12

Title: Distributed Online Goodness-of-Fit Tests for Distributed Datasets
Description: Distributed Online Goodness-of-Fit Test can process the distributed datasets. The philosophy of the package is described in Guo G.(2024) <doi:10.1016/j.apm.2024.115709>.
Author: Guangbao Guo [aut, cre] , Di Chang [aut]
Maintainer: Guangbao Guo <ggb11111111@163.com>

Diff between Dogoftest versions 0.4.2 dated 2026-10-12 and 0.4.3 dated 2026-10-19

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Package tidycensus updated to version 2.0.0 with previous version 1.8.1 dated 2026-05-25

Title: Load US Census Boundary and Attribute Data as 'tidyverse' and 'sf'-Ready Data Frames
Description: An integrated R interface to several United States Census Bureau APIs (<https://www.census.gov/data/developers/data-sets.html>) and the US Census Bureau's geographic boundary files. Allows R users to return Census and ACS data as tidyverse-ready data frames, and optionally returns a list-column with feature geometry for mapping and spatial analysis.
Author: Kyle Walker [aut, cre], Matt Herman [aut], Kris Eberwein [ctb]
Maintainer: Kyle Walker <kyle@walker-data.com>

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Package rtemis updated to version 1.4.2 with previous version 1.2.7 dated 2026-07-01

Title: Schema-Driven Machine Learning and Visualization
Description: Machine learning and visualization package with an 'S7' backend featuring comprehensive type checking and validation, observable runs, and auditable outputs. The functional API provides one-call access to supervised and unsupervised learning through train(), cluster(), and decomp(). All configuration steps are performed using setup functions and validated. A single call to train() can handle preprocessing, decomposition, hyperparameter tuning, model stacking, and testing with nested resampling. Supports 'data.frame', 'data.table', and 'tibble' inputs and parallel execution. Plot methods for trained and resampled supervised models draw interactive figures through 'rtemis.draw'. Includes native implementations of SuperLearner, RuleFit, and Linear Additive Trees, and supports conformal prediction. The package first appeared in E.D. Gennatas (2017) <https://repository.upenn.edu/entities/publication/d81892ea-3087-4b71-a6f5-739c58626d64>.
Author: E.D. Gennatas [aut, cre, cph]
Maintainer: E.D. Gennatas <gennatas@gmail.com>

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Package osmnxr updated to version 0.1.2 with previous version 0.1.1 dated 2026-07-05

Title: Download, Model and Analyze 'OpenStreetMap' Street Networks
Description: A 'tidyverse'-friendly toolkit, inspired by the 'OSMnx' 'Python' library, to download, model, simplify, analyze and visualize street networks and other geospatial features from 'OpenStreetMap'. Build routable graphs from a place name, address, point or bounding box; simplify topology; compute shortest paths, isochrones and urban metrics (intersection density, circuity, street-orientation entropy, centrality); and export to 'sf', 'sfnetworks' and 'MapLibre'. Heavy graph computation is performed by a bundled 'Rust' core.
Author: Andre Leite [aut, cre] , Marcos Wasiliew [aut] , Hugo Vasconcelos [aut] , Carlos Amorim [aut] , Diogo Bezerra [aut] , Julia Nascimento Barreto [aut] , StrategicProjects [cph, fnd], The extendr authors [cph] , David Tolnay [cph] , Alex Crichton [cph] [...truncated...]
Maintainer: Andre Leite <leite@castlab.org>

Diff between osmnxr versions 0.1.1 dated 2026-07-05 and 0.1.2 dated 2026-10-19

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Package orthoMTL updated to version 0.1.1 with previous version 0.1.0 dated 2026-08-23

Title: Multi-Task Learning with Orthogonal Constraints
Description: Fits regularised multi-task learning models where relationships between tasks are controlled via orthogonality or disjoint-support constraints. Supports regression, binary classification, and censored survival data. In survival mode, time-to-event outcomes are converted into binary labels at user-defined thresholds, enabling the discovery of features with time-varying effects that standard proportional-hazards models cannot detect. Implements the penalty described in Vervier et al. (2014) <https://hal.science/hal-00985654>.
Author: Kevin Vervier [aut, cre], Novartis Pharma AG [cph, fnd]
Maintainer: Kevin Vervier <kevin.vervier@novartis.com>

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Package futurize updated to version 1.1.0 with previous version 1.0.0 dated 2026-06-12

Title: Parallelize Common Functions via One Magic Function
Description: The futurize() function <doi:10.48550/arXiv.2601.17578> turns sequential map-reduce functions such as base::lapply(), purrr::map(), 'foreach::foreach() %do% { ... }' into concurrent alternatives, providing you with a simple, straightforward path to scalable parallel computing via the 'future' ecosystem <doi:10.32614/RJ-2021-048>. By combining this transpiler function with R's native pipe operator, you have a convenient way for speeding up iterative computations with minimal refactoring, e.g. 'lapply(xs, fcn) |> futurize()', 'purrr::map(xs, fcn) |> futurize()', and 'foreach::foreach(x = xs) %do% { fcn(x) } |> futurize()'. Other map-reduce packages that can be "futurized" are 'BiocParallel', 'plyr', 'crossmap', 'pbapply' packages. There is also support for a growing set of domain-specific packages on CRAN (e.g. 'boot', 'caret', 'DiceKriging', 'ez', 'fgsea', 'fwb', 'gamlss', 'glmmTMB', 'glmnet', 'kernelshap', 'lme4', 'metafor', 'mgcv', 'modelsummary', 'parameters', 'p [...truncated...]
Author: Henrik Bengtsson [aut, cre, cph]
Maintainer: Henrik Bengtsson <henrikb@braju.com>

Diff between futurize versions 1.0.0 dated 2026-06-12 and 1.1.0 dated 2026-10-19

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Package diagFDR updated to version 0.1.2 with previous version 0.1.1 dated 2026-04-27

Title: Assessing False Discovery Rate Claims in Proteomics
Description: Provides scope, calibration and stability diagnostics to assess false discovery rate (FDR) claims in peptide and protein identification workflows based on target-decoy competition and related confidence measures. Includes the recomputed decoy ratio of the reported list, accepted decoy counts and local decoy support, threshold elasticity, posterior error probability (PEP) concordance with the decoys, equal-chance checks and p-value calibration, with an HTML report. If you used this package in your research, please cite the associated preprint <doi:10.64898/2026.04.16.718468>. Detailed examples of using this package can also be found on the GitHub repository (<https://github.com/Jacky11/diagFDR>).
Author: Quentin Giai Gianetto [aut, cre]
Maintainer: Quentin Giai Gianetto <quentin.giaigianetto@pasteur.fr>

Diff between diagFDR versions 0.1.1 dated 2026-04-27 and 0.1.2 dated 2026-10-19

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Package NGLVieweR updated to version 1.5.0 with previous version 1.4.0 dated 2024-11-22

Title: Interactive 3D Visualization of Molecular Structures
Description: Provides an 'htmlwidgets' <https://www.htmlwidgets.org/> interface to 'NGL.js' <https://nglviewer.org/ngl/api/>. 'NGLVieweR' can be used to visualize and interact with protein databank ('PDB') and structural files in R and Shiny applications. It includes a set of API functions to manipulate the viewer after creation in Shiny.
Author: Niels van der Velden [aut, cre], Alexander Rose [cph] , three.js authors [cph] , Mol* contributors [cph] , Gregor Aisch [cph] , Cynthia Brewer [cph] , Mark Harrower [cph] , The Pennsylvania State University [cph] , Alexandru Mărășteanu [cph] , Miller [...truncated...]
Maintainer: Niels van der Velden <n.s.j.vandervelden@gmail.com>

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Package morpheus updated to version 1.0-6 with previous version 1.0-5 dated 2026-05-21

Title: Estimate Parameters of Mixtures of Logistic Regressions
Description: Mixture of logistic regressions parameters (H)estimation with (U)spectral methods. The main methods take d-dimensional inputs and a vector of binary outputs, and return parameters according to the GLMs mixture model (General Linear Model). For more details see chapter 3 in the PhD thesis of Mor-Absa Loum: <https://theses.fr/2018SACLS299>, available here <https://theses.hal.science/tel-01877796/document>.
Author: Benjamin Auder [aut, cre], Mor-Absa Loum [aut]
Maintainer: Benjamin Auder <benjamin.auder@universite-paris-saclay.fr>

Diff between morpheus versions 1.0-5 dated 2026-05-21 and 1.0-6 dated 2026-10-19

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Package hydrocan updated to version 0.0.2 with previous version 0.0.1 dated 2026-06-16

Title: Unified Access to Canadian Hydrometric Data
Description: Provides a unified interface for accessing diverse web-published hydrometric data sources across Canada, presenting users with consistent tabular output regardless of the underlying data source.
Author: Sam Albers [aut, cre], Emily Haughton [ctb] , Tula Foundation [fnd, cph], Canada Water Agency [fnd]
Maintainer: Sam Albers <sam.albers@hakai.org>

Diff between hydrocan versions 0.0.1 dated 2026-06-16 and 0.0.2 dated 2026-10-19

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Package gpboost updated to version 1.8.0 with previous version 1.7.4 dated 2026-08-23

Title: Combining Tree-Boosting with Gaussian Process and Mixed Effects Models
Description: An R package that allows for combining tree-boosting with Gaussian process and mixed effects models. It also allows for independently doing tree-boosting as well as inference and prediction for Gaussian process and mixed effects models. See <https://github.com/fabsig/GPBoost> for more information on the software and Sigrist (2022, JMLR) <https://www.jmlr.org/papers/v23/20-322.html> and Sigrist (2023, TPAMI) <doi:10.1109/TPAMI.2022.3168152> for more information on the methodology.
Author: Fabio Sigrist [aut, cre], Tim Gyger [aut], Pascal Kuendig [aut], Benoit Jacob [cph], Gael Guennebaud [cph], Nicolas Carre [cph], Pierre Zoppitelli [cph], Gauthier Brun [cph], Jean Ceccato [cph], Jitse Niesen [cph], Other authors of Eigen for the incl [...truncated...]
Maintainer: Fabio Sigrist <fabiosigrist@gmail.com>

Diff between gpboost versions 1.7.4 dated 2026-08-23 and 1.8.0 dated 2026-10-19

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 gpboost-1.8.0/gpboost/DESCRIPTION                                                                           |   14 
 gpboost-1.8.0/gpboost/MD5                                                                                   |  451 
 gpboost-1.8.0/gpboost/NAMESPACE                                                                             |   10 
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 gpboost-1.8.0/gpboost/configure.ac                                                                          |    2 
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 gpboost-1.8.0/gpboost/man/GPModel.Rd                                                                        |  325 
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 gpboost-1.8.0/gpboost/man/fit.GPModel.Rd                                                                    |   69 
 gpboost-1.8.0/gpboost/man/fit.Rd                                                                            |   69 
 gpboost-1.8.0/gpboost/man/fitGPModel.Rd                                                                     |  405 
 gpboost-1.8.0/gpboost/man/get_aux_pars.GPModel.Rd                                                           |    5 
 gpboost-1.8.0/gpboost/man/get_aux_pars.Rd                                                                   |    5 
 gpboost-1.8.0/gpboost/man/get_coef.GPModel.Rd                                                               |    5 
 gpboost-1.8.0/gpboost/man/get_coef.Rd                                                                       |    5 
 gpboost-1.8.0/gpboost/man/get_cov_pars.GPModel.Rd                                                           |    5 
 gpboost-1.8.0/gpboost/man/get_cov_pars.Rd                                                                   |    5 
 gpboost-1.8.0/gpboost/man/gpb.cv.Rd                                                                         |    6 
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 gpboost-1.8.0/gpboost/man/gpboost.Rd                                                                        |    6 
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 gpboost-1.8.0/gpboost/man/set_optim_params.Rd                                                               |   69 
 gpboost-1.8.0/gpboost/man/set_prediction_data.GPModel.Rd                                                    |   29 
 gpboost-1.8.0/gpboost/man/set_prediction_data.Rd                                                            |   29 
 gpboost-1.8.0/gpboost/man/summary.GPModel.Rd                                                                |    5 
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More information about gpboost at CRAN
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Package BayesFBHborrow updated to version 2.0.20 with previous version 2.0.19 dated 2026-10-19

Title: Bayesian Dynamic Borrowing with Flexible Baseline Hazard Function
Description: Allows Bayesian borrowing from a historical dataset for time-to- event data. A flexible baseline hazard function is achieved via a piecewise exponential likelihood with time varying split points and smoothing prior on the historic baseline hazards. The method is described in Scott and Lewin (2026) <doi:10.1093/biostatistics/kxag006>, and a paper focused on the software is in Scott, Axillus, Lewin and Izmirlian (2026) <doi:10.48550/arXiv.2408.04327>.
Author: Darren Scott [aut], Sophia Axillus [aut], Grant Izmirlian [aut, cre]
Maintainer: Grant Izmirlian <grant.izmirlian@astrazeneca.com>

Diff between BayesFBHborrow versions 2.0.19 dated 2026-10-19 and 2.0.20 dated 2026-10-19

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More information about BayesFBHborrow at CRAN
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