Tue, 21 Apr 2026

Package parglm readmission to version 0.1.8 with previous version 0.1.7 dated 2021-10-14

Title: Parallel GLM
Description: Provides a parallel estimation method for generalized linear models without compiling with a multithreaded LAPACK or BLAS.
Author: Benjamin Christoffersen [aut] , Anthony Williams [cph], Boost developers [cph], Tom Palmer [aut, cre]
Maintainer: Tom Palmer <remlapmot@hotmail.com>

This is a re-admission after prior archival of version 0.1.7 dated 2021-10-14

Diff between parglm versions 0.1.7 dated 2021-10-14 and 0.1.8 dated 2026-04-21

 .aspell               |only
 DESCRIPTION           |   51 ++++++++++++++++++++++++--------------------------
 MD5                   |   22 +++++++++++----------
 NEWS.md               |    9 +++++++-
 R/parglm.R            |   21 +++++---------------
 README.md             |   15 ++++++--------
 build/vignette.rds    |binary
 inst/WORDLIST         |only
 man/parglm.Rd         |   48 ++++++++++++++++++++++++++++++++---------------
 man/parglm.control.Rd |   20 ++++++++++---------
 src/LAPACK_wrappers.h |    2 -
 src/Makevars          |    1 
 src/Makevars.win      |only
 src/thread_pool.h     |    4 +--
 14 files changed, 106 insertions(+), 87 deletions(-)

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Package GGIR updated to version 3.3-6 with previous version 3.3-4 dated 2026-01-27

Title: Raw Accelerometer Data Analysis
Description: A tool to process and analyse data collected with wearable raw acceleration sensors as described in Migueles and colleagues (JMPB 2019), and van Hees and colleagues (JApplPhysiol 2014; PLoSONE 2015). The package has been developed and tested for binary data from 'GENEActiv' <https://activinsights.com/>, binary (.gt3x) and .csv-export data from 'Actigraph' <https://ametris.com/> devices, and binary (.cwa) and .csv-export data from 'Axivity' <https://axivity.com>. These devices are currently widely used in research on human daily physical activity. Further, the package can handle accelerometer data file from any other sensor brand providing that the data is stored in csv format. Also the package allows for external function embedding.
Author: Vincent T van Hees [aut, cre], Jairo H Migueles [aut] , Severine Sabia [ctb], Matthew R Patterson [ctb], Zhou Fang [ctb], Joe Heywood [ctb], Joan Capdevila Pujol [ctb], Lena Kushleyeva [ctb], Mathilde Chen [ctb], Manasa Yerramalla [ctb], Patrick Bos [...truncated...]
Maintainer: Vincent T van Hees <v.vanhees@accelting.com>

Diff between GGIR versions 3.3-4 dated 2026-01-27 and 3.3-6 dated 2026-04-21

 GGIR-3.3-4/GGIR/tests/testthat/test_chainof5parts.R     |only
 GGIR-3.3-6/GGIR/DESCRIPTION                             |   12 
 GGIR-3.3-6/GGIR/MD5                                     |   68 +--
 GGIR-3.3-6/GGIR/NEWS.md                                 |   24 +
 GGIR-3.3-6/GGIR/R/check_params.R                        |    5 
 GGIR-3.3-6/GGIR/R/detectEventBouts.R                    |  103 ++--
 GGIR-3.3-6/GGIR/R/g.analyse.avday.R                     |    2 
 GGIR-3.3-6/GGIR/R/g.impute.R                            |  354 ++++++++--------
 GGIR-3.3-6/GGIR/R/g.part6.R                             |    4 
 GGIR-3.3-6/GGIR/R/g.report.part4.R                      |   12 
 GGIR-3.3-6/GGIR/R/g.report.part5.R                      |    7 
 GGIR-3.3-6/GGIR/R/g.report.part5_dictionary.R           |    9 
 GGIR-3.3-6/GGIR/R/load_params.R                         |    2 
 GGIR-3.3-6/GGIR/build/vignette.rds                      |binary
 GGIR-3.3-6/GGIR/inst/doc/ExternalFunction.Rmd           |    2 
 GGIR-3.3-6/GGIR/inst/doc/ExternalFunction.html          |    2 
 GGIR-3.3-6/GGIR/inst/doc/GGIRParameters.Rmd             |    3 
 GGIR-3.3-6/GGIR/inst/doc/GGIRParameters.html            |  201 ++++-----
 GGIR-3.3-6/GGIR/inst/doc/GGIRoutput.Rmd                 |    6 
 GGIR-3.3-6/GGIR/inst/doc/GGIRoutput.html                |   15 
 GGIR-3.3-6/GGIR/inst/doc/StepCadenceAnalysis.Rmd        |    6 
 GGIR-3.3-6/GGIR/inst/doc/StepCadenceAnalysis.html       |   11 
 GGIR-3.3-6/GGIR/inst/doc/readmyacccsv.Rmd               |    2 
 GGIR-3.3-6/GGIR/inst/doc/readmyacccsv.html              |    8 
 GGIR-3.3-6/GGIR/man/GGIR-package.Rd                     |    4 
 GGIR-3.3-6/GGIR/man/GGIR.Rd                             |   15 
 GGIR-3.3-6/GGIR/tests/testthat/test_StudyDatesFile.R    |   65 ++
 GGIR-3.3-6/GGIR/tests/testthat/test_detectEventBouts.R  |   19 
 GGIR-3.3-6/GGIR/tests/testthat/test_integration.R       |only
 GGIR-3.3-6/GGIR/tests/testthat/test_load_check_params.R |    2 
 GGIR-3.3-6/GGIR/tests/testthat/test_part6.R             |    2 
 GGIR-3.3-6/GGIR/vignettes/ExternalFunction.Rmd          |    2 
 GGIR-3.3-6/GGIR/vignettes/GGIRParameters.Rmd            |    3 
 GGIR-3.3-6/GGIR/vignettes/GGIRoutput.Rmd                |    6 
 GGIR-3.3-6/GGIR/vignettes/StepCadenceAnalysis.Rmd       |    6 
 GGIR-3.3-6/GGIR/vignettes/readmyacccsv.Rmd              |    2 
 36 files changed, 557 insertions(+), 427 deletions(-)

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Package geneticae updated to version 1.0.1 with previous version 1.0.0 dated 2026-04-16

Title: Statistical Tools for the Analysis of Multi Environment Agronomic Trials
Description: Provides tools for the analysis of multi-environment agronomic trials, with a specific focus on plant breeding experiments. Implements the Additive Main effects and Multiplicative Interaction (AMMI) model (Gauch, 1992, ISBN:9780444892409) and the Site Regression (SREG) model (Cornelius, 1996, <doi:10.1201/9780367802226>). To ensure reliable results even with outliers or missing data, it includes robust versions of AMMI (Rodrigues et al., 2016, <doi:10.1093/bioinformatics/btv533>) and SREG (Angelini et al., 2022, <doi:10.1080/15427528.2022.2051217>). Furthermore, the package offers advanced imputation techniques for multi-environment data, covering classical methodologies (Arciniegas-Alarcón et al., 2014, <doi:10.2478/bile-2014-0006>) and recently published imputation methods for MET data (Angelini et al., 2024, <doi:10.1007/s10681-024-03344-z>).
Author: Julia Angelini [aut, cre] , Marcos Prunello [aut] , Gerardo Cervigni [aut]
Maintainer: Julia Angelini <jangelini_93@hotmail.com>

Diff between geneticae versions 1.0.0 dated 2026-04-16 and 1.0.1 dated 2026-04-21

 DESCRIPTION                              |   30 +++++------
 MD5                                      |   52 +++++++++----------
 NEWS.md                                  |   10 ++-
 R/EM_AMMI.R                              |    2 
 R/EM_GGE.R                               |   10 ---
 R/Eigenvector.R                          |   47 +++++------------
 R/W_GabrielEigen.R                       |   65 +++++++----------------
 R/impute.R                               |   15 +++--
 R/rAMMIModel.R                           |   74 +++++++++++++++++++++++----
 R/rAMMIPlot.R                            |   61 ++++++++++++++++------
 R/rSREGModel.R                           |    3 -
 R/rSREGPlot.R                            |    6 +-
 README.md                                |   55 ++++++++++++--------
 inst/WORDLIST                            |   84 ++-----------------------------
 inst/doc/a-tutorial.Rmd                  |   69 +++++++++++--------------
 inst/doc/a-tutorial.html                 |   48 ++++++++---------
 inst/doc/b-shiny.html                    |    4 -
 man/EM.AMMI.Rd                           |    2 
 man/WGabriel.Rd                          |    4 -
 man/figures/README-unnamed-chunk-4-1.png |binary
 man/imputation.Rd                        |   15 +++--
 man/rAMMIModel.Rd                        |   73 +++++++++++++++++++++++---
 man/rAMMIPlot.Rd                         |   62 ++++++++++++++++------
 man/rSREGModel.Rd                        |    2 
 man/rSREGPlot.Rd                         |    6 +-
 tests/spelling.R                         |    2 
 vignettes/a-tutorial.Rmd                 |   69 +++++++++++--------------
 27 files changed, 463 insertions(+), 407 deletions(-)

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New package freestiler with initial version 0.1.6
Package: freestiler
Title: Create Vector Tiles from Spatial Data
Version: 0.1.6
Date: 2026-04-13
Description: Create vector tile archives in 'PMTiles' format from 'sf' spatial data frames. Supports 'Mapbox Vector Tile' ('MVT') and 'MapLibre Tile' ('MLT') output formats. Uses a 'Rust' backend via 'extendr' for fast, in-memory tiling with zero external system dependencies.
License: MIT + file LICENSE
URL: https://walker-data.com/freestiler/, https://github.com/walkerke/freestiler/
BugReports: https://github.com/walkerke/freestiler/issues
Encoding: UTF-8
Imports: sf
Suggests: arrow, DBI, duckdb, httpuv, jsonlite, mapgl, testthat (>= 3.0.0), withr
SystemRequirements: Cargo (Rust's package manager), rustc >= 1.70
Depends: R (>= 4.2)
NeedsCompilation: yes
Packaged: 2026-04-14 14:46:38 UTC; kylewalker
Author: Kyle Walker [aut, cre]
Maintainer: Kyle Walker <kyle@walker-data.com>
Repository: CRAN
Date/Publication: 2026-04-21 10:52:20 UTC

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Package farr readmission to version 1.0.1 with previous version 1.0.0 dated 2025-11-17

Title: Data and Code for Empirical Research in Accounting
Description: Handy functions and data to support the course book 'Empirical Research in Accounting: Tools and Methods' (1st ed.). Chapman and Hall/CRC. <doi:10.1201/9781003456230> and <https://iangow.github.io/far_book/>.
Author: Ian Gow [aut, cre]
Maintainer: Ian Gow <iandgow@gmail.com>

This is a re-admission after prior archival of version 1.0.0 dated 2025-11-17

Diff between farr versions 1.0.0 dated 2025-11-17 and 1.0.1 dated 2026-04-21

 DESCRIPTION                              |    6 ++---
 MD5                                      |   26 ++++++++++++-----------
 NAMESPACE                                |    1 
 NEWS.md                                  |    4 ++-
 R/duckdb_to_parquet.R                    |only
 R/get_ff_ind.R                           |    4 +--
 R/get_me_breakpoints.R                   |    2 +
 R/get_size_rets_monthly.R                |    8 +++----
 build/partial.rdb                        |binary
 inst/WORDLIST                            |   35 +++++++++++++++++++++++++++----
 man/duckdb_to_parquet.Rd                 |only
 man/get_ff_ind.Rd                        |    4 +--
 man/get_me_breakpoints.Rd                |    2 +
 tests/testthat/test-get_ff_ind.R         |    2 +
 tests/testthat/test-get_me_breakpoints.R |    6 +++--
 15 files changed, 70 insertions(+), 30 deletions(-)

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New package splitGraph with initial version 0.1.0
Package: splitGraph
Title: Dataset Dependency Graphs for Leakage-Aware Evaluation
Version: 0.1.0
Description: Represent biomedical dataset structure as typed dependency graphs so that sample provenance, repeated-measure structure, study design, batch effects, and temporal relationships are explicit and inspectable. Validates dataset structure, detects sample-level overlap, derives deterministic split constraints, and produces a tool-agnostic split specification for leakage-aware evaluation workflows.
License: MIT + file LICENSE
URL: https://github.com/selcukorkmaz/splitGraph
BugReports: https://github.com/selcukorkmaz/splitGraph/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: graphics, igraph
Suggests: knitr, pkgload, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-04-14 21:44:56 UTC; selcuk
Author: Selcuk Korkmaz [aut, cre]
Maintainer: Selcuk Korkmaz <selcukorkmaz@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-21 09:20:01 UTC

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New package rwig with initial version 0.1.0
Package: rwig
Title: Wasserstein Index Generation (WIG) Model
Version: 0.1.0
Description: Efficient implementation of several Optimal Transport algorithms in Fangzhou Xie (2025) <doi:10.48550/arXiv.2504.08722> and the Wasserstein Index Generation (WIG) model in Fangzhou Xie (2020) <doi:10.1016/j.econlet.2019.108874>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
URL: https://github.com/fangzhou-xie/rwig, https://fangzhou-xie.github.io/rwig/
BugReports: https://github.com/fangzhou-xie/rwig/issues
LinkingTo: Rcpp (>= 1.0.8), RcppArmadillo (>= 0.12.8.4.0)
Imports: utils, stats, rlang, cli, lubridate, Rcpp, RhpcBLASctl, word2vec, tokenizers, stopwords
SystemRequirements: autoconf, CUDA (> 13.0, only for Linux)
Suggests: knitr, rmarkdown, tinytest
Depends: R (>= 4.2)
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-04-14 19:57:05 UTC; fangzhou
Author: Fangzhou Xie [aut, cre, cph]
Maintainer: Fangzhou Xie <fangzhou.xie@rutgers.edu>
Repository: CRAN
Date/Publication: 2026-04-21 09:22:14 UTC

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New package rjd3xjars with initial version 0.1.0
Package: rjd3xjars
Title: R Interface to 'JDemetra+ 3.x' Time Series Analysis Software
Version: 0.1.0
Description: R Interface to 'JDemetra+ 3.x' (<https://github.com/jdemetra>) time series analysis software. It provides functions allowing to decompose a time series, including high-frequency data with multiple periodicities.
Depends: R (>= 4.1.0)
Imports: rJava (>= 1.0-6), rjd3toolkit (>= 3.7.1)
SystemRequirements: Java (>= 21)
License: EUPL
URL: https://github.com/rjdverse/rjd3xjars
Suggests: knitr, rmarkdown
BugReports: https://github.com/rjdverse/rjd3xjars/issues
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-04-14 13:37:02 UTC; onyxia
Author: Jean Palate [aut], Tanguy Barthelemy [aut, cre]
Maintainer: Tanguy Barthelemy <tanguy.barthelemy@insee.fr>
Repository: CRAN
Date/Publication: 2026-04-21 09:02:11 UTC

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New package rjd3production with initial version 1.1.0
Package: rjd3production
Title: Prepare for Production of Seasonal Adjustment with 'JDemetra+'
Version: 1.1.0
Description: A comprehensive tool for setting up seasonal data pipelines using 'JDemetra+' (version 3) and 'rjdverse'. This includes setting up a new working environment, creating and selecting calendar regressors, managing specifications (trading-days regressors and outliers) at the workspace level, making a workspace usable by the 'cruncher', removing insignificant outliers, and comparing workspaces.
Depends: R (>= 4.2.0)
Imports: rjd3toolkit, rjd3x13, rjd3workspace, rjd3providers, utils, dygraphs, flextable, stats, tidyr, tools, yaml, zoo, shiny, constructive, usethis, TBox, date4ts, lintr
Suggests: testthat (>= 3.0.0), knitr, quarto, rmarkdown, waldo
License: EUPL
Encoding: UTF-8
VignetteBuilder: knitr, quarto
URL: https://inseefr.github.io/rjd3production/
NeedsCompilation: no
Packaged: 2026-04-14 14:09:52 UTC; onyxia
Author: Tanguy Barthelemy [aut, cre, art]
Maintainer: Tanguy Barthelemy <tanguy.barthelemy@insee.fr>
Repository: CRAN
Date/Publication: 2026-04-21 09:02:16 UTC

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New package FoRecoML with initial version 1.0.0
Package: FoRecoML
Title: Forecast Reconciliation with Machine Learning
Version: 1.0.0
Description: Nonlinear forecast reconciliation with machine learning in cross-sectional (Spiliotis et al. 2021 <doi:10.1016/j.asoc.2021.107756>), temporal, and cross-temporal (Rombouts et al. 2024 <doi:10.1016/j.ijforecast.2024.05.008>) frameworks.
Depends: R (>= 3.4), Matrix, FoReco
Imports: stats, cli, methods, randomForest, lightgbm, xgboost, mlr3, mlr3tuning, mlr3learners, paradox
License: GPL (>= 3)
Encoding: UTF-8
URL: https://github.com/danigiro/FoRecoML, https://danigiro.github.io/FoRecoML/
BugReports: https://github.com/danigiro/FoRecoML/issues
Suggests: testthat (>= 3.0.0), ranger
NeedsCompilation: no
Packaged: 2026-04-14 19:07:16 UTC; daniele
Author: Daniele Girolimetto [aut, cre] , Yangzhuoran Fin Yang [aut] , Jeroen Rombouts [aut] , Ines Wilms [aut]
Maintainer: Daniele Girolimetto <daniele.girolimetto@unipd.it>
Repository: CRAN
Date/Publication: 2026-04-21 09:12:09 UTC

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Package tidyprompt updated to version 0.4.0 with previous version 0.3.0 dated 2025-11-30

Title: Prompt Large Language Models and Enhance Their Functionality
Description: Easily construct prompts and associated logic for interacting with large language models (LLMs). 'tidyprompt' introduces the concept of prompt wraps, which are building blocks that you can use to quickly turn a simple prompt into a complex one. Prompt wraps do not just modify the prompt text, but also add extraction and validation functions that will be applied to the response of the LLM. This ensures that the user gets the desired output. 'tidyprompt' can add various features to prompts and their evaluation by LLMs, such as structured output, automatic feedback, retries, reasoning modes, autonomous R function calling, and R code generation and evaluation. It is designed to be compatible with any LLM provider that offers chat completion.
Author: Luka Koning [aut, cre, cph], Tjark Van de Merwe [aut, cph], Kennispunt Twente [fnd]
Maintainer: Luka Koning <koningluka@gmail.com>

Diff between tidyprompt versions 0.3.0 dated 2025-11-30 and 0.4.0 dated 2026-04-21

 DESCRIPTION                                          |   18 
 MD5                                                  |  151 ++-
 NAMESPACE                                            |    2 
 NEWS.md                                              |  248 +++--
 R/answer_as_dataframe.R                              |only
 R/answer_as_json.R                                   |   14 
 R/answer_as_numeric.R                                |only
 R/answer_using_r.R                                   |   19 
 R/answer_using_sql.R                                 |    5 
 R/answer_using_tools.R                               |  247 ++++-
 R/chat_history.R                                     |   10 
 R/helper_ellmer_json_compatibility.R                 |  193 +++-
 R/helper_ellmer_tool_compatibility.R                 |  254 ++++--
 R/internal_extraction.R                              |    2 
 R/internal_request_llm_provider.R                    |   58 +
 R/internal_test_helpers.R                            |    2 
 R/llm_break.R                                        |    2 
 R/llm_provider.R                                     |   68 +
 R/llm_providers.R                                    |  761 ++++++++++++++++--
 R/misc_add_image.R                                   |   76 -
 R/misc_llm_verify.R                                  |    2 
 R/misc_quit_if.R                                     |    2 
 R/persistent_chat.R                                  |    6 
 R/send_prompt.R                                      |  128 ++-
 R/tidyprompt.R                                       |   12 
 README.md                                            |   21 
 inst/doc/getting_started.Rmd                         |  799 +++++++++----------
 inst/doc/getting_started.html                        |   16 
 inst/examples/answer_as_dataframe.R                  |only
 inst/examples/answer_as_numeric.R                    |only
 inst/examples/send_prompt.R                          |    4 
 inst/examples/skim_with_labels_and_levels.R          |   16 
 man/add_image.Rd                                     |    9 
 man/add_text.Rd                                      |    2 
 man/answer_as_boolean.Rd                             |    4 
 man/answer_as_category.Rd                            |    4 
 man/answer_as_dataframe.Rd                           |only
 man/answer_as_integer.Rd                             |    4 
 man/answer_as_json.Rd                                |    4 
 man/answer_as_list.Rd                                |    4 
 man/answer_as_multi_category.Rd                      |    4 
 man/answer_as_named_list.Rd                          |    4 
 man/answer_as_numeric.Rd                             |only
 man/answer_as_regex_match.Rd                         |    4 
 man/answer_as_text.Rd                                |    4 
 man/answer_by_chain_of_thought.Rd                    |    2 
 man/answer_by_react.Rd                               |    2 
 man/answer_using_r.Rd                                |    2 
 man/answer_using_sql.Rd                              |    2 
 man/answer_using_tools.Rd                            |   16 
 man/chat_history.Rd                                  |    2 
 man/llm_provider_ellmer.Rd                           |   11 
 man/prompt_wrap.Rd                                   |    2 
 man/quit_if.Rd                                       |    2 
 man/send_prompt.Rd                                   |   28 
 man/set_system_prompt.Rd                             |    2 
 man/skim_with_labels_and_levels.Rd                   |   16 
 man/tidyprompt-package.Rd                            |    2 
 man/tools_add_docs.Rd                                |    4 
 man/tools_get_docs.Rd                                |  422 +++++-----
 tests/testthat/helper-ellmer.R                       |   69 +
 tests/testthat/test-answer-as-json.R                 |   66 +
 tests/testthat/test-answer_as_dataframe.R            |only
 tests/testthat/test-answer_as_numeric.R              |only
 tests/testthat/test-answer_using_tools.R             |  385 +++++++++
 tests/testthat/test-chat_history.R                   |   13 
 tests/testthat/test-ellmer_add_image.R               |  112 ++
 tests/testthat/test-ellmer_builtin_tool.R            |only
 tests/testthat/test-ellmer_clone_semantics.R         |only
 tests/testthat/test-ellmer_json_compatibility.R      |   46 +
 tests/testthat/test-ellmer_param_warning.R           |only
 tests/testthat/test-ellmer_streaming.R               |    1 
 tests/testthat/test-ellmer_streaming_harden.R        |only
 tests/testthat/test-ellmer_structured_native.R       |only
 tests/testthat/test-ellmer_tool_compatibility.R      |  151 +++
 tests/testthat/test-ellmer_tool_optional_args.R      |only
 tests/testthat/test-ellmer_tool_scope.R              |only
 tests/testthat/test-ellmer_turn_construction.R       |only
 tests/testthat/test-ellmer_type_from_schema.R        |only
 tests/testthat/test-general.R                        |    3 
 tests/testthat/test-llm_provider.R                   |  140 +++
 tests/testthat/test-llm_provider_ellmer_multimodal.R |  103 ++
 tests/testthat/test-persistent_chat_ellmer.R         |only
 tests/testthat/test-request_llm_provider.R           |only
 tests/testthat/test-send_prompt.R                    |  545 ++++++++++++
 vignettes/getting_started.Rmd                        |  799 +++++++++----------
 86 files changed, 4512 insertions(+), 1619 deletions(-)

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New package spada with initial version 0.1.5
Package: spada
Title: A 'shiny' Package for Data Analysis
Version: 0.1.5
Maintainer: Luis Gustavo Schuck <luisgustavoschuck@yahoo.com.br>
Description: Provides a 'shiny' application with a user-friendly interface for interactive data analysis. It supports exploratory data analysis through descriptive statistics, data visualization, statistical tests (e.g., normality assessment), linear modeling, data import, transformation and reporting. For more details see Shapiro and Wilk (1965) <doi:10.2307/2333709>.
License: AGPL (>= 3)
URL: https://github.com/lgschuck/spada
BugReports: https://github.com/lgschuck/spada/issues
Depends: R (>= 4.4.0)
Imports: bsicons (>= 0.1.2), bslib (>= 0.10.0), collapse (>= 2.1.6), data.table (>= 1.18.2.1), DescTools (>= 0.99.60), dplyr (>= 1.1.4), ggplot2 (>= 4.0.1), gt (>= 1.3.0), haven (>= 2.5.5), htmltools (>= 0.5.9), mirai (>= 2.5.3), qs2 (>= 0.1.7), rlang (>= 1.1.7), sass (>= 0.4.10), shiny (>= 1.12.1), shinyWidgets (>= 0.9.0), waiter (>= 0.2.5.1)
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), tidyselect
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-04-14 11:34:28 UTC; luisg
Author: Luis Gustavo Schuck [aut, cre]
Repository: CRAN
Date/Publication: 2026-04-21 08:40:02 UTC

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New package resultcheck with initial version 0.1.4
Package: resultcheck
Title: Result Stability Checks for Empirical R Projects
Version: 0.1.4
Description: Lightweight helpers for checking whether empirical results remain substantively unchanged across code revisions, platform differences, and package updates. The package supports regression-style testing of derived datasets, statistical model outputs, tables, and plots, helping researchers detect unintended result drift early and distinguish material from non-material changes in empirical workflows.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: withr, rprojroot, yaml
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), waldo
URL: https://github.com/kv9898/resultcheck/, https://kv9898.github.io/resultcheck/
BugReports: https://github.com/kv9898/resultcheck/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-04-14 12:24:32 UTC; Dianyi
Author: Dianyi Yang [aut, cre, ctb]
Maintainer: Dianyi Yang <dianyi.yang@politics.ox.ac.uk>
Repository: CRAN
Date/Publication: 2026-04-21 08:52:09 UTC

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Package rdacca.hp updated to version 1.1-3 with previous version 1.1-2 dated 2026-04-05

Title: Hierarchical and Variation Partitioning for Canonical Analysis
Description: This function conducts variation partitioning and hierarchical partitioning to calculate the unique, shared (referred as to "common") and individual contributions of each predictor (or matrix) towards explained variation (R-square and adjusted R-square) on canonical analysis (RDA,CCA and db-RDA), applying the algorithm of Lai J.,Zou Y., Zhang J.,Peres-Neto P.(2022) Generalizing hierarchical and variation partitioning in multiple regression and canonical analyses using the rdacca.hp R package.Methods in Ecology and Evolution,13: 782-788 <DOI:10.1111/2041-210X.13800>.
Author: Jiangshan Lai [aut, cre] , Kim Nimon [aut], Yao Liu [aut], Pedro Peres-Neto [aut]
Maintainer: Jiangshan Lai <lai@njfu.edu.cn>

Diff between rdacca.hp versions 1.1-2 dated 2026-04-05 and 1.1-3 dated 2026-04-21

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New package nordstatExtras with initial version 0.1.0
Package: nordstatExtras
Title: Shared 'SQLite' Cache Backend for the 'nordstat' Package Family
Version: 0.1.0
Description: Provides a SQLite-backed cell-level cache that can be used as a drop-in backend by the nordstat family of packages ('rKolada', 'rTrafa', and 'pixieweb'). Designed for multi-user web applications where minimal fetch latency and asynchronous writes are required. Individual statistical values ("cells") are stored in a gatekeeper schema with a sidecar table for arbitrary metadata dimensions, enabling deduplication across overlapping queries.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: DBI, RSQLite, rlang, tibble, jsonlite, digest
Suggests: mirai, testthat (>= 3.0.0), withr
URL: https://github.com/LCHansson/nordstatExtras
BugReports: https://github.com/LCHansson/nordstatExtras/issues
NeedsCompilation: no
Packaged: 2026-04-14 06:40:40 UTC; tgslhn
Author: Love Hansson [aut, cre]
Maintainer: Love Hansson <love.hansson@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-21 08:30:19 UTC

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New package metafrontier with initial version 0.2.2
Package: metafrontier
Title: Analysis of Metafrontier Models for Efficiency and Productivity
Version: 0.2.2
Description: Implements metafrontier production function models for estimating technical efficiencies and technology gaps for firms operating under different technologies. Supports both stochastic frontier analysis (SFA) and data envelopment analysis (DEA) based metafrontiers. Includes the deterministic metafrontier of Battese, Rao, and O'Donnell (2004) <doi:10.1023/B:PROD.0000012454.06094.29>, the stochastic metafrontier of Huang, Huang, and Liu (2014) <doi:10.1007/s11123-014-0402-2>, and the metafrontier Malmquist productivity index of O'Donnell, Rao, and Battese (2008) <doi:10.1007/s00181-007-0119-4>. Additional features include panel SFA with time-varying inefficiency, bootstrap confidence intervals for technology gap ratios, latent class metafrontier estimation via the EM algorithm, Murphy-Topel corrected standard errors, and 'ggplot2' visualisation methods.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: stats, graphics, grDevices, Formula, numDeriv, lpSolveAPI, methods
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, sfaR, frontier, Benchmarking, plm, ggplot2, parallel
VignetteBuilder: knitr
URL: https://github.com/iik1/metafrontier
BugReports: https://github.com/iik1/metafrontier/issues
NeedsCompilation: no
Packaged: 2026-04-14 07:18:02 UTC; s14454
Author: Erik Enstad [aut, cre]
Maintainer: Erik Enstad <erik.enstad@nhh.no>
Repository: CRAN
Date/Publication: 2026-04-21 08:30:24 UTC

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New package fastlpr with initial version 1.0.1
Package: fastlpr
Title: Fast Local Polynomial Regression and Kernel Density Estimation
Version: 1.0.1
Description: Non-Uniform Fast Fourier Transform ('NUFFT')-accelerated local polynomial regression and kernel density estimation for large, scattered, or complex-valued datasets. Provides automatic bandwidth selection via Generalized Cross-Validation (GCV) for regression and Likelihood Cross-Validation (LCV) for density estimation. This is the 'R' port of the 'fastLPR' 'MATLAB'/'Python' toolbox, achieving O(N + M log M) computational complexity through custom 'NUFFT' implementation with Gaussian gridding. Supports 1D/2D/3D data, complex-valued responses, heteroscedastic variance estimation, and confidence interval computation. Performance optimized with vectorized 'R' code and compiled helpers via 'Rcpp'/'RcppArmadillo'. Extends the 'FKreg' toolbox of Wang et al. (2022) <doi:10.48550/arXiv.2204.07716> with 'Python' and 'R' ports. Applied in Li et al. (2022) <doi:10.1016/j.neuroimage.2022.119190>. Uses 'NUFFT' methods based on Greengard and Lee (2004) <doi:10.1137/S003614450343200X> [...truncated...]
License: GPL-3
Encoding: UTF-8
ByteCompile: false
Depends: R (>= 4.2.0)
Imports: stats, utils, grDevices, graphics, compiler, Rcpp (>= 1.0.0)
Suggests: testthat (>= 3.0.0), akima, rgl, R.matlab
LinkingTo: Rcpp, RcppArmadillo
SystemRequirements: GNU make
URL: https://github.com/rigelfalcon/fastLPR
BugReports: https://github.com/rigelfalcon/fastLPR/issues
NeedsCompilation: yes
Packaged: 2026-04-14 01:51:00 UTC; PC
Author: Ying Wang [aut, cre], Min Li [aut]
Maintainer: Ying Wang <yingwangrigel@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-21 08:20:02 UTC

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Package IRTM updated to version 0.0.1.2 with previous version 0.0.1.1 dated 2025-04-19

Title: Theory-Driven Item Response Theory (IRT) Models
Description: IRT-M is a semi-supervised approach based on Bayesian Item Response Theory that produces theoretically identified underlying dimensions from input data and a constraints matrix. The methodology is fully described in 'Morucci et al. (2024), "Measurement That Matches Theory: Theory-Driven Identification in Item Response Theory Models"'. Details are available at <https://www.cambridge.org/core/journals/american-political-science-review/article/measurement-that-matches-theory-theorydriven-identification-in-item-response-theory-models/395DA1DFE3DCD7B866DC053D7554A30B>.
Author: Marco Morucci [aut], Margaret Foster [aut] , David Siegel [aut, cre]
Maintainer: David Siegel <david.siegel@duke.edu>

Diff between IRTM versions 0.0.1.1 dated 2025-04-19 and 0.0.1.2 dated 2026-04-21

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Package bit64 updated to version 4.8.0 with previous version 4.6.0-1 dated 2025-01-16

Title: A S3 Class for Vectors of 64bit Integers
Description: Package 'bit64' provides serializable S3 atomic 64bit (signed) integers. These are useful for handling database keys and exact counting in +-2^63. WARNING: do not use them as replacement for 32bit integers, integer64 are not supported for subscripting by R-core and they have different semantics when combined with double, e.g. integer64 + double => integer64. Class integer64 can be used in vectors, matrices, arrays and data.frames. Methods are available for coercion from and to logicals, integers, doubles, characters and factors as well as many elementwise and summary functions. Many fast algorithmic operations such as 'match' and 'order' support inter- active data exploration and manipulation and optionally leverage caching.
Author: Michael Chirico [aut, cre], Jens Oehlschlaegel [aut], Leonardo Silvestri [ctb], Ofek Shilon [ctb], Christian Ullerich [ctb]
Maintainer: Michael Chirico <michaelchirico4@gmail.com>

Diff between bit64 versions 4.6.0-1 dated 2025-01-16 and 4.8.0 dated 2026-04-21

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Package VCBART updated to version 1.2.5 with previous version 1.2.4 dated 2025-12-09

Title: Fit Varying Coefficient Models with Bayesian Additive Regression Trees
Description: Fits linear varying coefficient (VC) models, which assert a linear relationship between an outcome and several covariates but allow that relationship (i.e., the coefficients or slopes in the linear regression) to change as functions of additional variables known as effect modifiers, by approximating the coefficient functions with Bayesian Additive Regression Trees. Implements a Metropolis-within-Gibbs sampler to simulate draws from the posterior over coefficient function evaluations. VC models with independent observations or repeated observations can be fit. For more details see Deshpande et al. (2026) <doi:10.1214/24-BA1470>.
Author: Sameer K. Deshpande [aut, cre] , Ray Bai [aut] , Cecilia Balocchi [aut] , Jennifer Starling [aut], Jordan Weiss [aut]
Maintainer: Sameer K. Deshpande <sameer.deshpande@wisc.edu>

Diff between VCBART versions 1.2.4 dated 2025-12-09 and 1.2.5 dated 2026-04-21

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Package V8 updated to version 8.2.0 with previous version 8.1.0 dated 2026-04-12

Title: Embedded JavaScript and WebAssembly Engine for R
Description: An R interface to V8 <https://v8.dev>: Google's open source JavaScript and WebAssembly engine. This package can be compiled either with V8 or NodeJS when built as a shared library.
Author: Jeroen Ooms [aut, cre] , George Stagg [ctb] , Jan Marvin Garbuszus [ctb]
Maintainer: Jeroen Ooms <jeroenooms@gmail.com>

Diff between V8 versions 8.1.0 dated 2026-04-12 and 8.2.0 dated 2026-04-21

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Package testit updated to version 0.18 with previous version 0.17 dated 2026-03-06

Title: A Simple Package for Testing R Packages
Description: Provides two convenience functions assert() and test_pkg() to facilitate testing R packages.
Author: Yihui Xie [aut, cre] , Tomas Kalibera [ctb], Steven Mortimer [ctb]
Maintainer: Yihui Xie <xie@yihui.name>

Diff between testit versions 0.17 dated 2026-03-06 and 0.18 dated 2026-04-21

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Package Sequential updated to version 4.6.0 with previous version 4.5.2 dated 2025-12-01

Title: Exact Sequential Analysis for Poisson and Binomial Data
Description: Functions to calculate exact critical values, statistical power, expected time to signal, and required sample sizes for performing exact sequential analysis. All these calculations can be done for either Poisson or binomial data, for continuous or group sequential analyses, and for different types of rejection boundaries. In case of group sequential analyses, the group sizes do not have to be specified in advance and the alpha spending can be arbitrarily settled. For regression versions of the methods, Monte Carlo and asymptotic methods are used.
Author: Ivair Ramos Silva [aut, cre], Martin Kulldorff [aut]
Maintainer: Ivair Ramos Silva <ivair@ufop.edu.br>

Diff between Sequential versions 4.5.2 dated 2025-12-01 and 4.6.0 dated 2026-04-21

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Package rolog updated to version 0.9.26 with previous version 0.9.25 dated 2026-02-24

Title: Query 'SWI'-'Prolog' from R
Description: This R package connects to SWI-Prolog, <https://www.swi-prolog.org/>, so that R can send deterministic and non-deterministic queries to prolog (consult, query/submit, once, findall).
Author: Matthias Gondan [aut, com, cre] , European Commission [fnd]
Maintainer: Matthias Gondan <Matthias.Gondan-Rochon@uibk.ac.at>

Diff between rolog versions 0.9.25 dated 2026-02-24 and 0.9.26 dated 2026-04-21

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Package RcppArmadillo updated to version 15.2.6-1 with previous version 15.2.4-1 dated 2026-03-17

Title: 'Rcpp' Integration for the 'Armadillo' Templated Linear Algebra Library
Description: 'Armadillo' is a templated C++ linear algebra library aiming towards a good balance between speed and ease of use. It provides high-level syntax and functionality deliberately similar to Matlab. It is useful for algorithm development directly in C++, or quick conversion of research code into production environments. It provides efficient classes for vectors, matrices and cubes where dense and sparse matrices are supported. Integer, floating point and complex numbers are supported. A sophisticated expression evaluator (based on template meta-programming) automatically combines several operations to increase speed and efficiency. Dynamic evaluation automatically chooses optimal code paths based on detected matrix structures. Matrix decompositions are provided through integration with LAPACK, or one of its high performance drop-in replacements (such as 'MKL' or 'OpenBLAS'). It can automatically use 'OpenMP' multi-threading (parallelisation) to speed up computationally expensive operations [...truncated...]
Author: Dirk Eddelbuettel [aut, cre] , Romain Francois [aut] , Doug Bates [aut] , Binxiang Ni [aut], Conrad Sanderson [aut]
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between RcppArmadillo versions 15.2.4-1 dated 2026-03-17 and 15.2.6-1 dated 2026-04-21

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Package nc updated to version 2026.4.20 with previous version 2026.2.20 dated 2026-02-26

Title: Named Capture to Data Tables
Description: User-friendly functions for extracting a data table (row for each match, column for each group) from non-tabular text data using regular expressions, and for melting columns that match a regular expression. Patterns are defined using a readable syntax that makes it easy to build complex patterns in terms of simpler, re-usable sub-patterns. Named R arguments are translated to column names in the output; capture groups without names are used internally in order to provide a standard interface to three regular expression 'C' libraries ('PCRE', 'RE2', 'ICU'). Output can also include numeric columns via user-specified type conversion functions.
Author: Toby Hocking [aut, cre]
Maintainer: Toby Hocking <toby.hocking@r-project.org>

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More information about nc at CRAN
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Package iotarelr updated to version 0.1.8 with previous version 0.1.7 dated 2026-01-12

Title: Iota Inter Coder Reliability for Content Analysis
Description: Routines and tools for assessing the quality of content analysis on the basis of the Iota Reliability Concept. The concept is inspired by item response theory and can be applied to any kind of content analysis which uses a standardized coding scheme and discrete categories. It is also applicable for content analysis conducted by artificial intelligence. The package provides reliability measures for a complete scale as well as for every single category. Analysis of subgroup-invariance and error corrections are implemented. This information can support the development process of a coding scheme and allows a detailed inspection of the quality of the generated data. Equations and formulas working in this package are part of Berding et al. (2022)<doi:10.3389/feduc.2022.818365> and Berding and Pargmann (2022) <doi:10.30819/5581>.
Author: Berding Florian [aut, cre] , Pargmann Julia [ctb]
Maintainer: Berding Florian <florian.berding@uni-hamburg.de>

Diff between iotarelr versions 0.1.7 dated 2026-01-12 and 0.1.8 dated 2026-04-21

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Package eulerr updated to version 7.1.0 with previous version 7.0.4 dated 2025-09-24

Title: Area-Proportional Euler and Venn Diagrams with Ellipses
Description: Generate area-proportional Euler diagrams using numerical optimization. An Euler diagram is a generalization of a Venn diagram, relaxing the criterion that all interactions need to be represented. Diagrams may be fit with ellipses and circles via a wide range of inputs and can be visualized in numerous ways.
Author: Johan Larsson [aut, cre] , A. Jonathan R. Godfrey [ctb], Peter Gustafsson [ctb], David H. Eberly [ctb] , Emanuel Huber [ctb] , Florian Prive [ctb]
Maintainer: Johan Larsson <johanlarsson@outlook.com>

Diff between eulerr versions 7.0.4 dated 2025-09-24 and 7.1.0 dated 2026-04-21

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Package cosmicsig updated to version 1.3.1 with previous version 1.1.1 dated 2023-08-30

Title: Mutational Signatures from COSMIC (Catalogue of Somatic Mutations in Cancer)
Description: A data package with 2 main package variables: 'signature' and 'etiology'. The 'signature' variable contains the latest mutational signature profiles released on COSMIC <https://cancer.sanger.ac.uk/signatures/> for 3 mutation types: * Single base substitutions in the context of preceding and following bases, * Doublet base substitutions, and * Small insertions and deletions. 'cosmicsig' stands for COSMIC signatures. Please run ?'cosmicsig' for more information.
Author: Steven Rozen [aut, cre] , Nanhai Jiang [aut]
Maintainer: Steven Rozen <steverozen@pm.me>

Diff between cosmicsig versions 1.1.1 dated 2023-08-30 and 1.3.1 dated 2026-04-21

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Package cohorttools updated to version 0.1.8 with previous version 0.1.7 dated 2025-10-18

Title: Cohort Data Analyses
Description: Functions to make lifetables and to calculate hazard function estimate using Poisson regression model with splines. Includes function to draw simple flowchart of cohort study. Function boxesLx() makes boxes of transition rates between states. It utilizes 'Epi' package 'Lexis' data.
Author: Jari Haukka [aut, cre]
Maintainer: Jari Haukka <jari.haukka@helsinki.fi>

Diff between cohorttools versions 0.1.7 dated 2025-10-18 and 0.1.8 dated 2026-04-21

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More information about cohorttools at CRAN
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