Tue, 01 Sep 2026

Package xtdml updated to version 0.1.13 with previous version 0.1.12 dated 2026-03-13

Title: Double Machine Learning for Static Panel Models with Fixed Effects
Description: The 'xtdml' package implements partially linear panel regression (PLPR) models with high-dimensional confounding variables and an exogenous treatment variable within the double machine learning framework. The package is used to estimate the structural parameter (treatment effect) in static panel data models with fixed effects using the approaches established in Clarke and Polselli (2025) <doi:10.1093/ectj/utaf011>. 'xtdml' follows the object-oriented architecture of 'DoubleML' (Bach et al., 2024) <doi:10.18637/jss.v108.i03> and uses the 'mlr3' ecosystem.
Author: Annalivia Polselli [aut, cre]
Maintainer: Annalivia Polselli <apolselli.econ@gmail.com>

Diff between xtdml versions 0.1.12 dated 2026-03-13 and 0.1.13 dated 2026-09-01

 DESCRIPTION           |   20 
 MD5                   |   32 
 NAMESPACE             |   97 -
 R/dataset.R           |  247 ++-
 R/helper.R            |   68 +
 R/xtdml_data.R        |   97 +
 R/xtdml_main.R        | 3260 +++++++++++++++++++++++++-------------------------
 R/xtdml_plr.R         |   28 
 R/zzz.R               |    6 
 README.md             |   26 
 man/make_plpr_data.Rd |  143 +-
 man/xtdml.Rd          |  550 ++++----
 man/xtdml_data.Rd     |  193 +-
 man/xtdml_plr.Rd      |  226 +--
 tests                 |only
 15 files changed, 2673 insertions(+), 2320 deletions(-)

More information about xtdml at CRAN
Permanent link

Package shiftR updated to version 1.6 with previous version 1.5 dated 2019-03-22

Title: Fast Enrichment Analysis via Circular Permutations
Description: Fast enrichment analysis for locally correlated statistics via circular permutations. The analysis can be performed at multiple significance thresholds for both primary and auxiliary data sets with efficient correction for multiple testing.
Author: Andrey A Shabalin [aut, cre] , Edwin J C G van den Oord [aut]
Maintainer: Andrey A Shabalin <andrey.shabalin@gmail.com>

Diff between shiftR versions 1.5 dated 2019-03-22 and 1.6 dated 2026-09-01

 DESCRIPTION          |   11 
 MD5                  |   14 
 R/binary.R           |    8 
 build/vignette.rds   |binary
 inst/doc/intro.R     |   12 
 inst/doc/intro.html  |  742 +++++++++++++++++++++++++++++++--------------------
 man/shiftrPrepare.Rd |    2 
 src/c_code.c         |   16 -
 8 files changed, 494 insertions(+), 311 deletions(-)

More information about shiftR at CRAN
Permanent link

Package rush updated to version 1.3.0 with previous version 1.2.1 dated 2026-07-24

Title: Rapid Asynchronous and Distributed Computing
Description: Package to tackle large-scale problems asynchronously across a distributed network. Employing a database centric model, rush enables workers to communicate tasks and their results over a shared 'Redis' database. Key features include low task overhead, efficient caching, and robust error handling. The package powers the asynchronous optimization algorithms in the 'bbotk' and 'mlr3tuning' packages.
Author: Marc Becker [cre, aut, cph]
Maintainer: Marc Becker <marcbecker@posteo.de>

Diff between rush versions 1.2.1 dated 2026-07-24 and 1.3.0 dated 2026-09-01

 DESCRIPTION                        |    8 -
 MD5                                |   38 ++---
 NAMESPACE                          |    1 
 NEWS.md                            |    5 
 R/Rush.R                           |  248 +++++++++++++++++++++++++++++--------
 R/RushWorker.R                     |   69 ++++++++--
 R/assertions.R                     |   21 +++
 R/rush_plan.R                      |   12 +
 R/start_worker.R                   |   16 ++
 inst/testthat/helper.R             |   21 +++
 man/Rush.Rd                        |   68 +++++++++-
 man/RushWorker.Rd                  |   19 ++
 man/rush_assertions.Rd             |    8 +
 man/rush_plan.Rd                   |   11 +
 man/start_worker.Rd                |    8 +
 tests/testthat/helper.R            |   19 ++
 tests/testthat/test-Rush.R         |  173 +++++++++++++++++++++++++
 tests/testthat/test-RushWorker.R   |   57 ++++++++
 tests/testthat/test-rush_plan.R    |   31 ++++
 tests/testthat/test-start_worker.R |   13 +
 20 files changed, 753 insertions(+), 93 deletions(-)

More information about rush at CRAN
Permanent link

Package inshiny updated to version 0.1.5 with previous version 0.1.4 dated 2026-03-31

Title: Compact Inline Widgets for 'shiny' Apps
Description: Provides a basic set of compact widgets for 'shiny' apps which occupy less space and can appear inline with surrounding text.
Author: Nick Davies [aut, cre]
Maintainer: Nick Davies <nicholas.davies@lshtm.ac.uk>

Diff between inshiny versions 0.1.4 dated 2026-03-31 and 0.1.5 dated 2026-09-01

 DESCRIPTION                     |   11 
 MD5                             |   59 +-
 NEWS.md                         |   25 +
 R/check.R                       |    4 
 R/helper.R                      |   28 +
 R/number.R                      |    4 
 R/select.R                      |   36 +
 R/text.R                        |    9 
 R/update.R                      |   34 +
 README.md                       |    3 
 build/vignette.rds              |binary
 inst/doc/inshiny.Rmd            |   16 
 inst/doc/inshiny.html           |   25 -
 inst/www/inshiny/inshiny.css    |   18 
 inst/www/inshiny/inshiny.js     |  974 ++++++++++++++++++++++------------------
 man/inline.Rd                   |    6 
 man/inline_link.Rd              |    4 
 man/inline_switch.Rd            |    2 
 man/inshiny-package.Rd          |    5 
 tests/testthat/_snaps/check.md  |    4 
 tests/testthat/_snaps/number.md |    4 
 tests/testthat/_snaps/select.md |    8 
 tests/testthat/_snaps/update.md |   83 ++-
 tests/testthat/apps             |only
 tests/testthat/helper.R         |    3 
 tests/testthat/test-dynamic.R   |only
 tests/testthat/test-helper.R    |   11 
 tests/testthat/test-text.R      |    8 
 tests/testthat/test-update.R    |   19 
 vignettes/images/vignette_3.jpg |only
 vignettes/inshiny.Rmd           |   16 
 31 files changed, 896 insertions(+), 523 deletions(-)

More information about inshiny at CRAN
Permanent link

Package LUCIDus updated to version 3.2.0 with previous version 3.1.0 dated 2026-03-11

Title: LUCID with Multiple Omics Data
Description: Implements Latent Unknown Clusters By Integrating Multi-omics Data (LUCID; Peng (2019) <doi:10.1093/bioinformatics/btz667>) for integrative clustering with exposures, multi-omics data, and health outcomes. Supports three integration strategies: early, parallel, and serial. Provides model fitting and tuning, lasso-type regularization for exposure and omics feature selection, handling of missing data, including both sporadic and complete-case patterns, prediction, and g-computation for estimating causal effects of exposures, bootstrap inference for uncertainty estimation, and S3 summary and plot methods. For the multi-omics integration framework, see Jia (2024) <https://journal.r-project.org/articles/RJ-2024-012/RJ-2024-012.pdf>. For the missing-data imputation mechanism, see Jia (2024) <doi:10.1093/bioadv/vbae123>.
Author: Qiran Jia [aut, cre] , Yinqi Zhao [aut] , David Conti [ths] , Jesse Goodrich [ctb]
Maintainer: Qiran Jia <qiranjia@usc.edu>

Diff between LUCIDus versions 3.1.0 dated 2026-03-11 and 3.2.0 dated 2026-09-01

 LUCIDus-3.1.0/LUCIDus/R/00_stability_preload.R                              |only
 LUCIDus-3.1.0/LUCIDus/R/EM_all.R                                            |only
 LUCIDus-3.1.0/LUCIDus/R/early_estep.R                                       |only
 LUCIDus-3.1.0/LUCIDus/R/early_mstep.R                                       |only
 LUCIDus-3.1.0/LUCIDus/R/em.R                                                |only
 LUCIDus-3.1.0/LUCIDus/R/missing.R                                           |only
 LUCIDus-3.1.0/LUCIDus/R/missing_utils.R                                     |only
 LUCIDus-3.1.0/LUCIDus/R/pred_lucid.R                                        |only
 LUCIDus-3.1.0/LUCIDus/R/predict_lucid_all.R                                 |only
 LUCIDus-3.1.0/LUCIDus/R/summary_auxi_fxn_serial.R                           |only
 LUCIDus-3.1.0/LUCIDus/R/utility.R                                           |only
 LUCIDus-3.1.0/LUCIDus/R/utils.R                                             |only
 LUCIDus-3.1.0/LUCIDus/inst/tutorials                                        |only
 LUCIDus-3.1.0/LUCIDus/man/Istep_Z.Rd                                        |only
 LUCIDus-3.1.0/LUCIDus/man/check_and_stabilize_sigma.Rd                      |only
 LUCIDus-3.1.0/LUCIDus/man/check_convergence.Rd                              |only
 LUCIDus-3.1.0/LUCIDus/man/fill_data.Rd                                      |only
 LUCIDus-3.1.0/LUCIDus/man/gen_ci.Rd                                         |only
 LUCIDus-3.1.0/LUCIDus/man/plot.Rd                                           |only
 LUCIDus-3.1.0/LUCIDus/man/safe_log_sum_exp.Rd                               |only
 LUCIDus-3.1.0/LUCIDus/man/safe_normalize.Rd                                 |only
 LUCIDus-3.1.0/LUCIDus/man/safe_solve.Rd                                     |only
 LUCIDus-3.1.0/LUCIDus/man/summarize_missing_stats.Rd                        |only
 LUCIDus-3.2.0/LUCIDus/DESCRIPTION                                           |   11 
 LUCIDus-3.2.0/LUCIDus/MD5                                                   |  250 +-
 LUCIDus-3.2.0/LUCIDus/NAMESPACE                                             |   17 
 LUCIDus-3.2.0/LUCIDus/NEWS.md                                               |only
 LUCIDus-3.2.0/LUCIDus/R/boot_lucid.R                                        |  493 ++++
 LUCIDus-3.2.0/LUCIDus/R/data.R                                              |   75 
 LUCIDus-3.2.0/LUCIDus/R/density_helpers.R                                   |only
 LUCIDus-3.2.0/LUCIDus/R/early_integration_em.R                              |only
 LUCIDus-3.2.0/LUCIDus/R/early_integration_family.R                          |only
 LUCIDus-3.2.0/LUCIDus/R/em_utils.R                                          |only
 LUCIDus-3.2.0/LUCIDus/R/estimate_lucid.R                                    |only
 LUCIDus-3.2.0/LUCIDus/R/g_computation_utility.R                             |  114 -
 LUCIDus-3.2.0/LUCIDus/R/input_validation.R                                  |only
 LUCIDus-3.2.0/LUCIDus/R/lucid.R                                             |   84 
 LUCIDus-3.2.0/LUCIDus/R/missing_data_diagnostics.R                          |only
 LUCIDus-3.2.0/LUCIDus/R/missing_data_em.R                                   |only
 LUCIDus-3.2.0/LUCIDus/R/model_extractors.R                                  |only
 LUCIDus-3.2.0/LUCIDus/R/outcome_utils.R                                     |only
 LUCIDus-3.2.0/LUCIDus/R/parallel_estep.R                                    |  394 ---
 LUCIDus-3.2.0/LUCIDus/R/parallel_mstep.R                                    |  547 +----
 LUCIDus-3.2.0/LUCIDus/R/plot_cluster_omic_profile.R                         |only
 LUCIDus-3.2.0/LUCIDus/R/plot_lucid.R                                        |  210 --
 LUCIDus-3.2.0/LUCIDus/R/predict_lucid.R                                     |only
 LUCIDus-3.2.0/LUCIDus/R/stability_utils.R                                   |  288 ++
 LUCIDus-3.2.0/LUCIDus/R/summary.R                                           | 1024 +++-------
 LUCIDus-3.2.0/LUCIDus/R/tune_lucid.R                                        |  176 +
 LUCIDus-3.2.0/LUCIDus/build                                                 |only
 LUCIDus-3.2.0/LUCIDus/inst/doc                                              |only
 LUCIDus-3.2.0/LUCIDus/man/analyze_missing_pattern.Rd                        |   40 
 LUCIDus-3.2.0/LUCIDus/man/boot_lucid.Rd                                     |   43 
 LUCIDus-3.2.0/LUCIDus/man/check_imputation_quality.Rd                       |   55 
 LUCIDus-3.2.0/LUCIDus/man/check_na.Rd                                       |   57 
 LUCIDus-3.2.0/LUCIDus/man/estimate_lucid.Rd                                 |  175 +
 LUCIDus-3.2.0/LUCIDus/man/figures                                           |only
 LUCIDus-3.2.0/LUCIDus/man/get_cluster_assignment.Rd                         |only
 LUCIDus-3.2.0/LUCIDus/man/get_selected_G.Rd                                 |only
 LUCIDus-3.2.0/LUCIDus/man/get_selected_Z.Rd                                 |only
 LUCIDus-3.2.0/LUCIDus/man/get_top_omics_features.Rd                         |only
 LUCIDus-3.2.0/LUCIDus/man/lucid.Rd                                          |   38 
 LUCIDus-3.2.0/LUCIDus/man/plot.early_lucid.Rd                               |only
 LUCIDus-3.2.0/LUCIDus/man/plot.lucid_parallel.Rd                            |only
 LUCIDus-3.2.0/LUCIDus/man/plot.lucid_serial.Rd                              |only
 LUCIDus-3.2.0/LUCIDus/man/plot_cluster_omic_profile.Rd                      |only
 LUCIDus-3.2.0/LUCIDus/man/predict_lucid.Rd                                  |   79 
 LUCIDus-3.2.0/LUCIDus/man/print.sumlucid_early.Rd                           |   12 
 LUCIDus-3.2.0/LUCIDus/man/print.sumlucid_parallel.Rd                        |   11 
 LUCIDus-3.2.0/LUCIDus/man/print.sumlucid_serial.Rd                          |    7 
 LUCIDus-3.2.0/LUCIDus/man/safe_impute.Rd                                    |   47 
 LUCIDus-3.2.0/LUCIDus/man/sim_data.Rd                                       |   33 
 LUCIDus-3.2.0/LUCIDus/man/simulated_HELIX_data.Rd                           |   32 
 LUCIDus-3.2.0/LUCIDus/man/summary.lucid_parallel.Rd                         |   10 
 LUCIDus-3.2.0/LUCIDus/man/summary.lucid_serial.Rd                           |   28 
 LUCIDus-3.2.0/LUCIDus/man/summary_lucid.Rd                                  |   67 
 LUCIDus-3.2.0/LUCIDus/man/tune_lucid.Rd                                     |   30 
 LUCIDus-3.2.0/LUCIDus/tests/testthat.R                                      |    4 
 LUCIDus-3.2.0/LUCIDus/tests/testthat/helper-oracle.R                        |only
 LUCIDus-3.2.0/LUCIDus/tests/testthat/helper-sim.R                           |only
 LUCIDus-3.2.0/LUCIDus/tests/testthat/test-Serial-binary-missing.R           |    7 
 LUCIDus-3.2.0/LUCIDus/tests/testthat/test-Serial-binary-summary.R           |    3 
 LUCIDus-3.2.0/LUCIDus/tests/testthat/test-Serial-normal-missing.R           |    9 
 LUCIDus-3.2.0/LUCIDus/tests/testthat/test-accuracy-ci-coverage.R            |only
 LUCIDus-3.2.0/LUCIDus/tests/testthat/test-accuracy-imputation.R             |only
 LUCIDus-3.2.0/LUCIDus/tests/testthat/test-accuracy-recovery.R               |only
 LUCIDus-3.2.0/LUCIDus/tests/testthat/test-accuracy-selection.R              |only
 LUCIDus-3.2.0/LUCIDus/tests/testthat/test-boot-lucid-early.R                |    2 
 LUCIDus-3.2.0/LUCIDus/tests/testthat/test-boot-lucid-parallel.R             |    8 
 LUCIDus-3.2.0/LUCIDus/tests/testthat/test-boot-lucid-qc.R                   |only
 LUCIDus-3.2.0/LUCIDus/tests/testthat/test-boot-lucid-serial.R               |    2 
 LUCIDus-3.2.0/LUCIDus/tests/testthat/test-check-K-validation.R              |only
 LUCIDus-3.2.0/LUCIDus/tests/testthat/test-convergence-monotonicity.R        |only
 LUCIDus-3.2.0/LUCIDus/tests/testthat/test-defect-init-model-null.R          |only
 LUCIDus-3.2.0/LUCIDus/tests/testthat/test-defect-regressions.R              |only
 LUCIDus-3.2.0/LUCIDus/tests/testthat/test-early-robustness.R                |    4 
 LUCIDus-3.2.0/LUCIDus/tests/testthat/test-g_comp-binary-3-layers.R          |    6 
 LUCIDus-3.2.0/LUCIDus/tests/testthat/test-gcomp-binary-1-layer.R            |    3 
 LUCIDus-3.2.0/LUCIDus/tests/testthat/test-gcomp-early-parallel-contract.R   |    9 
 LUCIDus-3.2.0/LUCIDus/tests/testthat/test-gcomp-serial-normal-5-layers.R    |    3 
 LUCIDus-3.2.0/LUCIDus/tests/testthat/test-grid-fit-sanity.R                 |only
 LUCIDus-3.2.0/LUCIDus/tests/testthat/test-grid-missingness-invariants.R     |only
 LUCIDus-3.2.0/LUCIDus/tests/testthat/test-grid-predict-modes.R              |only
 LUCIDus-3.2.0/LUCIDus/tests/testthat/test-invalid-input.R                   |only
 LUCIDus-3.2.0/LUCIDus/tests/testthat/test-label-switching.R                 |only
 LUCIDus-3.2.0/LUCIDus/tests/testthat/test-lucid-binary-1-layer.R            |    6 
 LUCIDus-3.2.0/LUCIDus/tests/testthat/test-lucid-binary-3-layers.R           |    6 
 LUCIDus-3.2.0/LUCIDus/tests/testthat/test-lucid-binary-5-layers.R           |    8 
 LUCIDus-3.2.0/LUCIDus/tests/testthat/test-lucid-model-default.R             |only
 LUCIDus-3.2.0/LUCIDus/tests/testthat/test-lucid-normal-1-layer.R            |    6 
 LUCIDus-3.2.0/LUCIDus/tests/testthat/test-lucid-normal-3-layers.R           |    7 
 LUCIDus-3.2.0/LUCIDus/tests/testthat/test-lucid-normal-5-layers.R           |   33 
 LUCIDus-3.2.0/LUCIDus/tests/testthat/test-missing-binary-1-layer.R          |    8 
 LUCIDus-3.2.0/LUCIDus/tests/testthat/test-missing-binary-5-layers.R         |    9 
 LUCIDus-3.2.0/LUCIDus/tests/testthat/test-missing-data-mechanism.R          |only
 LUCIDus-3.2.0/LUCIDus/tests/testthat/test-missing-normal-1-layers.R         |    8 
 LUCIDus-3.2.0/LUCIDus/tests/testthat/test-missing-normal-3-layers.R         |   38 
 LUCIDus-3.2.0/LUCIDus/tests/testthat/test-model-extractors.R                |only
 LUCIDus-3.2.0/LUCIDus/tests/testthat/test-outcome-integration-regressions.R |only
 LUCIDus-3.2.0/LUCIDus/tests/testthat/test-outcome-parameterization.R        |only
 LUCIDus-3.2.0/LUCIDus/tests/testthat/test-paper-equations-oracle.R          |only
 LUCIDus-3.2.0/LUCIDus/tests/testthat/test-paper-likelihood-bic.R            |only
 LUCIDus-3.2.0/LUCIDus/tests/testthat/test-paper-missing-equation17.R        |only
 LUCIDus-3.2.0/LUCIDus/tests/testthat/test-paper-outcome-mstep.R             |only
 LUCIDus-3.2.0/LUCIDus/tests/testthat/test-paper-parallel-arbitrary-layers.R |only
 LUCIDus-3.2.0/LUCIDus/tests/testthat/test-paper-simulation-recovery.R       |only
 LUCIDus-3.2.0/LUCIDus/tests/testthat/test-parallel-p0-regressions.R         |   21 
 LUCIDus-3.2.0/LUCIDus/tests/testthat/test-parallel-robustness-extra.R       |   11 
 LUCIDus-3.2.0/LUCIDus/tests/testthat/test-parallel-selection-impute.R       |    3 
 LUCIDus-3.2.0/LUCIDus/tests/testthat/test-plot-cluster-omic-profile.R       |only
 LUCIDus-3.2.0/LUCIDus/tests/testthat/test-plot-profile-generalizability.R   |only
 LUCIDus-3.2.0/LUCIDus/tests/testthat/test-plot_lucid_1_layer.R              |   15 
 LUCIDus-3.2.0/LUCIDus/tests/testthat/test-predict-argument-modes.R          |only
 LUCIDus-3.2.0/LUCIDus/tests/testthat/test-predict-binary-1-layer.R          |    3 
 LUCIDus-3.2.0/LUCIDus/tests/testthat/test-predict-binary-3-layers.R         |    6 
 LUCIDus-3.2.0/LUCIDus/tests/testthat/test-predict-binary-5-layers.R         |    3 
 LUCIDus-3.2.0/LUCIDus/tests/testthat/test-predict-normal-5-layers.R         |    8 
 LUCIDus-3.2.0/LUCIDus/tests/testthat/test-predict-serial-binary-5-layers.R  |    3 
 LUCIDus-3.2.0/LUCIDus/tests/testthat/test-predict-serial-normal-5-layers.R  |    3 
 LUCIDus-3.2.0/LUCIDus/tests/testthat/test-predict_normal_1_layer.R          |    3 
 LUCIDus-3.2.0/LUCIDus/tests/testthat/test-serial-6stage-parallel-smoke.R    |    3 
 LUCIDus-3.2.0/LUCIDus/tests/testthat/test-serial-em-control.R               |only
 LUCIDus-3.2.0/LUCIDus/tests/testthat/test-serial-fit-missing-robustness.R   |    3 
 LUCIDus-3.2.0/LUCIDus/tests/testthat/test-serial-reproducibility.R          |only
 LUCIDus-3.2.0/LUCIDus/tests/testthat/test-serial-select-and-likelihood.R    |only
 LUCIDus-3.2.0/LUCIDus/tests/testthat/test-serial-summary-shape.R            |only
 LUCIDus-3.2.0/LUCIDus/tests/testthat/test-summart-binary-5-layers.R         |    3 
 LUCIDus-3.2.0/LUCIDus/tests/testthat/test-summary-missing-profile.R         |    1 
 LUCIDus-3.2.0/LUCIDus/tests/testthat/test-summary-normal-5-layers.R         |    3 
 LUCIDus-3.2.0/LUCIDus/tests/testthat/test-summary-output-correctness.R      |only
 LUCIDus-3.2.0/LUCIDus/tests/testthat/test-summary-significance-stars.R      |only
 LUCIDus-3.2.0/LUCIDus/tests/testthat/test-tune-Serial-binary.R              |    2 
 LUCIDus-3.2.0/LUCIDus/tests/testthat/test-tune-Serial-normal.R              |    2 
 LUCIDus-3.2.0/LUCIDus/tests/testthat/test-tune-binary-2-layers.R            |    2 
 LUCIDus-3.2.0/LUCIDus/tests/testthat/test-tune-lucid-serial-robustness.R    |only
 LUCIDus-3.2.0/LUCIDus/tests/testthat/test-tune-normal-2-layers.R            |    2 
 LUCIDus-3.2.0/LUCIDus/tests/testthat/test-tune-penalty-fail-guard.R         |    2 
 LUCIDus-3.2.0/LUCIDus/tests/testthat/test-tuning-verbose.R                  |only
 LUCIDus-3.2.0/LUCIDus/tests/testthat/test-verbose-fit-logging.R             |   64 
 LUCIDus-3.2.0/LUCIDus/vignettes                                             |only
 160 files changed, 2634 insertions(+), 2168 deletions(-)

More information about LUCIDus at CRAN
Permanent link

Package grmtree updated to version 0.3.0 with previous version 0.2.2 dated 2026-08-22

Title: Recursive Partitioning for Graded Response Models
Description: Provides methods for recursive partitioning based on the 'Graded Response Model' ('GRM'), extending the 'MOB' algorithm from the 'partykit' package. The package allows for fitting 'GRM' trees that partition the population into homogeneous subgroups based on item response patterns and covariates. Includes specialized plotting functions for visualizing 'GRM' trees with different terminal node displays (threshold regions, parameter profiles, and factor score distributions). The package also implements the Longitudinal GRMTree for detecting response shift in PROMs measured at two time points, embedding a constrained two-factor longitudinal GRM within recursive partitioning, with post-hoc characterization of recalibration and reprioritization. Random-forest ensembles (`grmforest()`) with permutation variable importance are available for both the cross-sectional and longitudinal trees. For more details on the methods, see Samejima (1969) <doi:10.1002/J.2333-8504.1968.TB00153.X>, Komboz [...truncated...]
Author: Olayinka I. Arimoro [aut, cre] , Tolulope T. Sajobi [aut], Lisa M. Lix [aut], Matthew T. James [ctb], Maria Santana [ctb], Emmanuel Ugochukwu [ctb]
Maintainer: Olayinka I. Arimoro <olayinka.arimoro@ucalgary.ca>

Diff between grmtree versions 0.2.2 dated 2026-08-22 and 0.3.0 dated 2026-09-01

 DESCRIPTION                            |   13 ++-
 MD5                                    |   42 ++++++------
 NAMESPACE                              |    1 
 NEWS.md                                |   20 +++++-
 R/grmforest-varimp-final.R             |   17 ++++-
 R/grmforest.R                          |  108 +++++++++++++++++++++++++++++----
 R/longitudinal_grmtree.R               |   57 +++++++++--------
 README.md                              |   22 ++++++
 inst/doc/GRMForest-implementation.R    |    2 
 inst/doc/GRMForest-implementation.Rmd  |    6 -
 inst/doc/GRMForest-implementation.html |    8 +-
 inst/doc/longitudinal-grmtree.R        |   37 +++++++++++
 inst/doc/longitudinal-grmtree.Rmd      |   80 +++++++++++++++++++++++-
 inst/doc/longitudinal-grmtree.html     |   85 +++++++++++++++++++++++--
 man/grmforest.Rd                       |   41 +++++++++++-
 man/longitudinal_grmfit.Rd             |   26 ++++---
 man/longitudinal_grmtree.Rd            |    3 
 man/varimp.Rd                          |   15 ++++
 tests/testthat/test-grmforest.R        |   24 +++++++
 tests/testthat/test-varimp.R           |   24 +++++++
 vignettes/GRMForest-implementation.Rmd |    6 -
 vignettes/longitudinal-grmtree.Rmd     |   80 +++++++++++++++++++++++-
 22 files changed, 608 insertions(+), 109 deletions(-)

More information about grmtree at CRAN
Permanent link

Package MazamaRollUtils updated to version 1.1.0 with previous version 1.0.0 dated 2026-03-17

Title: Efficient Rolling Functions
Description: Fast rolling-window functions for numeric vectors. Designed for efficient processing of environmental time-series data.
Author: Jonathan Callahan [aut, cre], Hans Martin [aut]
Maintainer: Jonathan Callahan <jonathan.s.callahan@gmail.com>

Diff between MazamaRollUtils versions 1.0.0 dated 2026-03-17 and 1.1.0 dated 2026-09-01

 MazamaRollUtils-1.0.0/MazamaRollUtils/tests/testthat/test-roll_mean-weights.R.R |only
 MazamaRollUtils-1.1.0/MazamaRollUtils/DESCRIPTION                               |    6 
 MazamaRollUtils-1.1.0/MazamaRollUtils/MD5                                       |   58 +-
 MazamaRollUtils-1.1.0/MazamaRollUtils/NAMESPACE                                 |   14 
 MazamaRollUtils-1.1.0/MazamaRollUtils/NEWS.md                                   |   16 
 MazamaRollUtils-1.1.0/MazamaRollUtils/R/MazamaRollUtils-package.R               |only
 MazamaRollUtils-1.1.0/MazamaRollUtils/R/MazamaRollUtils.R                       |  217 +++++++++-
 MazamaRollUtils-1.1.0/MazamaRollUtils/R/findOutliers.R                          |    7 
 MazamaRollUtils-1.1.0/MazamaRollUtils/README.md                                 |  126 +++--
 MazamaRollUtils-1.1.0/MazamaRollUtils/inst/doc/MazamaRollUtils.Rmd              |   19 
 MazamaRollUtils-1.1.0/MazamaRollUtils/inst/doc/MazamaRollUtils.html             |   27 -
 MazamaRollUtils-1.1.0/MazamaRollUtils/man/MazamaRollUtils-package.Rd            |   32 +
 MazamaRollUtils-1.1.0/MazamaRollUtils/man/findOutliers.Rd                       |    5 
 MazamaRollUtils-1.1.0/MazamaRollUtils/man/roll_MAD.Rd                           |   16 
 MazamaRollUtils-1.1.0/MazamaRollUtils/man/roll_hampel.Rd                        |   17 
 MazamaRollUtils-1.1.0/MazamaRollUtils/man/roll_max.Rd                           |   10 
 MazamaRollUtils-1.1.0/MazamaRollUtils/man/roll_mean.Rd                          |   10 
 MazamaRollUtils-1.1.0/MazamaRollUtils/man/roll_median.Rd                        |   10 
 MazamaRollUtils-1.1.0/MazamaRollUtils/man/roll_min.Rd                           |   10 
 MazamaRollUtils-1.1.0/MazamaRollUtils/man/roll_nowcast.Rd                       |    5 
 MazamaRollUtils-1.1.0/MazamaRollUtils/man/roll_prod.Rd                          |   10 
 MazamaRollUtils-1.1.0/MazamaRollUtils/man/roll_sd.Rd                            |    1 
 MazamaRollUtils-1.1.0/MazamaRollUtils/man/roll_sum.Rd                           |   10 
 MazamaRollUtils-1.1.0/MazamaRollUtils/man/roll_var.Rd                           |    1 
 MazamaRollUtils-1.1.0/MazamaRollUtils/src/MazamaRollUtils.cpp                   |    9 
 MazamaRollUtils-1.1.0/MazamaRollUtils/src/roll_nowcast.cpp                      |    7 
 MazamaRollUtils-1.1.0/MazamaRollUtils/tests/testthat/test-common-na-rm.R        |   24 -
 MazamaRollUtils-1.1.0/MazamaRollUtils/tests/testthat/test-compat-zoo.R          |   24 +
 MazamaRollUtils-1.1.0/MazamaRollUtils/tests/testthat/test-min-valid.R           |only
 MazamaRollUtils-1.1.0/MazamaRollUtils/tests/testthat/test-roll_mean-weights.R   |only
 MazamaRollUtils-1.1.0/MazamaRollUtils/tests/testthat/test-roll_nowcast.R        |   15 
 MazamaRollUtils-1.1.0/MazamaRollUtils/vignettes/MazamaRollUtils.Rmd             |   19 
 32 files changed, 552 insertions(+), 173 deletions(-)

More information about MazamaRollUtils at CRAN
Permanent link

Package kstMatrix updated to version 3.0-0 with previous version 2.3-4 dated 2026-07-15

Title: Basic Functions in Knowledge Space Theory Using Matrix Representation
Description: Knowledge space theory by Doignon and Falmagne (1999) <doi:10.1007/978-3-642-58625-5> is a set- and order-theoretical framework, which proposes mathematical formalisms to operationalize knowledge structures in a particular domain. The 'kstMatrix' package provides basic functionalities to generate, handle, and manipulate knowledge structures and knowledge spaces. Opposed to the 'kst' package, 'kstMatrix' uses matrix representations for knowledge structures. Furthermore, 'kstMatrix' contains several knowledge spaces obtained in the 1990s by the research group around Cornelia Dowling through querying experts.
Author: Cord Hockemeyer [aut, cre], Peter Steiner [aut], Wai Wong [aut]
Maintainer: Cord Hockemeyer <cord.hockemeyer@uni-graz.at>

Diff between kstMatrix versions 2.3-4 dated 2026-07-15 and 3.0-0 dated 2026-09-01

 kstMatrix-2.3-4/kstMatrix/R/kmSF2basis.R                       |only
 kstMatrix-2.3-4/kstMatrix/R/kmSR2basis.R                       |only
 kstMatrix-2.3-4/kstMatrix/R/kmunionclosure.kmdata.R            |only
 kstMatrix-2.3-4/kstMatrix/R/kmunionclosure.kmfamset.R          |only
 kstMatrix-2.3-4/kstMatrix/R/kmunionclosure.kmstructure.R       |only
 kstMatrix-2.3-4/kstMatrix/man/kmnneighbourhood.Rd              |only
 kstMatrix-2.3-4/kstMatrix/vignettes/kstMatrixClasses.png       |only
 kstMatrix-3.0-0/kstMatrix/Changelog                            |   20 
 kstMatrix-3.0-0/kstMatrix/DESCRIPTION                          |   18 
 kstMatrix-3.0-0/kstMatrix/MD5                                  |  250 +-
 kstMatrix-3.0-0/kstMatrix/NAMESPACE                            |   86 
 kstMatrix-3.0-0/kstMatrix/R/Deprecated.R                       |only
 kstMatrix-3.0-0/kstMatrix/R/binarymatrixproduct.R              |only
 kstMatrix-3.0-0/kstMatrix/R/cad.R                              |   61 
 kstMatrix-3.0-0/kstMatrix/R/fractions.R                        |   53 
 kstMatrix-3.0-0/kstMatrix/R/kmassess.R                         |    2 
 kstMatrix-3.0-0/kstMatrix/R/kmassessbayesian.R                 |    2 
 kstMatrix-3.0-0/kstMatrix/R/kmassesshalfsplit.R                |    2 
 kstMatrix-3.0-0/kstMatrix/R/kmassessinformative.R              |    4 
 kstMatrix-3.0-0/kstMatrix/R/kmassessmultiplicative.R           |    2 
 kstMatrix-3.0-0/kstMatrix/R/kmassesssimulation.R               |    2 
 kstMatrix-3.0-0/kstMatrix/R/kmbasis.R                          |   14 
 kstMatrix-3.0-0/kstMatrix/R/kmbasis.kmsurmisefunction.R        |   10 
 kstMatrix-3.0-0/kstMatrix/R/kmbasis.kmsurmiserelation.R        |    5 
 kstMatrix-3.0-0/kstMatrix/R/kmbasis.matrix.R                   |    4 
 kstMatrix-3.0-0/kstMatrix/R/kmbasisfringe.R                    |    2 
 kstMatrix-3.0-0/kstMatrix/R/kmbasisneighbourhood.R             |    2 
 kstMatrix-3.0-0/kstMatrix/R/kmclosure.R                        |only
 kstMatrix-3.0-0/kstMatrix/R/kmclosure.kmattributionfunction.R  |only
 kstMatrix-3.0-0/kstMatrix/R/kmclosure.kmattributionrelation.R  |only
 kstMatrix-3.0-0/kstMatrix/R/kmclosure.kmdata.R                 |only
 kstMatrix-3.0-0/kstMatrix/R/kmclosure.kmfamset.R               |only
 kstMatrix-3.0-0/kstMatrix/R/kmcolors.R                         |    3 
 kstMatrix-3.0-0/kstMatrix/R/kmdist.R                           |    2 
 kstMatrix-3.0-0/kstMatrix/R/kmdoubleequal.R                    |    1 
 kstMatrix-3.0-0/kstMatrix/R/kmeqreduction.R                    |   21 
 kstMatrix-3.0-0/kstMatrix/R/kmexpand.R                         |only
 kstMatrix-3.0-0/kstMatrix/R/kmfringe.R                         |    2 
 kstMatrix-3.0-0/kstMatrix/R/kmgenerate.R                       |    2 
 kstMatrix-3.0-0/kstMatrix/R/kmgradations.R                     |    2 
 kstMatrix-3.0-0/kstMatrix/R/kmheights.R                        |only
 kstMatrix-3.0-0/kstMatrix/R/kmiita2SR.R                        |   66 
 kstMatrix-3.0-0/kstMatrix/R/kmintersection.R                   |only
 kstMatrix-3.0-0/kstMatrix/R/kmintersection.kmqspace.R          |only
 kstMatrix-3.0-0/kstMatrix/R/kmintersection.kmspace.R           |only
 kstMatrix-3.0-0/kstMatrix/R/kmintersection.kmsurmisefunction.R |only
 kstMatrix-3.0-0/kstMatrix/R/kmintersection.kmsurmiserelation.R |only
 kstMatrix-3.0-0/kstMatrix/R/kmintersectionclosure.R            |only
 kstMatrix-3.0-0/kstMatrix/R/kmiswellgraded.R                   |   41 
 kstMatrix-3.0-0/kstMatrix/R/kmlearningpathmatrices.R           |only
 kstMatrix-3.0-0/kstMatrix/R/kmlearningpaths.R                  |   74 
 kstMatrix-3.0-0/kstMatrix/R/kmmesh.R                           |only
 kstMatrix-3.0-0/kstMatrix/R/kmneighbourhood.R                  |    5 
 kstMatrix-3.0-0/kstMatrix/R/kmnotions.R                        |    1 
 kstMatrix-3.0-0/kstMatrix/R/kmprettyprint.R                    |only
 kstMatrix-3.0-0/kstMatrix/R/kmqspace.R                         |only
 kstMatrix-3.0-0/kstMatrix/R/kmqspace.kmfamset.R                |only
 kstMatrix-3.0-0/kstMatrix/R/kmqspace.kmsurmisefunction.R       |only
 kstMatrix-3.0-0/kstMatrix/R/kmqspace.kmsurmiserelation.R       |only
 kstMatrix-3.0-0/kstMatrix/R/kmrefine.R                         |only
 kstMatrix-3.0-0/kstMatrix/R/kmsassess.R                        |    2 
 kstMatrix-3.0-0/kstMatrix/R/kmsimulate.R                       |    2 
 kstMatrix-3.0-0/kstMatrix/R/kmspace.R                          |   15 
 kstMatrix-3.0-0/kstMatrix/R/kmspace.kmdata.R                   |only
 kstMatrix-3.0-0/kstMatrix/R/kmspace.kmfamset.R                 |only
 kstMatrix-3.0-0/kstMatrix/R/kmspace.kmsurmisefunction.R        |only
 kstMatrix-3.0-0/kstMatrix/R/kmspace.kmsurmiserelation.R        |only
 kstMatrix-3.0-0/kstMatrix/R/kmsrvalidate.R                     |    2 
 kstMatrix-3.0-0/kstMatrix/R/kmsubstructure.R                   |only
 kstMatrix-3.0-0/kstMatrix/R/kmsurmisefunction.R                |    9 
 kstMatrix-3.0-0/kstMatrix/R/kmsurmiserelation.R                |    4 
 kstMatrix-3.0-0/kstMatrix/R/kmtrivial.R                        |    7 
 kstMatrix-3.0-0/kstMatrix/R/kmunion.R                          |only
 kstMatrix-3.0-0/kstMatrix/R/kmunion.famset.R                   |only
 kstMatrix-3.0-0/kstMatrix/R/kmunion.kmbasis.R                  |only
 kstMatrix-3.0-0/kstMatrix/R/kmunion.kmspace.R                  |only
 kstMatrix-3.0-0/kstMatrix/R/kmunion.kmstructure.R              |only
 kstMatrix-3.0-0/kstMatrix/R/kmunion.kmsurmisefunction.R        |only
 kstMatrix-3.0-0/kstMatrix/R/kmunion.kmsurmiserelation.R        |only
 kstMatrix-3.0-0/kstMatrix/R/kmunionclosure.R                   |   34 
 kstMatrix-3.0-0/kstMatrix/R/kmvalidate.R                       |    2 
 kstMatrix-3.0-0/kstMatrix/R/phsg.R                             |    2 
 kstMatrix-3.0-0/kstMatrix/R/plot.R                             |  880 ++++++-
 kstMatrix-3.0-0/kstMatrix/R/readwrite.R                        |   64 
 kstMatrix-3.0-0/kstMatrix/R/xpl.R                              |    1 
 kstMatrix-3.0-0/kstMatrix/data/cad.rda                         |binary
 kstMatrix-3.0-0/kstMatrix/data/fractions.rda                   |binary
 kstMatrix-3.0-0/kstMatrix/data/readwrite.rda                   |binary
 kstMatrix-3.0-0/kstMatrix/data/xpl.rda                         |binary
 kstMatrix-3.0-0/kstMatrix/inst/CITATION                        |only
 kstMatrix-3.0-0/kstMatrix/inst/doc/kstMatrix.R                 |   57 
 kstMatrix-3.0-0/kstMatrix/inst/doc/kstMatrix.Rmd               |  270 +-
 kstMatrix-3.0-0/kstMatrix/inst/doc/kstMatrix.html              | 1161 +++++++---
 kstMatrix-3.0-0/kstMatrix/man/binary_matrix_product.Rd         |only
 kstMatrix-3.0-0/kstMatrix/man/cad.Rd                           |    8 
 kstMatrix-3.0-0/kstMatrix/man/fractions.Rd                     |    8 
 kstMatrix-3.0-0/kstMatrix/man/kmSF2basis.Rd                    |   24 
 kstMatrix-3.0-0/kstMatrix/man/kmSR2basis.Rd                    |   24 
 kstMatrix-3.0-0/kstMatrix/man/kmSRdiagram.Rd                   |only
 kstMatrix-3.0-0/kstMatrix/man/kmSRvalidate.Rd                  |    7 
 kstMatrix-3.0-0/kstMatrix/man/kmassess.Rd                      |    4 
 kstMatrix-3.0-0/kstMatrix/man/kmassessbayesian.Rd              |    4 
 kstMatrix-3.0-0/kstMatrix/man/kmassesshalfsplit.Rd             |    4 
 kstMatrix-3.0-0/kstMatrix/man/kmassessinformative.Rd           |    6 
 kstMatrix-3.0-0/kstMatrix/man/kmassessmentsimulation.Rd        |    4 
 kstMatrix-3.0-0/kstMatrix/man/kmassessmultiplicative.Rd        |    4 
 kstMatrix-3.0-0/kstMatrix/man/kmbasis.Rd                       |   30 
 kstMatrix-3.0-0/kstMatrix/man/kmbasisdiagram.Rd                |only
 kstMatrix-3.0-0/kstMatrix/man/kmbasisfringe.Rd                 |    9 
 kstMatrix-3.0-0/kstMatrix/man/kmbasisneighbourhood.Rd          |    9 
 kstMatrix-3.0-0/kstMatrix/man/kmclosure.Rd                     |only
 kstMatrix-3.0-0/kstMatrix/man/kmcolors.Rd                      |   12 
 kstMatrix-3.0-0/kstMatrix/man/kmdist.Rd                        |    7 
 kstMatrix-3.0-0/kstMatrix/man/kmdoubleequal.Rd                 |    6 
 kstMatrix-3.0-0/kstMatrix/man/kmeqreduction.Rd                 |   15 
 kstMatrix-3.0-0/kstMatrix/man/kmexpand.Rd                      |only
 kstMatrix-3.0-0/kstMatrix/man/kmfamset.Rd                      |    1 
 kstMatrix-3.0-0/kstMatrix/man/kmfringe.Rd                      |    9 
 kstMatrix-3.0-0/kstMatrix/man/kmgenerate.Rd                    |   10 
 kstMatrix-3.0-0/kstMatrix/man/kmgradations.Rd                  |   13 
 kstMatrix-3.0-0/kstMatrix/man/kmhasse.Rd                       |only
 kstMatrix-3.0-0/kstMatrix/man/kmheights.Rd                     |only
 kstMatrix-3.0-0/kstMatrix/man/kmiita2SR.Rd                     |   12 
 kstMatrix-3.0-0/kstMatrix/man/kmintersection.Rd                |only
 kstMatrix-3.0-0/kstMatrix/man/kmintersectionclosure.Rd         |only
 kstMatrix-3.0-0/kstMatrix/man/kmiswellgraded.Rd                |   15 
 kstMatrix-3.0-0/kstMatrix/man/kmlearningpathmatrices.Rd        |only
 kstMatrix-3.0-0/kstMatrix/man/kmlearningpaths.Rd               |   31 
 kstMatrix-3.0-0/kstMatrix/man/kmmesh.Rd                        |only
 kstMatrix-3.0-0/kstMatrix/man/kmminimalfamset.Rd               |    5 
 kstMatrix-3.0-0/kstMatrix/man/kmneighbourhood.Rd               |   24 
 kstMatrix-3.0-0/kstMatrix/man/kmnotions.Rd                     |   12 
 kstMatrix-3.0-0/kstMatrix/man/kmprettyprint.Rd                 |only
 kstMatrix-3.0-0/kstMatrix/man/kmqspace.Rd                      |only
 kstMatrix-3.0-0/kstMatrix/man/kmrefine.Rd                      |only
 kstMatrix-3.0-0/kstMatrix/man/kmsetiselement.Rd                |    5 
 kstMatrix-3.0-0/kstMatrix/man/kmsimulate.Rd                    |   10 
 kstMatrix-3.0-0/kstMatrix/man/kmspace.Rd                       |   39 
 kstMatrix-3.0-0/kstMatrix/man/kmstructure.Rd                   |    1 
 kstMatrix-3.0-0/kstMatrix/man/kmsubstructure.Rd                |only
 kstMatrix-3.0-0/kstMatrix/man/kmsurmisefunction.Rd             |   14 
 kstMatrix-3.0-0/kstMatrix/man/kmsurmiserelation.Rd             |   10 
 kstMatrix-3.0-0/kstMatrix/man/kmsymmsetdiff.Rd                 |    5 
 kstMatrix-3.0-0/kstMatrix/man/kmtrivial.Rd                     |   24 
 kstMatrix-3.0-0/kstMatrix/man/kmunion.Rd                       |only
 kstMatrix-3.0-0/kstMatrix/man/kmunionclosure.Rd                |   35 
 kstMatrix-3.0-0/kstMatrix/man/kmvalidate.Rd                    |    9 
 kstMatrix-3.0-0/kstMatrix/man/phsg.Rd                          |    8 
 kstMatrix-3.0-0/kstMatrix/man/plot.Rd                          |   87 
 kstMatrix-3.0-0/kstMatrix/man/readwrite.Rd                     |    8 
 kstMatrix-3.0-0/kstMatrix/man/xpl.Rd                           |    8 
 kstMatrix-3.0-0/kstMatrix/vignettes/SR.jpeg                    |only
 kstMatrix-3.0-0/kstMatrix/vignettes/emptyhead.jpeg             |only
 kstMatrix-3.0-0/kstMatrix/vignettes/horizontal.jpeg            |only
 kstMatrix-3.0-0/kstMatrix/vignettes/kstMatrix-Classes.png      |only
 kstMatrix-3.0-0/kstMatrix/vignettes/kstMatrix.Rmd              |  270 +-
 kstMatrix-3.0-0/kstMatrix/vignettes/neighbourhood.jpeg         |only
 kstMatrix-3.0-0/kstMatrix/vignettes/neighbourhood2.png         |only
 kstMatrix-3.0-0/kstMatrix/vignettes/space.jpeg                 |only
 159 files changed, 2915 insertions(+), 1206 deletions(-)

More information about kstMatrix at CRAN
Permanent link

Package gseries updated to version 3.0.3 with previous version 3.0.2 dated 2025-06-18

Title: Improve the Coherence of Your Time Series Data
Description: 'R' version of 'G-Series', Statistics Canada's generalized system devoted to the benchmarking and reconciliation of time series data. The methods used in 'G-Series' essentially come from Dagum, E. B., and P. Cholette (2006) <doi:10.1007/0-387-35439-5>.
Author: Michel Ferland [aut, cre], Statistics Canada [cph, fnd]
Maintainer: Michel Ferland <michel.ferland@statcan.gc.ca>

Diff between gseries versions 3.0.2 dated 2025-06-18 and 3.0.3 dated 2026-09-01

 DESCRIPTION                                    |   10 
 MD5                                            |   86 +-
 NEWS.md                                        |   20 
 R/benchmarking.R                               |    4 
 R/data.R                                       |    2 
 R/plot_graphTable.R                            |    3 
 R/sysdata.rda                                  |binary
 R/tsbalancing.R                                |  127 ++-
 R/tsraking.R                                   |    2 
 R/utils-common.R                               |    2 
 README.md                                      |   14 
 build/partial.rdb                              |binary
 build/vignette.rds                             |binary
 data/alternate_osqp_sequence.rda               |binary
 data/default_osqp_sequence.rda                 |binary
 inst/doc/benchmarking-demo-script.R            |  468 ++++++++-----
 inst/doc/benchmarking-demo-script.Rmd          |  468 ++++++++-----
 inst/doc/benchmarking-demo-script.html         |  858 ++++++++++++++-----------
 inst/doc/gseries.Rmd                           |    4 
 inst/doc/gseries.html                          |    6 
 inst/doc/osqp-settings-sequence-dataframe.html |   84 +-
 man/bench_graphs.Rd                            |   43 -
 man/benchmarking.Rd                            |  182 +++--
 man/build_balancing_problem.Rd                 |   54 -
 man/build_raking_problem.Rd                    |   40 -
 man/gs.build_proc_grps.Rd                      |   92 +-
 man/gseries-package.Rd                         |    5 
 man/osqp_settings_sequence.Rd                  |    6 
 man/plot_benchAdj.Rd                           |   43 -
 man/plot_graphTable.Rd                         |   34 
 man/rkMeta_to_blSpecs.Rd                       |   16 
 man/stack_bmkDF.Rd                             |   14 
 man/stack_tsDF.Rd                              |   12 
 man/stock_benchmarking.Rd                      |  284 ++++----
 man/time_values_conv.Rd                        |    4 
 man/tsDF_to_ts.Rd                              |   33 
 man/ts_to_bmkDF.Rd                             |   48 -
 man/ts_to_tsDF.Rd                              |    7 
 man/tsbalancing.Rd                             |  390 ++++++-----
 man/tsraking.Rd                                |  134 ++-
 man/tsraking_driver.Rd                         |  170 +++-
 man/unstack_tsDF.Rd                            |   42 -
 vignettes/benchmarking-demo-script.Rmd         |  468 ++++++++-----
 vignettes/gseries.Rmd                          |    4 
 44 files changed, 2591 insertions(+), 1692 deletions(-)

More information about gseries at CRAN
Permanent link

Package SimpleUpset updated to version 0.1.6 with previous version 0.1.5 dated 2026-06-30

Title: Create Upset Plots
Description: Create Upset plots using a combination of 'ggplot2' and 'patchwork'.
Author: Stevie Pederson [aut, cre] , Lachlan Baer [ctb]
Maintainer: Stevie Pederson <stephen.pederson.au@gmail.com>

Diff between SimpleUpset versions 0.1.5 dated 2026-06-30 and 0.1.6 dated 2026-09-01

 DESCRIPTION                |    8 +++---
 MD5                        |    8 +++---
 NAMESPACE                  |   56 +++++++++++++++++++++++++--------------------
 R/defaults.R               |    4 +--
 inst/doc/introduction.html |   18 +++++++-------
 5 files changed, 51 insertions(+), 43 deletions(-)

More information about SimpleUpset at CRAN
Permanent link

Package prodest updated to version 1.0.2 with previous version 1.0.1 dated 2018-06-19

Title: Production Function Estimation
Description: Implements the methods proposed by Olley, G.S. and Pakes, A. (1996) <doi:10.2307/2171831>, Levinsohn, J. and Petrin, A. (2003) <doi:10.1111/1467-937X.00246>, Ackerberg, D.A. and Caves, K. and Frazer, G. (2015) <doi:10.3982/ECTA13408> and Wooldridge, J.M. (2009) <doi:10.1016/j.econlet.2009.04.026> for structural productivity estimation.
Author: Gabriele Rovigatti [aut, cre]
Maintainer: Gabriele Rovigatti <gabriele.rovigatti@gmail.com>

Diff between prodest versions 1.0.1 dated 2018-06-19 and 1.0.2 dated 2026-09-01

 prodest-1.0.1/prodest/inst/doc                   |only
 prodest-1.0.2/prodest/DESCRIPTION                |   20 -
 prodest-1.0.2/prodest/MD5                        |   54 ++--
 prodest-1.0.2/prodest/NEWS                       |   25 +
 prodest-1.0.2/prodest/R/ClassMethods.R           |    2 
 prodest-1.0.2/prodest/R/auxFun.R                 |  156 ++++++++++--
 prodest-1.0.2/prodest/R/panelSim.R               |   16 -
 prodest-1.0.2/prodest/R/prodestACF.R             |  294 +++++++++++++++--------
 prodest-1.0.2/prodest/R/prodestOPLP.R            |   24 -
 prodest-1.0.2/prodest/README.md                  |   43 +--
 prodest-1.0.2/prodest/data/chilean.rda           |binary
 prodest-1.0.2/prodest/inst/CITATION              |   49 ++-
 prodest-1.0.2/prodest/man/block.boot.resample.Rd |   68 ++---
 prodest-1.0.2/prodest/man/checkM.Rd              |    2 
 prodest-1.0.2/prodest/man/checkMD.Rd             |    2 
 prodest-1.0.2/prodest/man/chilean.Rd             |   77 ++----
 prodest-1.0.2/prodest/man/gACF.Rd                |  100 +++----
 prodest-1.0.2/prodest/man/gOPLP.Rd               |    2 
 prodest-1.0.2/prodest/man/lagPanel.Rd            |   68 ++---
 prodest-1.0.2/prodest/man/method-summary.Rd      |    6 
 prodest-1.0.2/prodest/man/panelSim.Rd            |   60 ++--
 prodest-1.0.2/prodest/man/prodestACF.Rd          |   12 
 prodest-1.0.2/prodest/man/prodestLP.Rd           |    9 
 prodest-1.0.2/prodest/man/prodestOP.Rd           |   16 -
 prodest-1.0.2/prodest/man/prodestROB.Rd          |    4 
 prodest-1.0.2/prodest/man/prodestWRDG.Rd         |    4 
 prodest-1.0.2/prodest/man/prodestWRDG_GMM.Rd     |    4 
 prodest-1.0.2/prodest/man/weightM.Rd             |    2 
 prodest-1.0.2/prodest/tests                      |only
 29 files changed, 688 insertions(+), 431 deletions(-)

More information about prodest at CRAN
Permanent link

Package occCite updated to version 0.6.3 with previous version 0.6.2 dated 2026-06-29

Title: Querying and Managing Large Biodiversity Occurrence Datasets
Description: Facilitates the gathering of biodiversity occurrence data from disparate sources. Metadata is managed throughout the process to facilitate reporting and enhanced ability to repeat analyses.
Author: Hannah L. Owens [aut, cre] , Cory Merow [aut] , Brian Maitner [aut] , Jamie M. Kass [aut] , Vijay Barve [aut] , Robert P. Guralnick [aut] , Damiano Oldoni [rev] for rOpenSci, see <https://github.com/ropensci/software-review/issues/407>)
Maintainer: Hannah L. Owens <hannah.owens@gmail.com>

Diff between occCite versions 0.6.2 dated 2026-06-29 and 0.6.3 dated 2026-09-01

 occCite-0.6.2/occCite/inst/extdata/0169441-210914110416597.zip                            |only
 occCite-0.6.2/occCite/inst/extdata/Protea_cynaroides/0169441-210914110416597.zip          |only
 occCite-0.6.2/occCite/inst/extdata/Tetrapturus_angustirostris/0006577-190621201848488.zip |only
 occCite-0.6.2/occCite/inst/extdata/Tetrapturus_belone/0006578-190621201848488.zip         |only
 occCite-0.6.2/occCite/inst/extdata/Tetrapturus_pfluegeri/0006585-190621201848488.zip      |only
 occCite-0.6.3/occCite/DESCRIPTION                                                         |    8 
 occCite-0.6.3/occCite/MD5                                                                 |   40 +-
 occCite-0.6.3/occCite/NAMESPACE                                                           |   52 +-
 occCite-0.6.3/occCite/NEWS.md                                                             |    5 
 occCite-0.6.3/occCite/R/gbifRetriever.R                                                   |    9 
 occCite-0.6.3/occCite/R/getGBIFpoints.R                                                   |    6 
 occCite-0.6.3/occCite/R/studyTaxonList.R                                                  |    2 
 occCite-0.6.3/occCite/R/taxonRectification.R                                              |   15 
 occCite-0.6.3/occCite/inst/doc/a_Simple.R                                                 |    2 
 occCite-0.6.3/occCite/inst/doc/a_Simple.Rmd                                               |    2 
 occCite-0.6.3/occCite/inst/doc/a_Simple.html                                              |   12 
 occCite-0.6.3/occCite/inst/doc/b_Advanced.html                                            |  197 ++++------
 occCite-0.6.3/occCite/inst/extdata/0049045-260806074905277.zip                            |only
 occCite-0.6.3/occCite/inst/extdata/Protea_cynaroides/0049097-260806074905277.zip          |only
 occCite-0.6.3/occCite/inst/extdata/Tetrapturus_angustirostris/0049296-260806074905277.zip |only
 occCite-0.6.3/occCite/inst/extdata/Tetrapturus_belone/0049304-260806074905277.zip         |only
 occCite-0.6.3/occCite/inst/extdata/Tetrapturus_pfluegeri/0049310-260806074905277.zip      |only
 occCite-0.6.3/occCite/man/studyTaxonList.Rd                                               |    2 
 occCite-0.6.3/occCite/man/taxonRectification.Rd                                           |    2 
 occCite-0.6.3/occCite/tests/testthat/test-taxonRectification.R                            |   12 
 occCite-0.6.3/occCite/vignettes/a_Simple.Rmd                                              |    2 
 26 files changed, 181 insertions(+), 187 deletions(-)

More information about occCite at CRAN
Permanent link

Package lt updated to version 0.4 with previous version 0.3 dated 2026-08-19

Title: Lightweight Tables via JSON Specs and JavaScript
Description: A lightweight grammar of tables. Build a table by declaring a JSON spec (titles, spanners, row groups, footnotes, formatting functions, etc.); a tiny vanilla JavaScript runtime builds the HTML table from the spec on page load. No 'sass', no 'V8', no 'htmlwidgets' — just base R and 'xfun' ('htmltools' is used only for the optional Shiny binding).
Author: Yihui Xie [aut, cre, cph]
Maintainer: Yihui Xie <xie@yihui.name>

Diff between lt versions 0.3 dated 2026-08-19 and 0.4 dated 2026-09-01

 DESCRIPTION                |   10 +++---
 MD5                        |   28 ++++++++--------
 NEWS.md                    |    6 +++
 R/lt.R                     |    6 +++
 R/render.R                 |   13 ++++++-
 R/tab.R                    |   41 ++++++++++++++++++++----
 README.md                  |    4 +-
 inst/www/lt.js             |   37 +++++++++++++++++++---
 man/lt.Rd                  |    9 +++++
 man/lt_footnote.Rd         |   18 ++++++++++
 man/lt_format.Rd           |    8 ++++
 man/lt_sub.Rd              |    7 ++--
 tests/test-ci/test-js.R    |   75 +++++++++++++++++++++++++++++++++++++++++++--
 tests/testit/test-render.R |   17 ++++++++++
 tests/testit/test-tab.R    |   44 ++++++++++++++++++++++++++
 15 files changed, 283 insertions(+), 40 deletions(-)

More information about lt at CRAN
Permanent link

Package randomForestRHF updated to version 2.0.3 with previous version 2.0.0 dated 2026-08-28

Title: Random Hazard Forests
Description: Random Hazard Forests (RHF) extend Random Survival Forests (RSF) by directly estimating the hazard function and by accommodating time-dependent covariates through counting-process style inputs. The package fits tree ensembles for dynamic survival prediction, returning hazard, cumulative hazard, integrated hazard, and related performance summaries for training and test data. The methods build on Random Survival Forests described by Ishwaran et al. (2008) <doi:10.1214/08-AOAS169> and on nonparametric hazard modeling with time-dependent covariates described by Lee et al. (2021) <doi:10.1214/20-AOS2028>.
Author: Hemant Ishwaran [aut], Udaya B. Kogalur [aut, cre]
Maintainer: Udaya B. Kogalur <ubk@kogalur.com>

Diff between randomForestRHF versions 2.0.0 dated 2026-08-28 and 2.0.3 dated 2026-09-01

 DESCRIPTION               |    8 -
 MD5                       |   30 ++---
 NEWS.md                   |    8 +
 R/auct.rhf.R              |  111 +++++++++++++++++++-
 R/predict.rhf.R           |   10 +
 R/predict.rhf.workhorse.R |   40 ++++++-
 R/rhf.R                   |   36 ++++++
 R/rhf.workhorse.R         |   10 +
 R/tune.treesize.rhf.R     |  189 ++++++++++++++---------------------
 R/utilities_additional.R  |   17 +++
 R/utilities_tdc.R         |  248 ++++++++++++++++++++++++++++++++++++++++++++++
 man/predict.rhf.Rd        |   67 ++++++++----
 man/rhf.Rd                |  177 +++++++++++++++++++-------------
 man/tune.treesize.rhf.Rd  |   61 ++++++++---
 src/global.h              |    1 
 src/processEnsemble.c     |   50 +++++++++
 16 files changed, 806 insertions(+), 257 deletions(-)

More information about randomForestRHF at CRAN
Permanent link

New package FitVerse with initial version 1.0-1
Package: FitVerse
Title: Parametric Distribution Fitting and Analysis
Version: 1.0-1
Date: 2026-08-09
Description: Provides a unified, user-friendly interface for fitting parametric probability distributions to continuous univariate data. 'FitVerse' supports 52 distribution families spanning symmetric, right-skewed, heavy-tailed, bounded, and extreme-value shapes, and three estimation methods: Maximum Likelihood Estimation (MLE), Method of Moments (MOM), and L-Moments (L-MOM). Automatic best-fit selection is performed using AIC, BIC, and goodness-of-fit tests (Kolmogorov-Smirnov, Anderson-Darling, Cramer-von Mises (CvM)). Every fitted model produces a publication-quality diagnostic plot: a histogram overlaid with the fitted density curve and the estimated PDF formula annotated directly on the figure. An optional interactive version is produced via 'plotly'. Additional tools include bootstrap confidence intervals for parameter estimates and return levels, batch fitting across multiple columns for automated workflows and web-upload use cases, JSON serialisation for integration with 'Shiny' web applic [...truncated...]
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: stats, graphics, grDevices, utils, tools, actuar (>= 3.1.0), mc2d (>= 0.1.18), evd (>= 2.3.3), sn (>= 2.1.0), fitdistrplus (>= 1.1.0), lmomco (>= 2.3.7), ggplot2 (>= 3.4.0), goftest (>= 1.2.3), gridExtra (>= 2.3)
Suggests: shiny (>= 1.7.0), bslib (>= 0.5.0), DT, plotly (>= 4.10.0), testthat (>= 3.0.0), knitr (>= 1.40), rmarkdown (>= 2.20), kableExtra, jsonlite (>= 1.8.0), base64enc, MASS, GeneralizedHyperbolic, truncnorm
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-08-22 01:24:26 UTC; karunareddy
Author: Karuna G. Reddy [aut, cre] , M. G. M. Khan [aut]
Maintainer: Karuna G. Reddy <karuna.reddy@auckland.ac.nz>
Repository: CRAN
Date/Publication: 2026-09-01 14:20:02 UTC

More information about FitVerse at CRAN
Permanent link

Package rmarkdown updated to version 2.32 with previous version 2.31 dated 2026-03-26

Title: Dynamic Documents for R
Description: Convert R Markdown documents into a variety of formats.
Author: JJ Allaire [aut], Yihui Xie [aut, cre] , Christophe Dervieux [aut] , Jonathan McPherson [aut], Javier Luraschi [aut], Kevin Ushey [aut], Aron Atkins [aut], Hadley Wickham [aut], Joe Cheng [aut], Winston Chang [aut], Richard Iannone [aut] , Andrew Dun [...truncated...]
Maintainer: Yihui Xie <xie@yihui.name>

Diff between rmarkdown versions 2.31 dated 2026-03-26 and 2.32 dated 2026-09-01

 rmarkdown-2.31/rmarkdown/inst/rmd/latex                                               |only
 rmarkdown-2.32/rmarkdown/DESCRIPTION                                                  |   15 
 rmarkdown-2.32/rmarkdown/LICENSE                                                      |only
 rmarkdown-2.32/rmarkdown/MD5                                                          |  140 +
 rmarkdown-2.32/rmarkdown/NAMESPACE                                                    |   20 
 rmarkdown-2.32/rmarkdown/NEWS.md                                                      |   26 
 rmarkdown-2.32/rmarkdown/R/beamer_presentation.R                                      |   99 -
 rmarkdown-2.32/rmarkdown/R/github_document.R                                          |   14 
 rmarkdown-2.32/rmarkdown/R/html_dependencies.R                                        |   22 
 rmarkdown-2.32/rmarkdown/R/html_document.R                                            |   10 
 rmarkdown-2.32/rmarkdown/R/html_document_base.R                                       |    5 
 rmarkdown-2.32/rmarkdown/R/html_fragment.R                                            |    2 
 rmarkdown-2.32/rmarkdown/R/html_resources.R                                           |   13 
 rmarkdown-2.32/rmarkdown/R/html_vignette.R                                            |    2 
 rmarkdown-2.32/rmarkdown/R/ioslides_presentation.R                                    |   20 
 rmarkdown-2.32/rmarkdown/R/md_document.R                                              |    7 
 rmarkdown-2.32/rmarkdown/R/odt_document.R                                             |    2 
 rmarkdown-2.32/rmarkdown/R/output_format.R                                            |    2 
 rmarkdown-2.32/rmarkdown/R/pandoc.R                                                   |   26 
 rmarkdown-2.32/rmarkdown/R/pdf_document.R                                             |   16 
 rmarkdown-2.32/rmarkdown/R/powerpoint_presentation.R                                  |    3 
 rmarkdown-2.32/rmarkdown/R/render.R                                                   |   65 
 rmarkdown-2.32/rmarkdown/R/rtf_document.R                                             |    2 
 rmarkdown-2.32/rmarkdown/R/slidy_presentation.R                                       |    2 
 rmarkdown-2.32/rmarkdown/R/util.R                                                     |   12 
 rmarkdown-2.32/rmarkdown/R/word_document.R                                            |    6 
 rmarkdown-2.32/rmarkdown/README.md                                                    |    6 
 rmarkdown-2.32/rmarkdown/build/vignette.rds                                           |binary
 rmarkdown-2.32/rmarkdown/inst/CITATION                                                |    4 
 rmarkdown-2.32/rmarkdown/inst/COPYING                                                 |  701 ----------
 rmarkdown-2.32/rmarkdown/inst/doc/lua-filters.Rmd                                     |    4 
 rmarkdown-2.32/rmarkdown/inst/doc/lua-filters.html                                    |    4 
 rmarkdown-2.32/rmarkdown/inst/doc/rmarkdown.R                                         |    2 
 rmarkdown-2.32/rmarkdown/inst/doc/rmarkdown.Rmd                                       |   52 
 rmarkdown-2.32/rmarkdown/inst/doc/rmarkdown.html                                      |   71 -
 rmarkdown-2.32/rmarkdown/inst/rmarkdown/lua/extract-data-uri.lua                      |only
 rmarkdown-2.32/rmarkdown/inst/rmarkdown/lua/latex-div.lua                             |    9 
 rmarkdown-2.32/rmarkdown/inst/rmarkdown/lua/number-sections.lua                       |    9 
 rmarkdown-2.32/rmarkdown/inst/rmarkdown/lua/pagebreak.lua                             |   10 
 rmarkdown-2.32/rmarkdown/inst/rmarkdown/lua/shared.lua                                |   16 
 rmarkdown-2.32/rmarkdown/inst/rmarkdown/templates/html_vignette/skeleton/skeleton.Rmd |    2 
 rmarkdown-2.32/rmarkdown/inst/rmd/ioslides/ioslides_presentation.lua                  |    8 
 rmarkdown-2.32/rmarkdown/inst/rmd/site/index.Rmd                                      |    2 
 rmarkdown-2.32/rmarkdown/man/beamer_presentation.Rd                                   |    4 
 rmarkdown-2.32/rmarkdown/man/context_document.Rd                                      |    2 
 rmarkdown-2.32/rmarkdown/man/github_document.Rd                                       |    2 
 rmarkdown-2.32/rmarkdown/man/html_document.Rd                                         |    8 
 rmarkdown-2.32/rmarkdown/man/html_fragment.Rd                                         |    4 
 rmarkdown-2.32/rmarkdown/man/html_vignette.Rd                                         |    4 
 rmarkdown-2.32/rmarkdown/man/ioslides_presentation.Rd                                 |    4 
 rmarkdown-2.32/rmarkdown/man/md_document.Rd                                           |    4 
 rmarkdown-2.32/rmarkdown/man/metadata.Rd                                              |    5 
 rmarkdown-2.32/rmarkdown/man/odt_document.Rd                                          |    2 
 rmarkdown-2.32/rmarkdown/man/output_format.Rd                                         |    2 
 rmarkdown-2.32/rmarkdown/man/output_metadata.Rd                                       |    1 
 rmarkdown-2.32/rmarkdown/man/pandoc_available.Rd                                      |    2 
 rmarkdown-2.32/rmarkdown/man/pdf_document.Rd                                          |    4 
 rmarkdown-2.32/rmarkdown/man/powerpoint_presentation.Rd                               |    2 
 rmarkdown-2.32/rmarkdown/man/rmarkdown-package.Rd                                     |    3 
 rmarkdown-2.32/rmarkdown/man/rtf_document.Rd                                          |    2 
 rmarkdown-2.32/rmarkdown/man/slidy_presentation.Rd                                    |    4 
 rmarkdown-2.32/rmarkdown/man/word_document.Rd                                         |    4 
 rmarkdown-2.32/rmarkdown/tests/testthat/helpers.R                                     |   20 
 rmarkdown-2.32/rmarkdown/tests/testthat/test-draft.R                                  |   14 
 rmarkdown-2.32/rmarkdown/tests/testthat/test-html_dependencies.R                      |   47 
 rmarkdown-2.32/rmarkdown/tests/testthat/test-ioslides-figures.R                       |only
 rmarkdown-2.32/rmarkdown/tests/testthat/test-lua-filters.R                            |   34 
 rmarkdown-2.32/rmarkdown/tests/testthat/test-pandoc.R                                 |   11 
 rmarkdown-2.32/rmarkdown/tests/testthat/test-pdf_document.R                           |   61 
 rmarkdown-2.32/rmarkdown/tests/testthat/test-resources.R                              |   65 
 rmarkdown-2.32/rmarkdown/tests/testthat/test-utils.R                                  |   18 
 rmarkdown-2.32/rmarkdown/vignettes/lua-filters.Rmd                                    |    4 
 rmarkdown-2.32/rmarkdown/vignettes/rmarkdown.Rmd                                      |   52 
 73 files changed, 670 insertions(+), 1150 deletions(-)

More information about rmarkdown at CRAN
Permanent link

Package MXM readmission to version 1.5.8 with previous version 1.5.5 dated 2022-08-25

Title: Feature Selection (Including Multiple Solutions) and Bayesian Networks
Description: Many feature selection methods for a wide range of response variables, including minimal, statistically-equivalent and equally-predictive feature subsets. Bayesian network algorithms and related functions are also included. The package name 'MXM' stands for "Mens eX Machina", meaning "Mind from the Machine" in Latin. References: a) Lagani, V. and Athineou, G. and Farcomeni, A. and Tsagris, M. and Tsamardinos, I. (2017). "Feature Selection with the R Package MXM: Discovering Statistically Equivalent Feature Subsets". Journal of Statistical Software, 80(7). <doi:10.18637/jss.v080.i07>. b) Tsagris, M., Lagani, V. and Tsamardinos, I. (2018). "Feature selection for high-dimensional temporal data". BMC Bioinformatics, 19:17. <doi:10.1186/s12859-018-2023-7>. c) Tsagris, M., Borboudakis, G., Lagani, V. and Tsamardinos, I. (2018). "Constraint-based causal discovery with mixed data". International Journal of Data Science and Analytics, 6(1): 19-30. <doi:10.1007/s41060-018-0097-y&g [...truncated...]
Author: Konstantina Biza [aut], Ioannis Tsamardinos [aut, cph], Vincenzo Lagani [aut, cph], Giorgos Athineou [aut], Michail Tsagris [aut], Giorgos Borboudakis [ctb], Anna Roumpelaki [ctb], Stavros Papadopoulos [cre]
Maintainer: Stavros Papadopoulos <staurospapflor@gmail.com>

This is a re-admission after prior archival of version 1.5.5 dated 2022-08-25

Diff between MXM versions 1.5.5 dated 2022-08-25 and 1.5.8 dated 2026-09-01

 DESCRIPTION                      |   30 -
 MD5                              |  248 ++++-----
 NEWS                             |only
 R/MMPC.R                         |    2 
 R/MMPC.timeclass.R               |    2 
 R/SES.timeclass.R                |    2 
 R/beta.mod.R                     |    2 
 R/beta.reg.R                     |    2 
 R/beta.regs.R                    |    7 
 R/betamle.wei.R                  |    2 
 R/big.gomp.R                     |    2 
 R/censIndCR.R                    |    2 
 R/clogit.fsreg.R                 |    2 
 R/clogit.fsreg_2.R               |    2 
 R/cond.regs.R                    |    2 
 R/corgraph.R                     |    2 
 R/cv.gomp.R                      |    2 
 R/dag_to_eg.R                    |    2 
 R/ebic.regs.R                    |    2 
 R/gee.condregs.R                 |    2 
 R/generatefolds.R                |   10 
 R/glmm.condregs.R                |    2 
 R/gomp.R                         |    2 
 R/mmhc.skel.R                    |    2 
 R/mmpc.or.R                      |    2 
 R/ordinal.reg.R                  |    2 
 R/perm.betaregs.R                |    6 
 R/perm.mmpc.R                    |    2 
 R/perm.zipregs.R                 |    6 
 R/permCR.R                       |    2 
 R/rdag.R                         |   17 
 R/ridgereg.cv.R                  |   17 
 R/testIndGEEGamma.R              |    2 
 R/testIndGEELogistic.R           |    2 
 R/testIndGEENormLog.R            |    2 
 R/testIndGEEPois.R               |    2 
 R/testIndGEEReg.R                |    2 
 R/testIndGLMMCR.R                |    3 
 R/testIndGLMMGamma.R             |    2 
 R/testIndGLMMLogistic.R          |    2 
 R/testIndGLMMNB.R                |    3 
 R/testIndGLMMNormLog.R           |    2 
 R/testIndGLMMOrdinal.R           |    2 
 R/testIndGLMMPois.R              |    3 
 R/testIndGLMMReg.R               |    2 
 R/testIndLMM.R                   |    3 
 R/wald.betaregs.R                |    6 
 R/wald.mmpc.R                    |    2 
 R/waldCR.R                       |    2 
 R/zinb.mod.R                     |    2 
 R/zinb.reg.R                     |    2 
 R/zip.reg.R                      |    2 
 R/zip.regs.R                     |    6 
 build/partial.rdb                |only
 build/vignette.rds               |binary
 inst/COPYRIGHTS                  |only
 inst/doc/FS_guide.ltx            |    4 
 inst/doc/FS_guide.pdf            |binary
 inst/doc/MMPC_tutorial.R         |   86 +--
 inst/doc/MMPC_tutorial.Rmd       |   28 -
 inst/doc/MMPC_tutorial.html      |  724 +++++++++-------------------
 inst/doc/SES_KMVerrou_11_12.R    |   10 
 inst/doc/SES_KMVerrou_11_12.Rmd  |   21 
 inst/doc/SES_KMVerrou_11_12.html | 1006 ++++++++++++++-------------------------
 inst/doc/article.ltx             |   16 
 inst/doc/article.pdf             |binary
 inst/doc/guide.pdf               |binary
 inst/extdata                     |only
 man/MXM-internal.Rd              |   18 
 man/MXMCondIndTests.Rd           |    2 
 man/SES.glmm.Rd                  |   22 
 man/bbc.Rd                       |    2 
 man/beta.mod.Rd                  |    2 
 man/beta.regs.Rd                 |    2 
 man/big.fbed.reg.Rd              |   25 
 man/big.gomp.Rd                  |   16 
 man/censIndCR.Rd                 |   12 
 man/condis.Rd                    |    2 
 man/corfs.network.Rd             |    2 
 man/cv.fbed.lmm.reg.Rd           |   24 
 man/cv.gomp.Rd                   |   10 
 man/cv.ses.Rd                    |    2 
 man/dag2eg.Rd                    |   11 
 man/ebic.glmm.bsreg.Rd           |   22 
 man/fbed.gee.reg.Rd              |   22 
 man/fbed.glmm.reg.Rd             |   19 
 man/generatefolds.Rd             |    7 
 man/glmm.bsreg.Rd                |   10 
 man/gomp.Rd                      |    2 
 man/is.dag.Rd                    |    2 
 man/local.mmhc.skel.Rd           |    2 
 man/logiquant.regs.Rd            |    2 
 man/mb.Rd                        |    2 
 man/mmhc.skel.Rd                 |    2 
 man/mmpc.glmm.model.Rd           |   10 
 man/mmpc.glmm2.Rd                |    8 
 man/mmpc.or.Rd                   |    2 
 man/mmpc.timeclass.model.Rd      |    2 
 man/modeler.Rd                   |    2 
 man/nei.Rd                       |    2 
 man/ordinal.reg.Rd               |    2 
 man/pc.or.Rd                     |    2 
 man/pc.sel.Rd                    |    2 
 man/pc.skel.Rd                   |    2 
 man/plotnetwork.Rd               |   10 
 man/rdag.Rd                      |    7 
 man/read.big.data.Rd             |   12 
 man/reg.fit.Rd                   |    2 
 man/ridge.plot.Rd                |    2 
 man/ridge.reg.Rd                 |    2 
 man/ridgereg.cv.Rd               |    9 
 man/ses.model.Rd                 |    2 
 man/sp.logiregs.Rd               |    4 
 man/tc.plot.Rd                   |    2 
 man/testIndTobit.Rd              |    4 
 man/topological_sort.Rd          |    2 
 man/transitiveClosure.Rd         |    2 
 man/undir.path.Rd                |    2 
 man/wald.logisticregs.Rd         |    2 
 man/zip.regs.Rd                  |    2 
 vignettes/FS_guide.ltx           |    4 
 vignettes/JSS.bib                |    4 
 vignettes/MMPC_tutorial.Rmd      |   28 -
 vignettes/SES_KMVerrou_11_12.Rmd |   21 
 vignettes/article.ltx            |   16 
 vignettes/athineou.bib           |   43 -
 vignettes/biblio.bib             |    8 
 127 files changed, 1096 insertions(+), 1708 deletions(-)

More information about MXM at CRAN
Permanent link

Package int3ract updated to version 2.0.0 with previous version 1.0.7 dated 2026-05-05

Title: Johnson-Neyman Analysis of Two- and Three-Way Interactions
Description: Reports and plots the conditional effect of each variable involved in a multiplicative interaction across the range of its moderators, together with the region over which that effect is distinguishable from zero. Extends the classic framework of Johnson and Neyman (1936) and Johnson and Fay (1950) <doi:10.1007/BF02288864> to three-way interactions and to Bayesian models. The single entry point JN() dispatches on the fitted object, with methods for lm()/glm() models, 'lme4' models, 'RSiena' and 'multiSiena' results, and matrices of posterior draws; support for further model classes is added by writing one jn_input() method. Results are classed objects with print(), summary() and plot() methods, and the figures carry data-density panels showing how much empirical support each part of the moderator range has. A detailed introduction can be found in Krause (2026) <doi:10.48550/arXiv.2604.22051>.
Author: Robert W. Krause [aut, cre, cph]
Maintainer: Robert W. Krause <robert.w.krause@mailbox.org>

Diff between int3ract versions 1.0.7 dated 2026-05-05 and 2.0.0 dated 2026-09-01

 int3ract-1.0.7/int3ract/R/JNK_bayes.R           |only
 int3ract-1.0.7/int3ract/R/JNK_freq.R            |only
 int3ract-2.0.0/int3ract/DESCRIPTION             |   31 
 int3ract-2.0.0/int3ract/MD5                     |   54 +
 int3ract-2.0.0/int3ract/NAMESPACE               |   91 ++
 int3ract-2.0.0/int3ract/NEWS.md                 |  145 +++-
 int3ract-2.0.0/int3ract/R/JN.R                  |only
 int3ract-2.0.0/int3ract/R/deprecated.R          |only
 int3ract-2.0.0/int3ract/R/engine.R              |only
 int3ract-2.0.0/int3ract/R/int3ract-package.R    |only
 int3ract-2.0.0/int3ract/R/jn_input.R            |only
 int3ract-2.0.0/int3ract/R/methods.R             |only
 int3ract-2.0.0/int3ract/R/plot.R                |only
 int3ract-2.0.0/int3ract/R/regions.R             |only
 int3ract-2.0.0/int3ract/R/siena.R               |only
 int3ract-2.0.0/int3ract/R/utils.R               |  794 ------------------------
 int3ract-2.0.0/int3ract/README.md               |  158 +++-
 int3ract-2.0.0/int3ract/build                   |only
 int3ract-2.0.0/int3ract/inst/doc                |only
 int3ract-2.0.0/int3ract/man/JN.Rd               |only
 int3ract-2.0.0/int3ract/man/JNK_bayes.Rd        |  139 ----
 int3ract-2.0.0/int3ract/man/JNK_freq.Rd         |  148 +---
 int3ract-2.0.0/int3ract/man/as.data.frame.JN.Rd |only
 int3ract-2.0.0/int3ract/man/int3ract-package.Rd |only
 int3ract-2.0.0/int3ract/man/jn_input.Rd         |only
 int3ract-2.0.0/int3ract/man/jn_plots.Rd         |only
 int3ract-2.0.0/int3ract/man/jn_regions.Rd       |only
 int3ract-2.0.0/int3ract/man/jn_save.Rd          |only
 int3ract-2.0.0/int3ract/man/jn_style.Rd         |only
 int3ract-2.0.0/int3ract/man/plot.JN.Rd          |only
 int3ract-2.0.0/int3ract/man/print.JN.Rd         |only
 int3ract-2.0.0/int3ract/man/print.JN_list.Rd    |only
 int3ract-2.0.0/int3ract/man/reexports.Rd        |only
 int3ract-2.0.0/int3ract/man/summary.JN.Rd       |only
 int3ract-2.0.0/int3ract/tests                   |only
 int3ract-2.0.0/int3ract/vignettes               |only
 36 files changed, 477 insertions(+), 1083 deletions(-)

More information about int3ract at CRAN
Permanent link

Package httr updated to version 1.4.9 with previous version 1.4.8 dated 2026-02-13

Title: Tools for Working with URLs and HTTP
Description: Useful tools for working with HTTP organised by HTTP verbs (GET(), POST(), etc). Configuration functions make it easy to control additional request components (authenticate(), add_headers() and so on).
Author: Hadley Wickham [aut, cre], Posit Software, PBC [cph, fnd]
Maintainer: Hadley Wickham <hadley@posit.co>

Diff between httr versions 1.4.8 dated 2026-02-13 and 1.4.9 dated 2026-09-01

 DESCRIPTION                |    8 ++---
 MD5                        |   68 ++++++++++++++++++++++-----------------------
 NEWS.md                    |    4 ++
 R/http-verb.R              |    4 +-
 build/vignette.rds         |binary
 man/BROWSE.Rd              |   16 +++++-----
 man/DELETE.Rd              |   16 +++++-----
 man/GET.Rd                 |   16 +++++-----
 man/HEAD.Rd                |   16 +++++-----
 man/PATCH.Rd               |   16 +++++-----
 man/POST.Rd                |   16 +++++-----
 man/PUT.Rd                 |   16 +++++-----
 man/VERB.Rd                |   18 +++++------
 man/add_headers.Rd         |   16 +++++-----
 man/authenticate.Rd        |   16 +++++-----
 man/config.Rd              |   22 +++++++-------
 man/content.Rd             |   16 +++++-----
 man/handle_pool.Rd         |    1 
 man/http_error.Rd          |   10 +++---
 man/http_status.Rd         |   10 +++---
 man/httr-package.Rd        |    5 +++
 man/oauth1.0_token.Rd      |   10 +++---
 man/oauth2.0_token.Rd      |   10 +++---
 man/oauth_app.Rd           |   10 +++---
 man/oauth_endpoint.Rd      |   10 +++---
 man/oauth_service_token.Rd |   10 +++---
 man/response.Rd            |   10 +++---
 man/set_config.Rd          |    6 +--
 man/set_cookies.Rd         |   16 +++++-----
 man/stop_for_status.Rd     |   10 +++---
 man/timeout.Rd             |   18 +++++------
 man/use_proxy.Rd           |   16 +++++-----
 man/user_agent.Rd          |   16 +++++-----
 man/verbose.Rd             |   16 +++++-----
 man/with_config.Rd         |    6 +--
 35 files changed, 241 insertions(+), 233 deletions(-)

More information about httr at CRAN
Permanent link

Package ggtime updated to version 1.0.0 with previous version 0.2.0 dated 2026-02-09

Title: Grammar of Graphics and Plot Helpers for Time Series Visualization
Description: Extends the capabilities of 'ggplot2' by providing grammatical elements and plot helpers designed for visualizing temporal patterns. The package implements a grammar of temporal graphics, which leverages calendar structures to highlight changes over time. The package also provides plot helper functions to quickly produce commonly used time series graphics, including time plots, season plots, and seasonal sub-series plots.
Author: Mitchell O'Hara-Wild [aut, cre] , Cynthia A. Huang [aut] , Matthew Kay [aut] , Rob Hyndman [aut] , Earo Wang [ctb]
Maintainer: Mitchell O'Hara-Wild <mail@mitchelloharawild.com>

Diff between ggtime versions 0.2.0 dated 2026-02-09 and 1.0.0 dated 2026-09-01

 ggtime-0.2.0/ggtime/man/figures/README-unnamed-chunk-2-1.png                                 |only
 ggtime-0.2.0/ggtime/tests/testthat/_snaps/coord-calendar/inf-segment-and-hline.svg           |only
 ggtime-0.2.0/ggtime/tests/testthat/_snaps/coord-loop/loop-ljust-0-5.svg                      |only
 ggtime-0.2.0/ggtime/tests/testthat/_snaps/coord-loop/loop-ljust-0.svg                        |only
 ggtime-0.2.0/ggtime/tests/testthat/_snaps/coord-loop/loop-ljust-1.svg                        |only
 ggtime-0.2.0/ggtime/tests/testthat/_snaps/coord-loop/radial-ljust-0-5.svg                    |only
 ggtime-0.2.0/ggtime/tests/testthat/_snaps/coord-loop/time-loop-ljust-0-5.svg                 |only
 ggtime-0.2.0/ggtime/tests/testthat/_snaps/coord-loop/time-loop-ljust-0.svg                   |only
 ggtime-0.2.0/ggtime/tests/testthat/_snaps/coord-loop/time-loop-ljust-1.svg                   |only
 ggtime-0.2.0/ggtime/tests/testthat/_snaps/coord-loop/time-loops-clip-loops-off.svg           |only
 ggtime-1.0.0/ggtime/DESCRIPTION                                                              |   11 
 ggtime-1.0.0/ggtime/MD5                                                                      |   81 ++--
 ggtime-1.0.0/ggtime/NAMESPACE                                                                |   22 +
 ggtime-1.0.0/ggtime/NEWS.md                                                                  |   28 +
 ggtime-1.0.0/ggtime/R/coord-calendar.R                                                       |only
 ggtime-1.0.0/ggtime/R/coord-loop.R                                                           |only
 ggtime-1.0.0/ggtime/R/geom-time-line.R                                                       |only
 ggtime-1.0.0/ggtime/R/ggtime-package.R                                                       |    1 
 ggtime-1.0.0/ggtime/R/loop-cut.R                                                             |only
 ggtime-1.0.0/ggtime/R/plot-helpers.R                                                         |   22 -
 ggtime-1.0.0/ggtime/R/range-time.R                                                           |only
 ggtime-1.0.0/ggtime/R/scale-time.R                                                           |only
 ggtime-1.0.0/ggtime/R/transform.R                                                            |only
 ggtime-1.0.0/ggtime/R/utils.R                                                                |  200 ++++++++++
 ggtime-1.0.0/ggtime/R/zzz.R                                                                  |only
 ggtime-1.0.0/ggtime/README.md                                                                |  132 +++++-
 ggtime-1.0.0/ggtime/man/aes_nudge.Rd                                                         |only
 ggtime-1.0.0/ggtime/man/autoplot.dcmp_ts.Rd                                                  |    2 
 ggtime-1.0.0/ggtime/man/autoplot.tbl_cf.Rd                                                   |    4 
 ggtime-1.0.0/ggtime/man/autoplot.tbl_ts.Rd                                                   |    2 
 ggtime-1.0.0/ggtime/man/coord_calendar.Rd                                                    |only
 ggtime-1.0.0/ggtime/man/coord_loop.Rd                                                        |only
 ggtime-1.0.0/ggtime/man/figures/README-coordcalendar-1.png                                   |only
 ggtime-1.0.0/ggtime/man/figures/README-coordloop-1.png                                       |only
 ggtime-1.0.0/ggtime/man/figures/README-geomtimeline-1.png                                    |only
 ggtime-1.0.0/ggtime/man/figures/README-scalemixtime-1.png                                    |only
 ggtime-1.0.0/ggtime/man/geom_time_line.Rd                                                    |only
 ggtime-1.0.0/ggtime/man/gg_arma.Rd                                                           |    4 
 ggtime-1.0.0/ggtime/man/gg_lag.Rd                                                            |    3 
 ggtime-1.0.0/ggtime/man/gg_season.Rd                                                         |    3 
 ggtime-1.0.0/ggtime/man/gg_subseries.Rd                                                      |    3 
 ggtime-1.0.0/ggtime/man/gg_tsdisplay.Rd                                                      |    3 
 ggtime-1.0.0/ggtime/man/gg_tsresiduals.Rd                                                    |    5 
 ggtime-1.0.0/ggtime/man/ggtime-package.Rd                                                    |    3 
 ggtime-1.0.0/ggtime/man/reexports.Rd                                                         |    2 
 ggtime-1.0.0/ggtime/man/scale_mixtime.Rd                                                     |only
 ggtime-1.0.0/ggtime/man/scale_mixtime_continuous.Rd                                          |only
 ggtime-1.0.0/ggtime/man/transform_warp.Rd                                                    |only
 ggtime-1.0.0/ggtime/tests/testthat/Rplots.pdf                                                |only
 ggtime-1.0.0/ggtime/tests/testthat/_snaps/coord-calendar/flipped-pane-and-column-gaps.svg    |only
 ggtime-1.0.0/ggtime/tests/testthat/_snaps/coord-calendar/granule-labels.svg                  |only
 ggtime-1.0.0/ggtime/tests/testthat/_snaps/coord-calendar/monthly-columns.svg                 |only
 ggtime-1.0.0/ggtime/tests/testthat/_snaps/coord-calendar/pane-and-column-gaps.svg            |only
 ggtime-1.0.0/ggtime/tests/testthat/_snaps/coord-calendar/weekly-rows.svg                     |only
 ggtime-1.0.0/ggtime/tests/testthat/_snaps/coord-loop/annotations-span-the-panel.svg          |only
 ggtime-1.0.0/ggtime/tests/testthat/_snaps/coord-loop/loops.svg                               |only
 ggtime-1.0.0/ggtime/tests/testthat/_snaps/coord-loop/radial.svg                              |only
 ggtime-1.0.0/ggtime/tests/testthat/_snaps/coord-loop/rects-and-ribbons-across-boundaries.svg |only
 ggtime-1.0.0/ggtime/tests/testthat/_snaps/coord-loop/time-loops.svg                          |only
 ggtime-1.0.0/ggtime/tests/testthat/test-coord-calendar.R                                     |only
 ggtime-1.0.0/ggtime/tests/testthat/test-coord-loop.R                                         |only
 ggtime-1.0.0/ggtime/tests/testthat/test-geom-time-line.R                                     |only
 ggtime-1.0.0/ggtime/tests/testthat/test-loop-cut.R                                           |only
 ggtime-1.0.0/ggtime/tests/testthat/test-scale-time.R                                         |only
 64 files changed, 446 insertions(+), 85 deletions(-)

More information about ggtime at CRAN
Permanent link

New package getaca with initial version 0.1.6
Package: getaca
Title: Reproducible External Data Dependencies
Version: 0.1.6
Language: en-GB
Description: Declares, retrieves, verifies, tracks and actively manages external data dependencies too large or too fast-moving to ship inside a package. Resources are identified by package, name and version, pinned to a Secure Hash Algorithm (SHA-256) checksum, and resolved through an explicit policy so that the same installed package always resolves the same bytes. A registry served from a remote host may be signed with Ed25519 and verified against a key the declaring package ships, so the declaration and the key that vouches for it arrive by different routes. Hashing follows National Institute of Standards and Technology (2015) "Secure Hash Standard" <doi:10.6028/NIST.FIPS.180-4>; signing follows Bernstein, Duif, Lange, Schwabe and Yang (2012) "High-Speed High-Security Signatures" <doi:10.1007/s13389-012-0027-1> and Josefsson and Liusvaara (2017) "Edwards-Curve Digital Signature Algorithm (EdDSA)" <doi:10.17487/RFC8032>. Designed for reproducible offline use and graceful behavi [...truncated...]
License: MIT + file LICENSE
URL: https://gillescolling.com/getaca/, https://github.com/gcol33/getaca
BugReports: https://github.com/gcol33/getaca/issues
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: curl (>= 5.0.0), stats, tools, utils
Suggests: jsonlite, knitr, rmarkdown, testthat (>= 3.0.0), withr, yaml
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-08-22 00:53:37 UTC; Gilles Colling
Author: Gilles Colling [aut, cre, cph] , Daniel J. Bernstein [ctb] , Bernard van Gastel [ctb] , Wesley Janssen [ctb] , Tanja Lange [ctb] , Peter Schwabe [ctb] , Sjaak Smetsers [ctb]
Maintainer: Gilles Colling <gilles.colling051@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-01 14:00:02 UTC

More information about getaca at CRAN
Permanent link

Package gaussfacts updated to version 0.0.4 with previous version 0.0.3 dated 2026-08-23

Title: The Greatest Mathematician Since Antiquity
Description: Display a random fact about Carl Friedrich Gauss based on the collection curated by Mike Cavers via the <https://web.archive.org/web/*/gaussfacts.com> site.
Author: Dirk Eddelbuettel [aut, cre] , Mike Cavers [aut]
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between gaussfacts versions 0.0.3 dated 2026-08-23 and 0.0.4 dated 2026-09-01

 ChangeLog        |   15 +++++++++++++++
 DESCRIPTION      |   10 +++++-----
 MD5              |   12 ++++++------
 R/gaussfacts.R   |    5 ++++-
 README.md        |    4 ++--
 inst/NEWS.Rd     |   11 +++++++++--
 man/gaussfact.Rd |    3 ++-
 7 files changed, 43 insertions(+), 17 deletions(-)

More information about gaussfacts at CRAN
Permanent link

Package fsia updated to version 1.1.2 with previous version 1.1.1 dated 2017-06-23

Title: Import and Analysis of OMR Data from FormScanner
Description: Import data of tests and questionnaires from FormScanner. FormScanner is an open source software that converts scanned images to data using optical mark recognition (OMR) and it can be downloaded from <https://sourceforge.net/projects/formscanner/>. The spreadsheet file created by FormScanner is imported in a convenient format to perform the analyses provided by the package. These analyses include the conversion of multiple responses to binary (correct/incorrect) data, the computation of the number of corrected responses for each subject or item, scoring using weights,the computation and the graphical representation of the frequencies of the responses to each item and the report of the responses of a few subjects.
Author: Michela Battauz [aut, cre]
Maintainer: Michela Battauz <michela.battauz@uniud.it>

Diff between fsia versions 1.1.1 dated 2017-06-23 and 1.1.2 dated 2026-09-01

 DESCRIPTION         |   16 ++++++++++------
 MD5                 |    8 ++++----
 inst/NEWS           |    5 ++---
 man/fsia-package.Rd |    4 ++--
 man/report.Rd       |    2 +-
 5 files changed, 19 insertions(+), 16 deletions(-)

More information about fsia at CRAN
Permanent link

Package connected updated to version 1.2 with previous version 1.1 dated 2025-03-05

Title: Visualize and Improve Connectedness of Factors in Tables
Description: Visualize the connectedness of factors in two-way tables. Perform two-way filtering to improve the degree of connectedness. See Weeks & Williams (1964) <doi:10.1080/00401706.1964.10490188>.
Author: Kevin Wright [aut, cre]
Maintainer: Kevin Wright <kw.stat@gmail.com>

Diff between connected versions 1.1 dated 2025-03-05 and 1.2 dated 2026-09-01

 DESCRIPTION                                         |   13 
 LICENSE                                             |only
 MD5                                                 |   30 
 NAMESPACE                                           |   16 
 NEWS.md                                             |   16 
 R/data_documentation.R                              |   41 -
 R/functions.R                                       |  712 ++++++++++++--------
 build/vignette.rds                                  |binary
 inst/doc/introduction_to_the_connected_package.R    |   25 
 inst/doc/introduction_to_the_connected_package.Rmd  |   37 -
 inst/doc/introduction_to_the_connected_package.html |  110 +--
 man/con_concur.Rd                                   |    7 
 man/con_filter.Rd                                   |    2 
 man/con_view.Rd                                     |   12 
 man/connected.Rd                                    |only
 tests/testthat/test-functions.R                     |  136 +++
 vignettes/introduction_to_the_connected_package.Rmd |   37 -
 17 files changed, 739 insertions(+), 455 deletions(-)

More information about connected at CRAN
Permanent link

New package AvatarTLA with initial version 0.1.0
Package: AvatarTLA
Title: Color Palettes from 'Avatar: The Last Airbender'
Version: 0.1.0
Description: Color palettes inspired by characters and nations from the animated series 'Avatar: The Last Airbender' for use in R graphics.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: graphics, grDevices
URL: https://github.com/Gerardo-Manzanarez-Villasana/AvatarTLA
BugReports: https://github.com/Gerardo-Manzanarez-Villasana/AvatarTLA/issues
Language: en-US
NeedsCompilation: no
Packaged: 2026-08-22 01:04:22 UTC; Gerardo Manzanarez
Author: Gerardo Manzanarez-Villasana [aut, cre]
Maintainer: Gerardo Manzanarez-Villasana <jupiter.gmv@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-01 14:00:29 UTC

More information about AvatarTLA at CRAN
Permanent link

Package tsgc updated to version 2.0.0 with previous version 0.0 dated 2024-08-26

Title: Time Series Methods Based on Growth Curves
Description: Provides tools for modelling and forecasting epidemic trajectories using a dynamic Gompertz model within a state space framework, with the Kalman filter for robust estimation of non-linear growth. Includes a reinitialization feature to adapt to new waves, and a leading-indicator extension that uses a related series moving ahead of the variable of interest (e.g. cases ahead of hospitalisations) to improve short-horizon forecasts, with model and lag selection via rolling-origin cross-validation. Applicable to data at daily, monthly, quarterly, or annual frequency, and to non-epidemic trajectories with similar dynamics, such as innovation diffusion and product adoption. Includes functions for data preprocessing, model fitting, forecast visualization, and accuracy evaluation using standard error measures. Methods are described in Harvey and Kattuman (2020) <doi:10.1162/99608f92.828f40de>, Harvey and Kattuman (2021) <doi:10.1098/rsif.2021.0179>, and Ashby, Harvey, Kattuman, Tang [...truncated...]
Author: Michael Ashby [aut, cre], Paul Kattuman [aut], Andrew Harvey [aut], Edwin Tang [aut], Craig Thamotheram [aut], Guglielmo Secchi [aut], Cambridge Centre for Health Leadership & Enterprise, Cambridge Judge Business School, University of Cambridge [fnd] [...truncated...]
Maintainer: Michael Ashby <mwa22@cam.ac.uk>

Diff between tsgc versions 0.0 dated 2024-08-26 and 2.0.0 dated 2026-09-01

 tsgc-0.0/tsgc/R/SSModelBase.R                                    |only
 tsgc-0.0/tsgc/R/SSModelDynGompertzReinit.R                       |only
 tsgc-0.0/tsgc/R/SSModelDynamicGompertz.R                         |only
 tsgc-0.0/tsgc/man/SSModelBase-class.Rd                           |only
 tsgc-0.0/tsgc/man/SSModelDynGompertzReinit-class.Rd              |only
 tsgc-0.0/tsgc/man/forecast.peak.Rd                               |only
 tsgc-0.0/tsgc/man/forecast_peak.Rd                               |only
 tsgc-0.0/tsgc/man/plot_new_cases.Rd                              |only
 tsgc-0.0/tsgc/tests/testthat/test-ss_model_base.R                |only
 tsgc-0.0/tsgc/tests/testthat/test-ss_model_dyn_gompertz_reinit.R |only
 tsgc-0.0/tsgc/tests/testthat/test-ss_model_dynamic_gompertz.R    |only
 tsgc-2.0.0/tsgc/DESCRIPTION                                      |   96 
 tsgc-2.0.0/tsgc/MD5                                              |  168 
 tsgc-2.0.0/tsgc/NAMESPACE                                        |  186 
 tsgc-2.0.0/tsgc/NEWS.md                                          |  108 
 tsgc-2.0.0/tsgc/R/SSModelDynGompertz.R                           |only
 tsgc-2.0.0/tsgc/R/SSModelLeadingIndicator.R                      |only
 tsgc-2.0.0/tsgc/R/accessorFns.R                                  |only
 tsgc-2.0.0/tsgc/R/data.R                                         |  220 
 tsgc-2.0.0/tsgc/R/filterResults.R                                |  906 +-
 tsgc-2.0.0/tsgc/R/filterResultsLI.R                              |only
 tsgc-2.0.0/tsgc/R/idx_calendar.R                                 |only
 tsgc-2.0.0/tsgc/R/idx_series.R                                   |only
 tsgc-2.0.0/tsgc/R/plotting.R                                     | 1885 +++-
 tsgc-2.0.0/tsgc/R/utils.R                                        | 1446 +++
 tsgc-2.0.0/tsgc/README.md                                        |  178 
 tsgc-2.0.0/tsgc/build/vignette.rds                               |binary
 tsgc-2.0.0/tsgc/data/england.rda                                 |binary
 tsgc-2.0.0/tsgc/data/england_weather_2021.rda                    |only
 tsgc-2.0.0/tsgc/data/etrading_apps.rda                           |only
 tsgc-2.0.0/tsgc/data/gauteng_weather_2021.rda                    |only
 tsgc-2.0.0/tsgc/data/nintendo_sales.rda                          |only
 tsgc-2.0.0/tsgc/data/ukitaly.rda                                 |only
 tsgc-2.0.0/tsgc/inst/doc/tsgc_vignette.R                         | 1103 +-
 tsgc-2.0.0/tsgc/inst/doc/tsgc_vignette.Rmd                       | 2791 +++++--
 tsgc-2.0.0/tsgc/inst/doc/tsgc_vignette.html                      | 3854 ++++++----
 tsgc-2.0.0/tsgc/man/FilterResults-class.Rd                       |  346 
 tsgc-2.0.0/tsgc/man/FilterResultsLI-class.Rd                     |only
 tsgc-2.0.0/tsgc/man/NCOL.idx_series.Rd                           |only
 tsgc-2.0.0/tsgc/man/Ptt.Rd                                       |only
 tsgc-2.0.0/tsgc/man/SSModelDynamicGompertz-class.Rd              |  190 
 tsgc-2.0.0/tsgc/man/SSModelLeadingIndicator-class.Rd             |only
 tsgc-2.0.0/tsgc/man/alphahat.Rd                                  |only
 tsgc-2.0.0/tsgc/man/argmax.Rd                                    |   53 
 tsgc-2.0.0/tsgc/man/as.matrix.idx_series.Rd                      |only
 tsgc-2.0.0/tsgc/man/as.numeric.idx_series.Rd                     |only
 tsgc-2.0.0/tsgc/man/as_idx_series.Rd                             |only
 tsgc-2.0.0/tsgc/man/att.Rd                                       |only
 tsgc-2.0.0/tsgc/man/cross_val.Rd                                 |only
 tsgc-2.0.0/tsgc/man/df2ldl.Rd                                    |   52 
 tsgc-2.0.0/tsgc/man/df2ldl_lead.Rd                               |only
 tsgc-2.0.0/tsgc/man/england.Rd                                   |   57 
 tsgc-2.0.0/tsgc/man/england_weather_2021.Rd                      |only
 tsgc-2.0.0/tsgc/man/estimate.Rd                                  |only
 tsgc-2.0.0/tsgc/man/estimate_r0.Rd                               |only
 tsgc-2.0.0/tsgc/man/etrading_apps.Rd                             |only
 tsgc-2.0.0/tsgc/man/gauteng.Rd                                   |   54 
 tsgc-2.0.0/tsgc/man/gauteng_weather_2021.Rd                      |only
 tsgc-2.0.0/tsgc/man/get_V.Rd                                     |only
 tsgc-2.0.0/tsgc/man/get_timeframe.Rd                             |only
 tsgc-2.0.0/tsgc/man/gety.Rd                                      |only
 tsgc-2.0.0/tsgc/man/gety.hat.Rd                                  |only
 tsgc-2.0.0/tsgc/man/head.idx_series.Rd                           |only
 tsgc-2.0.0/tsgc/man/idx_axis_opts.Rd                             |only
 tsgc-2.0.0/tsgc/man/idx_calendar.Rd                              |only
 tsgc-2.0.0/tsgc/man/idx_calendar_multi_step.Rd                   |only
 tsgc-2.0.0/tsgc/man/idx_calendar_offset.Rd                       |only
 tsgc-2.0.0/tsgc/man/idx_calendar_step.Rd                         |only
 tsgc-2.0.0/tsgc/man/idx_cbind.Rd                                 |only
 tsgc-2.0.0/tsgc/man/idx_diff.Rd                                  |only
 tsgc-2.0.0/tsgc/man/idx_lag.Rd                                   |only
 tsgc-2.0.0/tsgc/man/idx_ncol.Rd                                  |only
 tsgc-2.0.0/tsgc/man/idx_offset_to_pos.Rd                         |only
 tsgc-2.0.0/tsgc/man/idx_positions.Rd                             |only
 tsgc-2.0.0/tsgc/man/idx_range.Rd                                 |only
 tsgc-2.0.0/tsgc/man/idx_rbind.Rd                                 |only
 tsgc-2.0.0/tsgc/man/idx_series.Rd                                |only
 tsgc-2.0.0/tsgc/man/idx_step.Rd                                  |only
 tsgc-2.0.0/tsgc/man/idx_step_add.Rd                              |only
 tsgc-2.0.0/tsgc/man/idx_to_date.Rd                               |only
 tsgc-2.0.0/tsgc/man/idx_to_pos.Rd                                |only
 tsgc-2.0.0/tsgc/man/idx_values.Rd                                |only
 tsgc-2.0.0/tsgc/man/is_idx_calendar.Rd                           |only
 tsgc-2.0.0/tsgc/man/is_idx_series.Rd                             |only
 tsgc-2.0.0/tsgc/man/is_idx_step.Rd                               |only
 tsgc-2.0.0/tsgc/man/is_multi_step_pattern.Rd                     |only
 tsgc-2.0.0/tsgc/man/length.idx_series.Rd                         |only
 tsgc-2.0.0/tsgc/man/mapes.Rd                                     |only
 tsgc-2.0.0/tsgc/man/matrixKFS.Rd                                 |only
 tsgc-2.0.0/tsgc/man/modelKFS.Rd                                  |only
 tsgc-2.0.0/tsgc/man/multi_step_pattern.Rd                        |only
 tsgc-2.0.0/tsgc/man/nintendo_sales.Rd                            |only
 tsgc-2.0.0/tsgc/man/output.Rd                                    |only
 tsgc-2.0.0/tsgc/man/plot.SSModelDynamicGompertz.Rd               |only
 tsgc-2.0.0/tsgc/man/plot.SSModelLeadingIndicator.Rd              |only
 tsgc-2.0.0/tsgc/man/plot_compare_forecast.Rd                     |only
 tsgc-2.0.0/tsgc/man/plot_forecast.Rd                             |  117 
 tsgc-2.0.0/tsgc/man/plot_gy_ci.Rd                                |  103 
 tsgc-2.0.0/tsgc/man/plot_gy_components.Rd                        |   88 
 tsgc-2.0.0/tsgc/man/plot_holdout.Rd                              |  123 
 tsgc-2.0.0/tsgc/man/plot_log_forecast.Rd                         |only
 tsgc-2.0.0/tsgc/man/plot_r0.Rd                                   |only
 tsgc-2.0.0/tsgc/man/print.FilterResults.Rd                       |only
 tsgc-2.0.0/tsgc/man/print.FilterResultsLI.Rd                     |only
 tsgc-2.0.0/tsgc/man/print.SSModelDynamicGompertz.Rd              |only
 tsgc-2.0.0/tsgc/man/print.SSModelLeadingIndicator.Rd             |only
 tsgc-2.0.0/tsgc/man/print.idx_calendar.Rd                        |only
 tsgc-2.0.0/tsgc/man/print.idx_series.Rd                          |only
 tsgc-2.0.0/tsgc/man/print.idx_step.Rd                            |only
 tsgc-2.0.0/tsgc/man/print.multi_step_pattern.Rd                  |only
 tsgc-2.0.0/tsgc/man/print_model_diagnostics.Rd                   |only
 tsgc-2.0.0/tsgc/man/reinitialise_dataframe.Rd                    |   55 
 tsgc-2.0.0/tsgc/man/seasonalComp.Rd                              |only
 tsgc-2.0.0/tsgc/man/sub-.idx_series.Rd                           |only
 tsgc-2.0.0/tsgc/man/summary.FilterResults.Rd                     |only
 tsgc-2.0.0/tsgc/man/summary.FilterResultsLI.Rd                   |only
 tsgc-2.0.0/tsgc/man/summary.SSModelDynamicGompertz.Rd            |only
 tsgc-2.0.0/tsgc/man/summary.SSModelLeadingIndicator.Rd           |only
 tsgc-2.0.0/tsgc/man/tail.idx_series.Rd                           |only
 tsgc-2.0.0/tsgc/man/ukitaly.Rd                                   |only
 tsgc-2.0.0/tsgc/man/write_results.Rd                             |   98 
 tsgc-2.0.0/tsgc/man/xts_to_idx.Rd                                |only
 tsgc-2.0.0/tsgc/tests/testthat.R                                 |    8 
 tsgc-2.0.0/tsgc/tests/testthat/test-accessorFns.R                |only
 tsgc-2.0.0/tsgc/tests/testthat/test-boundary-conditions.R        |only
 tsgc-2.0.0/tsgc/tests/testthat/test-data.R                       |   43 
 tsgc-2.0.0/tsgc/tests/testthat/test-filterResults.R              |  696 +
 tsgc-2.0.0/tsgc/tests/testthat/test-filterResultsLI.R            |only
 tsgc-2.0.0/tsgc/tests/testthat/test-idx_calendar.R               |only
 tsgc-2.0.0/tsgc/tests/testthat/test-idx_series.R                 |only
 tsgc-2.0.0/tsgc/tests/testthat/test-plotting.R                   |  429 -
 tsgc-2.0.0/tsgc/tests/testthat/test-ss_model_dyn_gompertz.R      |only
 tsgc-2.0.0/tsgc/tests/testthat/test-ss_model_leading_indicator.R |only
 tsgc-2.0.0/tsgc/tests/testthat/test-utils.R                      |  433 +
 tsgc-2.0.0/tsgc/vignettes/book.bib                               |  238 
 tsgc-2.0.0/tsgc/vignettes/tsgc_replication_script.R              |only
 tsgc-2.0.0/tsgc/vignettes/tsgc_vignette.Rmd                      | 2791 +++++--
 137 files changed, 13297 insertions(+), 5618 deletions(-)

More information about tsgc at CRAN
Permanent link

Package spatialrisk updated to version 0.8.2 with previous version 0.8.1 dated 2026-06-16

Title: Spatial Concentration and Radius-Based Risk Calculations
Description: Provides computational building blocks for fixed-radius spatial aggregation, weighted circle-placement problems, hotspot detection, and polygon-based spatial summaries. The package focuses on efficient determination of the sum of observations within a given radius, identifying areas of high local concentration, and aggregating point data to polygon geometries. These methods are useful for applications such as insurance, urban analytics, environmental exposure analysis, and other spatial point pattern workflows. The fixed-radius circle placement problem is discussed by Chazelle and Lee (1986) <doi:10.1007/BF02238188>, and related maximum covering problems are described by Church (1974) <doi:10.1007/BF01942293>.
Author: Martin Haringa [aut, cre]
Maintainer: Martin Haringa <mtharinga@gmail.com>

Diff between spatialrisk versions 0.8.1 dated 2026-06-16 and 0.8.2 dated 2026-09-01

 spatialrisk-0.8.1/spatialrisk/man/plot.Rd                                             |only
 spatialrisk-0.8.2/spatialrisk/DESCRIPTION                                             |   23 
 spatialrisk-0.8.2/spatialrisk/MD5                                                     |   85 
 spatialrisk-0.8.2/spatialrisk/NAMESPACE                                               |    3 
 spatialrisk-0.8.2/spatialrisk/NEWS.md                                                 |   64 
 spatialrisk-0.8.2/spatialrisk/R/RcppExports.R                                         |   16 
 spatialrisk-0.8.2/spatialrisk/R/choropleth.R                                          |   10 
 spatialrisk-0.8.2/spatialrisk/R/concentration_hotspot_indexed.R                       |   24 
 spatialrisk-0.8.2/spatialrisk/R/concentration_hotspot_pair_refine.R                   |  435 +++
 spatialrisk-0.8.2/spatialrisk/R/deprecated-aliases.R                                  |    4 
 spatialrisk-0.8.2/spatialrisk/R/deprecated_highest_concentration.R                    |  210 -
 spatialrisk-0.8.2/spatialrisk/R/highest_concentration_terra.R                         |  199 +
 spatialrisk-0.8.2/spatialrisk/R/hotspot-workflow.R                                    |  342 ++
 spatialrisk-0.8.2/spatialrisk/R/points_within_radius.R                                |   14 
 spatialrisk-0.8.2/spatialrisk/R/summarise_points_by_polygon.R                         |    4 
 spatialrisk-0.8.2/spatialrisk/R/utils.R                                               |  102 
 spatialrisk-0.8.2/spatialrisk/build/partial.rdb                                       |only
 spatialrisk-0.8.2/spatialrisk/build/vignette.rds                                      |binary
 spatialrisk-0.8.2/spatialrisk/inst/benchmarks/benchmark-hotspot-500k.R                |    2 
 spatialrisk-0.8.2/spatialrisk/inst/benchmarks/benchmark-hotspot-indexed.R             |    2 
 spatialrisk-0.8.2/spatialrisk/inst/doc/fixed-radius-concentration.R                   |  111 
 spatialrisk-0.8.2/spatialrisk/inst/doc/fixed-radius-concentration.Rmd                 |  409 ++-
 spatialrisk-0.8.2/spatialrisk/inst/doc/fixed-radius-concentration.html                |  905 +++++--
 spatialrisk-0.8.2/spatialrisk/inst/doc/visualisation.R                                |   33 
 spatialrisk-0.8.2/spatialrisk/inst/doc/visualisation.Rmd                              |  123 -
 spatialrisk-0.8.2/spatialrisk/inst/doc/visualisation.html                             |  212 +
 spatialrisk-0.8.2/spatialrisk/man/choropleth.Rd                                       |   10 
 spatialrisk-0.8.2/spatialrisk/man/concentration_hotspot.Rd                            |  127 -
 spatialrisk-0.8.2/spatialrisk/man/figures/README-unnamed-chunk-10-1.png               |only
 spatialrisk-0.8.2/spatialrisk/man/highest_concentration.Rd                            |   87 
 spatialrisk-0.8.2/spatialrisk/man/mw_create.Rd                                        |   10 
 spatialrisk-0.8.2/spatialrisk/man/neighborhood_gh_search.Rd                           |   44 
 spatialrisk-0.8.2/spatialrisk/man/plot.conc.Rd                                        |   26 
 spatialrisk-0.8.2/spatialrisk/man/plot.neighborhood.Rd                                |only
 spatialrisk-0.8.2/spatialrisk/man/points_within_radius.Rd                             |   14 
 spatialrisk-0.8.2/spatialrisk/man/prepare_spatialrisk.Rd                              |   96 
 spatialrisk-0.8.2/spatialrisk/man/summarise_points_by_polygon.Rd                      |    4 
 spatialrisk-0.8.2/spatialrisk/src/RcppExports.cpp                                     |   77 
 spatialrisk-0.8.2/spatialrisk/src/concentration_hotspot_indexed.cpp                   | 1196 +++++++++-
 spatialrisk-0.8.2/spatialrisk/tests/testthat/test-concentration-hotspot-indexed.R     |    8 
 spatialrisk-0.8.2/spatialrisk/tests/testthat/test-concentration-hotspot-pair-refine.R |  315 ++
 spatialrisk-0.8.2/spatialrisk/tests/testthat/test-hotspot-point-cell-bounds.R         |only
 spatialrisk-0.8.2/spatialrisk/tests/testthat/test-hotspot-screening-bounds.R          |only
 spatialrisk-0.8.2/spatialrisk/tests/testthat/test-hotspot-workflow-search-state.R     |only
 spatialrisk-0.8.2/spatialrisk/tests/testthat/test_concentration_hotspot.R             |   82 
 spatialrisk-0.8.2/spatialrisk/vignettes/fixed-radius-concentration.Rmd                |  409 ++-
 spatialrisk-0.8.2/spatialrisk/vignettes/visualisation.Rmd                             |  123 -
 47 files changed, 4540 insertions(+), 1420 deletions(-)

More information about spatialrisk at CRAN
Permanent link

Package see updated to version 0.14.2 with previous version 0.14.1 dated 2026-06-29

Title: Model Visualisation Toolbox for 'easystats' and 'ggplot2'
Description: Provides plotting utilities supporting packages in the 'easystats' ecosystem (<https://github.com/easystats/easystats>) and some extra themes, geoms, and scales for 'ggplot2'. Color scales are based on <https://materialui.co/>. References: Lüdecke et al. (2021) <doi:10.21105/joss.03393>.
Author: Daniel Luedecke [aut, cre] , Dominique Makowski [aut, inv] , Indrajeet Patil [aut] , Mattan S. Ben-Shachar [aut, ctb] , Brenton M. Wiernik [aut, ctb] , Remi Theriault [aut, ctb] , Philip Waggoner [aut, ctb] , Jeffrey R. Stevens [ctb] , Julius Bogomolo [...truncated...]
Maintainer: Daniel Luedecke <officialeasystats@gmail.com>

Diff between see versions 0.14.1 dated 2026-06-29 and 0.14.2 dated 2026-09-01

 DESCRIPTION                                         |   20 ++-
 MD5                                                 |  104 ++++++++++----------
 NEWS.md                                             |   29 ++++-
 R/geom_from_list.R                                  |    1 
 R/plot.bayesfactor_models.R                         |   46 +++++---
 R/plot.binned_residuals.R                           |   13 +-
 R/plot.check_collinearity.R                         |   14 +-
 R/plot.check_heteroscedasticity.R                   |   45 ++++++--
 R/plot.check_homogeneity.R                          |    4 
 R/plot.check_model.R                                |   14 +-
 R/plot.check_normality.R                            |   45 +++++---
 R/plot.check_outliers.R                             |   10 +
 R/plot.check_outliers.dots.R                        |   10 -
 R/plot.check_overdisp.R                             |   16 ++-
 R/plot.check_predictions.R                          |   46 +++++---
 R/plot.compare_parameters.R                         |    2 
 R/plot.compare_performance.R                        |   10 +
 R/plot.estimate_density.R                           |   16 ++-
 R/plot.means_by_group.R                             |   14 ++
 R/plot.p_function.R                                 |   18 ++-
 R/plot.parameters_brms_meta.R                       |   10 +
 R/plot.parameters_model.R                           |    9 +
 R/plot.parameters_simulate.R                        |   11 +-
 R/plot.performance_simres.R                         |   14 +-
 R/plots.R                                           |    2 
 man/plot.see_bayesfactor_models.Rd                  |    8 -
 man/plot.see_check_collinearity.Rd                  |    5 
 man/plot.see_check_heteroscedasticity.Rd            |    5 
 man/plot.see_check_normality.Rd                     |    5 
 man/plot.see_check_outliers.Rd                      |    5 
 man/plot.see_compare_performance.Rd                 |    5 
 man/plot.see_dw_groupmeans.Rd                       |    2 
 man/plot.see_estimate_density.Rd                    |    5 
 man/plot.see_p_function.Rd                          |    5 
 man/plot.see_parameters_brms_meta.Rd                |    5 
 man/plot.see_parameters_simulate.Rd                 |    5 
 man/plot.see_performance_simres.Rd                  |    5 
 man/print.see_performance_pp_check.Rd               |    7 -
 man/see-package.Rd                                  |    1 
 tests/testthat/test-plot.binned_residuals.R         |only
 tests/testthat/test-plot.check_heteroscedasticity.R |   51 +++++++++
 tests/testthat/test-plot.cluster_analysis.R         |   14 ++
 tests/testthat/test-plot.compare_performance.R      |   15 ++
 tests/testthat/test-plot.describe_distribution.R    |   14 ++
 tests/testthat/test-plot.dw_data_tabulate.R         |   13 ++
 tests/testthat/test-plot.easycormatrix.R            |   14 ++
 tests/testthat/test-plot.equivalence_test.R         |   15 ++
 tests/testthat/test-plot.p_function.R               |only
 tests/testthat/test-plot.parameters_pca.R           |   16 +++
 tests/testthat/test-plot.parameters_simulate.R      |   15 ++
 tests/testthat/test-plot.point_estimates.R          |   32 ++++++
 tests/testthat/test-plot.rope.R                     |   32 ++++++
 tests/testthat/test-vdiffr_check_model.R            |   22 ++++
 tests/testthat/test-vdiffr_check_predictions.R      |   10 +
 54 files changed, 642 insertions(+), 212 deletions(-)

More information about see at CRAN
Permanent link

Package hBayesDM readmission to version 2.0.0 with previous version 1.2.1 dated 2022-09-23

Title: Hierarchical Bayesian Modeling of Decision-Making Tasks
Description: Fit an array of decision-making tasks with computational models in a hierarchical Bayesian framework. Can perform hierarchical Bayesian analysis of various computational models with a single line of coding (Ahn et al., 2017) <doi:10.1162/CPSY_a_00002>.
Author: CCS Lab [cre], Woo-Young Ahn [aut], Nate Haines [aut], Lei Zhang [aut], Jinwoo Jeong [ctb], Harhim Park [ctb], Jaeyeong Yang [ctb], Jethro Lee [ctb]
Maintainer: CCS Lab <ccsl.snu@gmail.com>

This is a re-admission after prior archival of version 1.2.1 dated 2022-09-23

Diff between hBayesDM versions 1.2.1 dated 2022-09-23 and 2.0.0 dated 2026-09-01

 hBayesDM-1.2.1/hBayesDM/R/HDIofMCMC.R                                  |only
 hBayesDM-1.2.1/hBayesDM/R/plotDist.R                                   |only
 hBayesDM-1.2.1/hBayesDM/R/plotHDI.R                                    |only
 hBayesDM-1.2.1/hBayesDM/R/plotInd.R                                    |only
 hBayesDM-1.2.1/hBayesDM/R/printFit.R                                   |only
 hBayesDM-1.2.1/hBayesDM/R/stanmodels.R                                 |only
 hBayesDM-1.2.1/hBayesDM/inst/include                                   |only
 hBayesDM-1.2.1/hBayesDM/man/HDIofMCMC.Rd                               |only
 hBayesDM-1.2.1/hBayesDM/man/plotDist.Rd                                |only
 hBayesDM-1.2.1/hBayesDM/man/plotHDI.Rd                                 |only
 hBayesDM-1.2.1/hBayesDM/man/plotInd.Rd                                 |only
 hBayesDM-1.2.1/hBayesDM/man/printFit.Rd                                |only
 hBayesDM-1.2.1/hBayesDM/src                                            |only
 hBayesDM-1.2.1/hBayesDM/tools                                          |only
 hBayesDM-2.0.0/hBayesDM/DESCRIPTION                                    |   43 
 hBayesDM-2.0.0/hBayesDM/MD5                                            |  460 +++---
 hBayesDM-2.0.0/hBayesDM/NAMESPACE                                      |   85 -
 hBayesDM-2.0.0/hBayesDM/NEWS.md                                        |   88 +
 hBayesDM-2.0.0/hBayesDM/R/alt_delta.R                                  |    3 
 hBayesDM-2.0.0/hBayesDM/R/alt_gamma.R                                  |    3 
 hBayesDM-2.0.0/hBayesDM/R/bandit2arm_delta.R                           |    4 
 hBayesDM-2.0.0/hBayesDM/R/bandit4arm2_kalman_filter.R                  |    3 
 hBayesDM-2.0.0/hBayesDM/R/bandit4arm_2par_lapse.R                      |    4 
 hBayesDM-2.0.0/hBayesDM/R/bandit4arm_4par.R                            |    4 
 hBayesDM-2.0.0/hBayesDM/R/bandit4arm_lapse.R                           |    4 
 hBayesDM-2.0.0/hBayesDM/R/bandit4arm_lapse_decay.R                     |    4 
 hBayesDM-2.0.0/hBayesDM/R/bandit4arm_singleA_lapse.R                   |    4 
 hBayesDM-2.0.0/hBayesDM/R/banditNarm_2par_lapse.R                      |    5 
 hBayesDM-2.0.0/hBayesDM/R/banditNarm_4par.R                            |    5 
 hBayesDM-2.0.0/hBayesDM/R/banditNarm_delta.R                           |    5 
 hBayesDM-2.0.0/hBayesDM/R/banditNarm_kalman_filter.R                   |    5 
 hBayesDM-2.0.0/hBayesDM/R/banditNarm_lapse.R                           |    5 
 hBayesDM-2.0.0/hBayesDM/R/banditNarm_lapse_decay.R                     |    5 
 hBayesDM-2.0.0/hBayesDM/R/banditNarm_singleA_lapse.R                   |    5 
 hBayesDM-2.0.0/hBayesDM/R/bart_ewmv.R                                  |    3 
 hBayesDM-2.0.0/hBayesDM/R/bart_par4.R                                  |    3 
 hBayesDM-2.0.0/hBayesDM/R/cgt_cm.R                                     |    3 
 hBayesDM-2.0.0/hBayesDM/R/choiceRT_ddm.R                               |    7 
 hBayesDM-2.0.0/hBayesDM/R/choiceRT_ddm_single.R                        |    7 
 hBayesDM-2.0.0/hBayesDM/R/choiceRT_lba.R                               |  147 --
 hBayesDM-2.0.0/hBayesDM/R/choiceRT_lba_single.R                        |  143 --
 hBayesDM-2.0.0/hBayesDM/R/cra_exp.R                                    |    2 
 hBayesDM-2.0.0/hBayesDM/R/cra_linear.R                                 |    2 
 hBayesDM-2.0.0/hBayesDM/R/dbdm_prob_weight.R                           |    3 
 hBayesDM-2.0.0/hBayesDM/R/dd_cs.R                                      |    4 
 hBayesDM-2.0.0/hBayesDM/R/dd_cs_single.R                               |    4 
 hBayesDM-2.0.0/hBayesDM/R/dd_exp.R                                     |    4 
 hBayesDM-2.0.0/hBayesDM/R/dd_hyperbolic.R                              |    4 
 hBayesDM-2.0.0/hBayesDM/R/dd_hyperbolic_single.R                       |    4 
 hBayesDM-2.0.0/hBayesDM/R/extract_ic.R                                 |   36 
 hBayesDM-2.0.0/hBayesDM/R/fit_cmdstan.R                                |only
 hBayesDM-2.0.0/hBayesDM/R/gng_m1.R                                     |    3 
 hBayesDM-2.0.0/hBayesDM/R/gng_m2.R                                     |    3 
 hBayesDM-2.0.0/hBayesDM/R/gng_m3.R                                     |    3 
 hBayesDM-2.0.0/hBayesDM/R/gng_m4.R                                     |    3 
 hBayesDM-2.0.0/hBayesDM/R/hBayesDM.R                                   |    7 
 hBayesDM-2.0.0/hBayesDM/R/hBayesDM_model.R                             |  245 ++-
 hBayesDM-2.0.0/hBayesDM/R/hdi.R                                        |only
 hBayesDM-2.0.0/hBayesDM/R/hgf_ibrb.R                                   |only
 hBayesDM-2.0.0/hBayesDM/R/hgf_ibrb_single.R                            |only
 hBayesDM-2.0.0/hBayesDM/R/igt_orl.R                                    |    4 
 hBayesDM-2.0.0/hBayesDM/R/igt_pvl_decay.R                              |    5 
 hBayesDM-2.0.0/hBayesDM/R/igt_pvl_delta.R                              |    5 
 hBayesDM-2.0.0/hBayesDM/R/igt_vpp.R                                    |    5 
 hBayesDM-2.0.0/hBayesDM/R/peer_ocu.R                                   |    3 
 hBayesDM-2.0.0/hBayesDM/R/plot.hBayesDM.R                              |   45 
 hBayesDM-2.0.0/hBayesDM/R/plot_dist.R                                  |only
 hBayesDM-2.0.0/hBayesDM/R/plot_hdi.R                                   |only
 hBayesDM-2.0.0/hBayesDM/R/plot_ind.R                                   |only
 hBayesDM-2.0.0/hBayesDM/R/preprocess_funcs.R                           |  117 +
 hBayesDM-2.0.0/hBayesDM/R/print_fit.R                                  |only
 hBayesDM-2.0.0/hBayesDM/R/prl_ewa.R                                    |    2 
 hBayesDM-2.0.0/hBayesDM/R/prl_fictitious.R                             |    2 
 hBayesDM-2.0.0/hBayesDM/R/prl_fictitious_multipleB.R                   |    2 
 hBayesDM-2.0.0/hBayesDM/R/prl_fictitious_rp.R                          |    2 
 hBayesDM-2.0.0/hBayesDM/R/prl_fictitious_rp_woa.R                      |    2 
 hBayesDM-2.0.0/hBayesDM/R/prl_fictitious_woa.R                         |    2 
 hBayesDM-2.0.0/hBayesDM/R/prl_rp.R                                     |    2 
 hBayesDM-2.0.0/hBayesDM/R/prl_rp_multipleB.R                           |    2 
 hBayesDM-2.0.0/hBayesDM/R/pstRT_ddm.R                                  |    6 
 hBayesDM-2.0.0/hBayesDM/R/pstRT_rlddm1.R                               |    8 
 hBayesDM-2.0.0/hBayesDM/R/pstRT_rlddm6.R                               |    8 
 hBayesDM-2.0.0/hBayesDM/R/pst_Q.R                                      |    5 
 hBayesDM-2.0.0/hBayesDM/R/pst_gainloss_Q.R                             |    3 
 hBayesDM-2.0.0/hBayesDM/R/ra_noLA.R                                    |    4 
 hBayesDM-2.0.0/hBayesDM/R/ra_noRA.R                                    |    4 
 hBayesDM-2.0.0/hBayesDM/R/ra_prospect.R                                |    4 
 hBayesDM-2.0.0/hBayesDM/R/rdt_happiness.R                              |    3 
 hBayesDM-2.0.0/hBayesDM/R/rhat.R                                       |   24 
 hBayesDM-2.0.0/hBayesDM/R/settings.R                                   |    8 
 hBayesDM-2.0.0/hBayesDM/R/task2AFC_sdt.R                               |    6 
 hBayesDM-2.0.0/hBayesDM/R/ts_par4.R                                    |    4 
 hBayesDM-2.0.0/hBayesDM/R/ts_par6.R                                    |    4 
 hBayesDM-2.0.0/hBayesDM/R/ts_par7.R                                    |    4 
 hBayesDM-2.0.0/hBayesDM/R/ug_bayes.R                                   |    4 
 hBayesDM-2.0.0/hBayesDM/R/ug_delta.R                                   |    4 
 hBayesDM-2.0.0/hBayesDM/R/wcs_sql.R                                    |    3 
 hBayesDM-2.0.0/hBayesDM/R/zzz.R                                        |    9 
 hBayesDM-2.0.0/hBayesDM/inst/CITATION                                  |   16 
 hBayesDM-2.0.0/hBayesDM/inst/extdata/hgf_ibrb_exampleData.txt          |only
 hBayesDM-2.0.0/hBayesDM/inst/extdata/hgf_ibrb_single_exampleData.txt   |only
 hBayesDM-2.0.0/hBayesDM/inst/plotting/plot_functions.R                 |  671 +++++-----
 hBayesDM-2.0.0/hBayesDM/inst/stan_files/alt_delta.stan                 |  123 -
 hBayesDM-2.0.0/hBayesDM/inst/stan_files/alt_gamma.stan                 |  141 +-
 hBayesDM-2.0.0/hBayesDM/inst/stan_files/bandit2arm_delta.stan          |  100 -
 hBayesDM-2.0.0/hBayesDM/inst/stan_files/bandit4arm2_kalman_filter.stan |  216 +--
 hBayesDM-2.0.0/hBayesDM/inst/stan_files/bandit4arm_2par_lapse.stan     |  141 +-
 hBayesDM-2.0.0/hBayesDM/inst/stan_files/bandit4arm_4par.stan           |  136 +-
 hBayesDM-2.0.0/hBayesDM/inst/stan_files/bandit4arm_lapse.stan          |  153 +-
 hBayesDM-2.0.0/hBayesDM/inst/stan_files/bandit4arm_lapse_decay.stan    |  173 +-
 hBayesDM-2.0.0/hBayesDM/inst/stan_files/bandit4arm_singleA_lapse.stan  |  147 +-
 hBayesDM-2.0.0/hBayesDM/inst/stan_files/banditNarm_2par_lapse.stan     |  141 +-
 hBayesDM-2.0.0/hBayesDM/inst/stan_files/banditNarm_4par.stan           |  136 +-
 hBayesDM-2.0.0/hBayesDM/inst/stan_files/banditNarm_delta.stan          |  107 -
 hBayesDM-2.0.0/hBayesDM/inst/stan_files/banditNarm_kalman_filter.stan  |  212 +--
 hBayesDM-2.0.0/hBayesDM/inst/stan_files/banditNarm_lapse.stan          |  153 +-
 hBayesDM-2.0.0/hBayesDM/inst/stan_files/banditNarm_lapse_decay.stan    |  173 +-
 hBayesDM-2.0.0/hBayesDM/inst/stan_files/banditNarm_singleA_lapse.stan  |  147 +-
 hBayesDM-2.0.0/hBayesDM/inst/stan_files/bart_ewmv.stan                 |  144 +-
 hBayesDM-2.0.0/hBayesDM/inst/stan_files/bart_par4.stan                 |  126 +
 hBayesDM-2.0.0/hBayesDM/inst/stan_files/cgt_cm.stan                    |  182 +-
 hBayesDM-2.0.0/hBayesDM/inst/stan_files/choiceRT_ddm.stan              |   95 -
 hBayesDM-2.0.0/hBayesDM/inst/stan_files/choiceRT_ddm_single.stan       |   54 
 hBayesDM-2.0.0/hBayesDM/inst/stan_files/choiceRT_lba.stan              |  224 +--
 hBayesDM-2.0.0/hBayesDM/inst/stan_files/choiceRT_lba_single.stan       |  168 +-
 hBayesDM-2.0.0/hBayesDM/inst/stan_files/cra_exp.stan                   |  143 +-
 hBayesDM-2.0.0/hBayesDM/inst/stan_files/cra_linear.stan                |  139 +-
 hBayesDM-2.0.0/hBayesDM/inst/stan_files/dbdm_prob_weight.stan          |  223 +--
 hBayesDM-2.0.0/hBayesDM/inst/stan_files/dd_cs.stan                     |  130 +
 hBayesDM-2.0.0/hBayesDM/inst/stan_files/dd_cs_single.stan              |   78 -
 hBayesDM-2.0.0/hBayesDM/inst/stan_files/dd_exp.stan                    |  102 -
 hBayesDM-2.0.0/hBayesDM/inst/stan_files/dd_hyperbolic.stan             |  106 -
 hBayesDM-2.0.0/hBayesDM/inst/stan_files/dd_hyperbolic_single.stan      |   67 
 hBayesDM-2.0.0/hBayesDM/inst/stan_files/gng_m1.stan                    |  184 +-
 hBayesDM-2.0.0/hBayesDM/inst/stan_files/gng_m2.stan                    |  204 +--
 hBayesDM-2.0.0/hBayesDM/inst/stan_files/gng_m3.stan                    |  224 +--
 hBayesDM-2.0.0/hBayesDM/inst/stan_files/gng_m4.stan                    |  263 ++-
 hBayesDM-2.0.0/hBayesDM/inst/stan_files/hgf_ibrb.stan                  |only
 hBayesDM-2.0.0/hBayesDM/inst/stan_files/hgf_ibrb_single.stan           |only
 hBayesDM-2.0.0/hBayesDM/inst/stan_files/igt_orl.stan                   |  219 +--
 hBayesDM-2.0.0/hBayesDM/inst/stan_files/igt_pvl_decay.stan             |  138 +-
 hBayesDM-2.0.0/hBayesDM/inst/stan_files/igt_pvl_delta.stan             |  142 +-
 hBayesDM-2.0.0/hBayesDM/inst/stan_files/igt_vpp.stan                   |  208 +--
 hBayesDM-2.0.0/hBayesDM/inst/stan_files/peer_ocu.stan                  |  113 -
 hBayesDM-2.0.0/hBayesDM/inst/stan_files/prl_ewa.stan                   |  149 +-
 hBayesDM-2.0.0/hBayesDM/inst/stan_files/prl_fictitious.stan            |  181 +-
 hBayesDM-2.0.0/hBayesDM/inst/stan_files/prl_fictitious_multipleB.stan  |  201 +-
 hBayesDM-2.0.0/hBayesDM/inst/stan_files/prl_fictitious_rp.stan         |  209 +--
 hBayesDM-2.0.0/hBayesDM/inst/stan_files/prl_fictitious_rp_woa.stan     |  197 +-
 hBayesDM-2.0.0/hBayesDM/inst/stan_files/prl_fictitious_woa.stan        |  179 +-
 hBayesDM-2.0.0/hBayesDM/inst/stan_files/prl_rp.stan                    |  155 +-
 hBayesDM-2.0.0/hBayesDM/inst/stan_files/prl_rp_multipleB.stan          |  163 +-
 hBayesDM-2.0.0/hBayesDM/inst/stan_files/pstRT_ddm.stan                 |  136 --
 hBayesDM-2.0.0/hBayesDM/inst/stan_files/pstRT_rlddm1.stan              |  192 +-
 hBayesDM-2.0.0/hBayesDM/inst/stan_files/pstRT_rlddm6.stan              |  229 +--
 hBayesDM-2.0.0/hBayesDM/inst/stan_files/pst_Q.stan                     |  112 -
 hBayesDM-2.0.0/hBayesDM/inst/stan_files/pst_gainloss_Q.stan            |  112 -
 hBayesDM-2.0.0/hBayesDM/inst/stan_files/ra_noLA.stan                   |   93 -
 hBayesDM-2.0.0/hBayesDM/inst/stan_files/ra_noRA.stan                   |   97 -
 hBayesDM-2.0.0/hBayesDM/inst/stan_files/ra_prospect.stan               |  115 -
 hBayesDM-2.0.0/hBayesDM/inst/stan_files/rdt_happiness.stan             |  159 +-
 hBayesDM-2.0.0/hBayesDM/inst/stan_files/task2AFC_sdt.stan              |   67 
 hBayesDM-2.0.0/hBayesDM/inst/stan_files/ts_par4.stan                   |  327 ++--
 hBayesDM-2.0.0/hBayesDM/inst/stan_files/ts_par6.stan                   |  341 ++---
 hBayesDM-2.0.0/hBayesDM/inst/stan_files/ts_par7.stan                   |  347 ++---
 hBayesDM-2.0.0/hBayesDM/inst/stan_files/ug_bayes.stan                  |  185 +-
 hBayesDM-2.0.0/hBayesDM/inst/stan_files/ug_delta.stan                  |  126 -
 hBayesDM-2.0.0/hBayesDM/inst/stan_files/wcs_sql.stan                   |  201 +-
 hBayesDM-2.0.0/hBayesDM/man/alt_delta.Rd                               |   42 
 hBayesDM-2.0.0/hBayesDM/man/alt_gamma.Rd                               |   42 
 hBayesDM-2.0.0/hBayesDM/man/bandit2arm_delta.Rd                        |   41 
 hBayesDM-2.0.0/hBayesDM/man/bandit4arm2_kalman_filter.Rd               |   42 
 hBayesDM-2.0.0/hBayesDM/man/bandit4arm_2par_lapse.Rd                   |   41 
 hBayesDM-2.0.0/hBayesDM/man/bandit4arm_4par.Rd                         |   41 
 hBayesDM-2.0.0/hBayesDM/man/bandit4arm_lapse.Rd                        |   41 
 hBayesDM-2.0.0/hBayesDM/man/bandit4arm_lapse_decay.Rd                  |   41 
 hBayesDM-2.0.0/hBayesDM/man/bandit4arm_singleA_lapse.Rd                |   41 
 hBayesDM-2.0.0/hBayesDM/man/banditNarm_2par_lapse.Rd                   |   42 
 hBayesDM-2.0.0/hBayesDM/man/banditNarm_4par.Rd                         |   42 
 hBayesDM-2.0.0/hBayesDM/man/banditNarm_delta.Rd                        |   42 
 hBayesDM-2.0.0/hBayesDM/man/banditNarm_kalman_filter.Rd                |   42 
 hBayesDM-2.0.0/hBayesDM/man/banditNarm_lapse.Rd                        |   42 
 hBayesDM-2.0.0/hBayesDM/man/banditNarm_lapse_decay.Rd                  |   42 
 hBayesDM-2.0.0/hBayesDM/man/banditNarm_singleA_lapse.Rd                |   42 
 hBayesDM-2.0.0/hBayesDM/man/bart_ewmv.Rd                               |   42 
 hBayesDM-2.0.0/hBayesDM/man/bart_par4.Rd                               |   42 
 hBayesDM-2.0.0/hBayesDM/man/cgt_cm.Rd                                  |   42 
 hBayesDM-2.0.0/hBayesDM/man/choiceRT_ddm.Rd                            |   41 
 hBayesDM-2.0.0/hBayesDM/man/choiceRT_ddm_single.Rd                     |   41 
 hBayesDM-2.0.0/hBayesDM/man/choiceRT_lba.Rd                            |   30 
 hBayesDM-2.0.0/hBayesDM/man/choiceRT_lba_single.Rd                     |   30 
 hBayesDM-2.0.0/hBayesDM/man/cra_exp.Rd                                 |   42 
 hBayesDM-2.0.0/hBayesDM/man/cra_linear.Rd                              |   42 
 hBayesDM-2.0.0/hBayesDM/man/dbdm_prob_weight.Rd                        |   42 
 hBayesDM-2.0.0/hBayesDM/man/dd_cs.Rd                                   |   41 
 hBayesDM-2.0.0/hBayesDM/man/dd_cs_single.Rd                            |   41 
 hBayesDM-2.0.0/hBayesDM/man/dd_exp.Rd                                  |   41 
 hBayesDM-2.0.0/hBayesDM/man/dd_hyperbolic.Rd                           |   41 
 hBayesDM-2.0.0/hBayesDM/man/dd_hyperbolic_single.Rd                    |   41 
 hBayesDM-2.0.0/hBayesDM/man/dot-hbayesdm_compile.Rd                    |only
 hBayesDM-2.0.0/hBayesDM/man/dot-hbayesdm_extract.Rd                    |only
 hBayesDM-2.0.0/hBayesDM/man/dot-hbayesdm_fit.Rd                        |only
 hBayesDM-2.0.0/hBayesDM/man/dot-hbayesdm_resolve_inits.Rd              |only
 hBayesDM-2.0.0/hBayesDM/man/dot-hbayesdm_stan_file.Rd                  |only
 hBayesDM-2.0.0/hBayesDM/man/extract_ic.Rd                              |    3 
 hBayesDM-2.0.0/hBayesDM/man/gng_m1.Rd                                  |   41 
 hBayesDM-2.0.0/hBayesDM/man/gng_m2.Rd                                  |   41 
 hBayesDM-2.0.0/hBayesDM/man/gng_m3.Rd                                  |   41 
 hBayesDM-2.0.0/hBayesDM/man/gng_m4.Rd                                  |   41 
 hBayesDM-2.0.0/hBayesDM/man/hBayesDM_model.Rd                          |    9 
 hBayesDM-2.0.0/hBayesDM/man/hbayesdm-cmdstan.Rd                        |only
 hBayesDM-2.0.0/hBayesDM/man/hdi.Rd                                     |only
 hBayesDM-2.0.0/hBayesDM/man/hgf_ibrb.Rd                                |only
 hBayesDM-2.0.0/hBayesDM/man/hgf_ibrb_single.Rd                         |only
 hBayesDM-2.0.0/hBayesDM/man/igt_orl.Rd                                 |   42 
 hBayesDM-2.0.0/hBayesDM/man/igt_pvl_decay.Rd                           |   41 
 hBayesDM-2.0.0/hBayesDM/man/igt_pvl_delta.Rd                           |   41 
 hBayesDM-2.0.0/hBayesDM/man/igt_vpp.Rd                                 |   41 
 hBayesDM-2.0.0/hBayesDM/man/peer_ocu.Rd                                |   42 
 hBayesDM-2.0.0/hBayesDM/man/plot.hBayesDM.Rd                           |    8 
 hBayesDM-2.0.0/hBayesDM/man/plot_dist.Rd                               |only
 hBayesDM-2.0.0/hBayesDM/man/plot_hdi.Rd                                |only
 hBayesDM-2.0.0/hBayesDM/man/plot_ind.Rd                                |only
 hBayesDM-2.0.0/hBayesDM/man/print_fit.Rd                               |only
 hBayesDM-2.0.0/hBayesDM/man/prl_ewa.Rd                                 |   42 
 hBayesDM-2.0.0/hBayesDM/man/prl_fictitious.Rd                          |   42 
 hBayesDM-2.0.0/hBayesDM/man/prl_fictitious_multipleB.Rd                |   42 
 hBayesDM-2.0.0/hBayesDM/man/prl_fictitious_rp.Rd                       |   42 
 hBayesDM-2.0.0/hBayesDM/man/prl_fictitious_rp_woa.Rd                   |   42 
 hBayesDM-2.0.0/hBayesDM/man/prl_fictitious_woa.Rd                      |   42 
 hBayesDM-2.0.0/hBayesDM/man/prl_rp.Rd                                  |   42 
 hBayesDM-2.0.0/hBayesDM/man/prl_rp_multipleB.Rd                        |   42 
 hBayesDM-2.0.0/hBayesDM/man/pstRT_ddm.Rd                               |   44 
 hBayesDM-2.0.0/hBayesDM/man/pstRT_rlddm1.Rd                            |   46 
 hBayesDM-2.0.0/hBayesDM/man/pstRT_rlddm6.Rd                            |   46 
 hBayesDM-2.0.0/hBayesDM/man/pst_Q.Rd                                   |   44 
 hBayesDM-2.0.0/hBayesDM/man/pst_gainloss_Q.Rd                          |   42 
 hBayesDM-2.0.0/hBayesDM/man/ra_noLA.Rd                                 |   41 
 hBayesDM-2.0.0/hBayesDM/man/ra_noRA.Rd                                 |   41 
 hBayesDM-2.0.0/hBayesDM/man/ra_prospect.Rd                             |   41 
 hBayesDM-2.0.0/hBayesDM/man/rdt_happiness.Rd                           |   42 
 hBayesDM-2.0.0/hBayesDM/man/task2AFC_sdt.Rd                            |   44 
 hBayesDM-2.0.0/hBayesDM/man/ts_par4.Rd                                 |   42 
 hBayesDM-2.0.0/hBayesDM/man/ts_par6.Rd                                 |   42 
 hBayesDM-2.0.0/hBayesDM/man/ts_par7.Rd                                 |   42 
 hBayesDM-2.0.0/hBayesDM/man/ug_bayes.Rd                                |   41 
 hBayesDM-2.0.0/hBayesDM/man/ug_delta.Rd                                |   41 
 hBayesDM-2.0.0/hBayesDM/man/wcs_sql.Rd                                 |   42 
 hBayesDM-2.0.0/hBayesDM/tests/testthat/test_hgf_ibrb.R                 |only
 hBayesDM-2.0.0/hBayesDM/tests/testthat/test_hgf_ibrb_single.R          |only
 hBayesDM-2.0.0/hBayesDM/tests/testthat/test_user_facing.R              |only
 251 files changed, 8571 insertions(+), 6836 deletions(-)

More information about hBayesDM at CRAN
Permanent link

Package ExpDesignR updated to version 1.0.0 with previous version 0.1.0 dated 2026-08-27

Title: Experimental Design and Randomization Methods for Biomedical and Veterinary Research
Description: Provides reproducible methods for experimental design and treatment allocation in biomedical, veterinary, agricultural, and clinical research. Includes simple, fixed-block, variable-block, stratified, stratified-block, cluster, matched-pair, restricted, minimization, and covariate-adaptive randomization, together with completely randomized, randomized-block, factorial, split-plot, Latin square, and crossover designs. Also provides allocation summaries, balance diagnostics, schedule export, and visualization. The methods are based on established principles of randomization and experimental design; see Rosenberger and Lachin (2015, ISBN:9781118742242) and Jones and Kenward (2014, ISBN:9781439861424).
Author: Vinodhkumar Obli Rajendran [aut, cre], Keerthi Aaradhana [aut]
Maintainer: Vinodhkumar Obli Rajendran <vinodhkumar.rajendran@gmail.com>

Diff between ExpDesignR versions 0.1.0 dated 2026-08-27 and 1.0.0 dated 2026-09-01

 DESCRIPTION                                      |   31 +-
 MD5                                              |   62 +++-
 NAMESPACE                                        |   80 +++---
 NEWS.md                                          |   47 ++-
 R/block_randomization.R                          |  163 ++++++++----
 R/cluster_randomization.R                        |   73 +----
 R/covariate_adaptive_randomization.R             |only
 R/designs_additional.R                           |only
 R/matched_pair_randomization.R                   |only
 R/minimization_randomization.R                   |only
 R/randomization_diagnostics.R                    |only
 R/randomization_utils.R                          |only
 R/restricted_randomization.R                     |only
 R/simple_randomization.R                         |   62 +---
 R/stratified_block_randomization.R               |only
 R/stratified_randomization.R                     |  107 ++------
 R/variable_block_randomization.R                 |only
 R/zzz.R                                          |only
 README.md                                        |   53 +++-
 inst/doc/getting-started.R                       |   31 ++
 inst/doc/getting-started.Rmd                     |   68 ++++-
 inst/doc/getting-started.html                    |  295 ++++++++++++++++++++++-
 man/balance_check.Rd                             |only
 man/block_randomization.Rd                       |   21 -
 man/cluster_randomization.Rd                     |   18 -
 man/completely_randomized_design.Rd              |only
 man/covariate_adaptive_randomization.Rd          |only
 man/export_schedule.Rd                           |    4 
 man/factorial_design.Rd                          |only
 man/matched_pair_randomization.Rd                |only
 man/minimization_randomization.Rd                |only
 man/randomization_diagnostics.Rd                 |only
 man/randomized_block_design.Rd                   |only
 man/restricted_randomization.Rd                  |only
 man/simple_randomization.Rd                      |   10 
 man/split_plot_design.Rd                         |only
 man/stratified_block_randomization.Rd            |only
 man/stratified_randomization.Rd                  |   30 --
 man/variable_block_randomization.Rd              |only
 tests/testthat/test-block-randomization.R        |only
 tests/testthat/test-core_randomization.R         |    8 
 tests/testthat/test-matched-pair-randomization.R |only
 tests/testthat/test-phase1.R                     |only
 tests/testthat/test-randomization-diagnostics.R  |only
 vignettes/getting-started.Rmd                    |   68 ++++-
 45 files changed, 825 insertions(+), 406 deletions(-)

More information about ExpDesignR at CRAN
Permanent link

Package BATSS updated to version 1.2.1 with previous version 1.2.0 dated 2026-05-28

Title: Bayesian Adaptive Trial Simulator Software (BATSS) for Generalised Linear Models
Description: Defines operating characteristics of Bayesian Adaptive Trials considering a generalised linear model response via Monte Carlo simulations of Bayesian GLM fitted via integrated Laplace approximations (INLA).
Author: Dominique-Laurent Couturier [aut, cre] , Liz Ryan [aut] , Rainer Puhr [aut], Thomas Jaki [aut] , Stephane Heritier [aut]
Maintainer: Dominique-Laurent Couturier <dominique.couturier@mrc-bsu.cam.ac.uk>

Diff between BATSS versions 1.2.0 dated 2026-05-28 and 1.2.1 dated 2026-09-01

 DESCRIPTION |    6 +++---
 MD5         |    4 ++--
 R/glm.R     |    2 +-
 3 files changed, 6 insertions(+), 6 deletions(-)

More information about BATSS at CRAN
Permanent link

Package dlsem (with last version 2.4.6) was removed from CRAN

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

2020-04-16 2.4.6
2019-11-03 2.4.5
2019-10-16 2.4.4
2019-08-20 2.4.3
2019-05-27 2.4.2
2019-01-10 2.4.1
2018-08-08 2.4
2018-06-08 2.3
2018-03-03 2.2
2018-01-03 2.1
2017-12-05 2.0
2017-07-23 1.9
2017-06-12 1.8
2017-01-09 1.7
2016-11-23 1.5
2016-10-03 1.4
2016-09-16 1.3.2
2016-09-12 1.3.1
2016-08-23 1.3.0
2016-07-05 1.2.1
2016-06-20 1.2.0
2016-06-13 1.0.3
2016-05-24 1.0.1
2016-05-19 1.0

Permanent link
New package phynotype with initial version 0.6.2
Package: phynotype
Title: Clustering and Consensus Meta-Clustering
Version: 0.6.2
Author: Imad El Badisy [aut, cre]
Maintainer: Imad El Badisy <elbadisyimad@gmail.com>
Description: Tools for clustering, consensus meta-clustering, validation, exploratory interpretation, cluster prediction, and plotting. The package provides a clustering workflow with consensus clustering following Strehl and Ghosh (2002) <https://www.jmlr.org/papers/v3/strehl02a.html>.
URL: https://CRAN.R-project.org/package=phynotype
BugReports: https://github.com/ielbadisy/phynotype/issues
License: MIT + file LICENSE
Encoding: UTF-8
Imports: cluster, clustMixType, dbscan, functionals, ggplot2, ggrepel, mclust, parallel, rlang, stats, utils
Suggests: FactoMineR, testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-08-21 14:46:53 UTC; imad-el-badisy
Repository: CRAN
Date/Publication: 2026-09-01 11:30:02 UTC

More information about phynotype at CRAN
Permanent link

Package osmdata updated to version 0.4.1 with previous version 0.4.0 dated 2026-06-15

Title: Import 'OpenStreetMap' Data as Simple Features or Spatial Objects
Description: Download and import of 'OpenStreetMap' ('OSM') data as 'sf' or 'sp' objects. 'OSM' data are extracted from the 'Overpass' web server (<https://overpass-api.de/>) and processed with very fast 'C++' routines for return to 'R'.
Author: Joan Maspons [aut, cre] , Mark Padgham [aut], Bob Rudis [aut], Robin Lovelace [aut], Maelle Salmon [aut], Andrew Smith [ctb], James Smith [ctb], Andrea Gilardi [ctb], Enrico Spinielli [ctb], Anthony North [ctb], Martin Machyna [ctb], Marcin Kalicinsk [...truncated...]
Maintainer: Joan Maspons <joanmaspons@gmail.com>

Diff between osmdata versions 0.4.0 dated 2026-06-15 and 0.4.1 dated 2026-09-01

 DESCRIPTION                       |   17 ++++----
 MD5                               |   63 ++++++++++++++++--------------
 NAMESPACE                         |    1 
 NEWS.md                           |   13 ++++++
 R/elevation.R                     |   18 +++-----
 R/features.R                      |    2 
 R/get-osmdata-sf.R                |   20 ++++++---
 R/getbb.R                         |    3 +
 R/opq.R                           |    2 
 R/overpass-query.R                |   52 +++++++++++++++++++------
 R/zzz.R                           |   79 ++++++++++++++++++++++++--------------
 README.md                         |   19 ++++++++-
 build/vignette.rds                |binary
 inst/doc/osm-sf-translation.html  |    4 -
 inst/doc/osmdata-sc.R             |    7 ---
 inst/doc/osmdata-sc.Rmd           |   16 ++-----
 inst/doc/osmdata-sc.html          |   12 ++---
 inst/doc/osmdata.R                |    2 
 inst/doc/osmdata.Rmd              |    2 
 inst/doc/osmdata.html             |   11 ++---
 inst/doc/query-split.html         |    4 -
 man/add_osm_feature.Rd            |    2 
 man/add_osm_features.Rd           |    2 
 man/get_overpass_url.Rd           |    3 -
 man/list_overpass_urls.Rd         |only
 man/osm_elevation.Rd              |   13 +++---
 man/set_overpass_url.Rd           |   26 ++++--------
 tests/testthat/mock_no_user_agent |only
 tests/testthat/mock_user_agent    |only
 tests/testthat/setup.R            |    1 
 tests/testthat/test-osmdata.R     |   17 ++++++++
 vignettes/osmdata-sc.Rmd          |   16 ++-----
 vignettes/osmdata.Rmd             |    2 
 33 files changed, 261 insertions(+), 168 deletions(-)

More information about osmdata at CRAN
Permanent link

Package mLLMCelltype updated to version 2.0.8 with previous version 2.0.7 dated 2026-07-21

Title: Cell Type Annotation Using Large Language Models
Description: Automated cell type annotation for single-cell RNA sequencing data using consensus predictions from multiple large language models. Integrates with Seurat objects and provides uncertainty quantification for annotations. Supports various LLM providers including OpenAI, Anthropic, and Google. For details see Yang et al. (2026) <doi:10.1038/s42003-026-10420-8>.
Author: Chen Yang [aut, cre, cph]
Maintainer: Chen Yang <cafferychen777@tamu.edu>

Diff between mLLMCelltype versions 2.0.7 dated 2026-07-21 and 2.0.8 dated 2026-09-01

 DESCRIPTION                               |    6 +-
 MD5                                       |   42 +++++++-------
 NEWS.md                                   |   17 +++++
 R/anthropic_processor.R                   |    2 
 R/base_api_processor.R                    |    2 
 R/deepseek_processor.R                    |    3 -
 R/gemini_processor.R                      |    2 
 R/kimi_processor.R                        |    2 
 R/prompt_templates.R                      |   89 ++++++++++++++++++++----------
 R/response_validation_utils.R             |   15 +++++
 inst/doc/advanced-features.html           |    4 -
 inst/doc/consensus-principles.html        |    4 -
 inst/doc/contributing-guide.html          |    4 -
 inst/doc/faq.html                         |    4 -
 inst/doc/getting-started.html             |    4 -
 inst/doc/installation.html                |    4 -
 inst/doc/introduction.html                |    4 -
 inst/doc/usage-tutorial.html              |    4 -
 inst/doc/version-history.html             |    4 -
 man/create_reasoning_annotation_prompt.Rd |    7 ++
 tests/testthat/test-annotate-reasoning.R  |   34 +++++++++++
 tests/testthat/test-api-timeout.R         |only
 tests/testthat/test-provider-deepseek.R   |only
 23 files changed, 183 insertions(+), 74 deletions(-)

More information about mLLMCelltype at CRAN
Permanent link

Package Keng updated to version 2026.9.0 with previous version 2026.3.19 dated 2026-03-19

Title: Knock Errors Off Nice Guesses
Description: Miscellaneous functions and data used in psychological research and teaching. Keng currently has four built-in datasets, and could (1) scale a vector; (2) divide a vector into three groups, (3) compute the cut-off values of Pearson's r with known sample size; (4) test the significance and compute the post-hoc power for Pearson's r with known sample size; (5) conduct a priori power analysis and plan the sample size for Pearson's r; (6) compare lm()'s fitted outputs using R-squared, f_squared, post-hoc power, and PRE (Proportional Reduction in Error, also called partial R-squared or partial Eta-squared); (7) calculate PRE from partial correlation, Cohen's f, or f_squared; (8) conduct a priori power analysis and plan the sample size for one or a set of predictors in regression analysis; (9) conduct post-hoc power analysis for one or a set of predictors in regression analysis with known sample size; (10) randomly pick numbers for Chinese Super Lotto and Double Color Balls; (11) assess cour [...truncated...]
Author: Qingyao Zhang [aut, cre]
Maintainer: Qingyao Zhang <qingyaozhang@outlook.com>

Diff between Keng versions 2026.3.19 dated 2026-03-19 and 2026.9.0 dated 2026-09-01

 Keng-2026.3.19/Keng/R/data.R                       |only
 Keng-2026.9.0/Keng/DESCRIPTION                     |   10 -
 Keng-2026.9.0/Keng/MD5                             |   67 ++++---
 Keng-2026.9.0/Keng/NEWS.md                         |    4 
 Keng-2026.9.0/Keng/R/depress.R                     |only
 Keng-2026.9.0/Keng/R/depress1.R                    |only
 Keng-2026.9.0/Keng/R/depress2.R                    |only
 Keng-2026.9.0/Keng/R/depress3.R                    |only
 Keng-2026.9.0/Keng/R/pick_dcb.R                    |    5 
 Keng-2026.9.0/Keng/R/pick_sl.R                     |  120 ++++++-------
 Keng-2026.9.0/Keng/R/well.R                        |only
 Keng-2026.9.0/Keng/R/well1.R                       |only
 Keng-2026.9.0/Keng/R/well2.R                       |only
 Keng-2026.9.0/Keng/R/well3.R                       |only
 Keng-2026.9.0/Keng/README.md                       |    7 
 Keng-2026.9.0/Keng/build/vignette.rds              |binary
 Keng-2026.9.0/Keng/data/depress.rda                |binary
 Keng-2026.9.0/Keng/data/depress1.rda               |only
 Keng-2026.9.0/Keng/data/depress2.rda               |only
 Keng-2026.9.0/Keng/data/depress3.rda               |only
 Keng-2026.9.0/Keng/data/well.rda                   |only
 Keng-2026.9.0/Keng/data/well1.rda                  |only
 Keng-2026.9.0/Keng/data/well2.rda                  |only
 Keng-2026.9.0/Keng/data/well3.rda                  |only
 Keng-2026.9.0/Keng/inst/doc/PRE.R                  |   22 +-
 Keng-2026.9.0/Keng/inst/doc/PRE.Rmd                |   22 +-
 Keng-2026.9.0/Keng/inst/doc/PRE.html               |  116 ++++++-------
 Keng-2026.9.0/Keng/inst/doc/assessCOA.html         |   18 +-
 Keng-2026.9.0/Keng/inst/doc/partialRegression.R    |    8 
 Keng-2026.9.0/Keng/inst/doc/partialRegression.Rmd  |   34 +--
 Keng-2026.9.0/Keng/inst/doc/partialRegression.html |  187 ++++++++++-----------
 Keng-2026.9.0/Keng/inst/doc/planSampleSize.R       |    8 
 Keng-2026.9.0/Keng/inst/doc/planSampleSize.Rmd     |    8 
 Keng-2026.9.0/Keng/inst/doc/planSampleSize.html    |   35 ++-
 Keng-2026.9.0/Keng/man/depress.Rd                  |   79 ++++++--
 Keng-2026.9.0/Keng/man/depress1.Rd                 |only
 Keng-2026.9.0/Keng/man/depress2.Rd                 |only
 Keng-2026.9.0/Keng/man/depress3.Rd                 |only
 Keng-2026.9.0/Keng/man/well.Rd                     |only
 Keng-2026.9.0/Keng/man/well1.Rd                    |only
 Keng-2026.9.0/Keng/man/well2.Rd                    |only
 Keng-2026.9.0/Keng/man/well3.Rd                    |only
 Keng-2026.9.0/Keng/tests/testthat/test-power_lm.R  |    5 
 Keng-2026.9.0/Keng/vignettes/PRE.Rmd               |   22 +-
 Keng-2026.9.0/Keng/vignettes/partialRegression.Rmd |   34 +--
 Keng-2026.9.0/Keng/vignettes/planSampleSize.Rmd    |    8 
 46 files changed, 444 insertions(+), 375 deletions(-)

More information about Keng at CRAN
Permanent link

Package insurancerating updated to version 0.8.2 with previous version 0.8.1 dated 2026-07-30

Title: Actuarial Tools for Insurance Pricing Models
Description: Provides actuarial tools and building blocks for analysing, modelling, refining, and validating insurance rating models. Designed to support common GLM-based pricing tasks and the translation of statistical model output into practical tariff structures. The package supports the construction of insurance tariff classes using a data-driven approach, based on the methodology of Antonio and Valdez (2012) <doi:10.1007/s10182-011-0152-7>.
Author: Martin Haringa [aut, cre]
Maintainer: Martin Haringa <mtharinga@gmail.com>

Diff between insurancerating versions 0.8.1 dated 2026-07-30 and 0.8.2 dated 2026-09-01

 insurancerating-0.8.1/insurancerating/man/autoplot.riskfactor_gam.Rd                   |only
 insurancerating-0.8.1/insurancerating/man/autoplot.tariff_segments.Rd                  |only
 insurancerating-0.8.1/insurancerating/man/relativities.Rd                              |only
 insurancerating-0.8.1/insurancerating/man/split_level.Rd                               |only
 insurancerating-0.8.2/insurancerating/DESCRIPTION                                      |   14 
 insurancerating-0.8.2/insurancerating/MD5                                              |  232 
 insurancerating-0.8.2/insurancerating/NAMESPACE                                        |   23 
 insurancerating-0.8.2/insurancerating/NEWS.md                                          |  256 
 insurancerating-0.8.2/insurancerating/R/data_MTPL.R                                    |    4 
 insurancerating-0.8.2/insurancerating/R/excess_loss.R                                  |    7 
 insurancerating-0.8.2/insurancerating/R/gam_construct_tariff_classes.R                 |  686 +
 insurancerating-0.8.2/insurancerating/R/gam_riskfactor.R                               |  459 -
 insurancerating-0.8.2/insurancerating/R/model_add_prediction.R                         |   47 
 insurancerating-0.8.2/insurancerating/R/model_calibration.R                            |only
 insurancerating-0.8.2/insurancerating/R/model_get_data.R                               |  354 
 insurancerating-0.8.2/insurancerating/R/model_performance.R                            |   70 
 insurancerating-0.8.2/insurancerating/R/model_performance_bootstrap_coefficients.R     |only
 insurancerating-0.8.2/insurancerating/R/model_performance_bootstrap_rmse.R             |   91 
 insurancerating-0.8.2/insurancerating/R/model_performance_residuals.R                  |   45 
 insurancerating-0.8.2/insurancerating/R/model_rating_table.R                           | 1005 ++
 insurancerating-0.8.2/insurancerating/R/model_rating_table_gt.R                        |  168 
 insurancerating-0.8.2/insurancerating/R/model_rating_table_plot.R                      |  196 
 insurancerating-0.8.2/insurancerating/R/model_refinement.R                             | 3740 +++++++++-
 insurancerating-0.8.2/insurancerating/R/model_refinement_audit.R                       |only
 insurancerating-0.8.2/insurancerating/R/model_refinement_plot.R                        |  440 +
 insurancerating-0.8.2/insurancerating/R/model_refinement_premium_change.R              |only
 insurancerating-0.8.2/insurancerating/R/oud_model_refinement.R                         |    5 
 insurancerating-0.8.2/insurancerating/R/outlier_histogram.R                            |    2 
 insurancerating-0.8.2/insurancerating/R/portfolio_reduction_db.R                       |only
 insurancerating-0.8.2/insurancerating/R/time_period_to_months.R                        |  207 
 insurancerating-0.8.2/insurancerating/R/time_reduce.R                                  |  295 
 insurancerating-0.8.2/insurancerating/R/time_rows_per_date.R                           |  191 
 insurancerating-0.8.2/insurancerating/R/truncated_distributions.R                      |   55 
 insurancerating-0.8.2/insurancerating/R/univariate.R                                   |  251 
 insurancerating-0.8.2/insurancerating/R/utils.R                                        |  133 
 insurancerating-0.8.2/insurancerating/R/utils_refinement.R                             |  457 +
 insurancerating-0.8.2/insurancerating/R/utils_univariate.R                             |  181 
 insurancerating-0.8.2/insurancerating/R/zzz.R                                          |    2 
 insurancerating-0.8.2/insurancerating/build/vignette.rds                               |binary
 insurancerating-0.8.2/insurancerating/inst/doc/getting-started.R                       |   90 
 insurancerating-0.8.2/insurancerating/inst/doc/getting-started.Rmd                     |  322 
 insurancerating-0.8.2/insurancerating/inst/doc/getting-started.html                    |  570 -
 insurancerating-0.8.2/insurancerating/inst/doc/large-portfolios.R                      |only
 insurancerating-0.8.2/insurancerating/inst/doc/large-portfolios.Rmd                    |only
 insurancerating-0.8.2/insurancerating/inst/doc/large-portfolios.html                   |only
 insurancerating-0.8.2/insurancerating/inst/doc/model-validation.R                      |  112 
 insurancerating-0.8.2/insurancerating/inst/doc/model-validation.Rmd                    |  470 -
 insurancerating-0.8.2/insurancerating/inst/doc/model-validation.html                   |  606 +
 insurancerating-0.8.2/insurancerating/inst/doc/pricing-workflow-building-blocks.R      |  167 
 insurancerating-0.8.2/insurancerating/inst/doc/pricing-workflow-building-blocks.Rmd    |  555 -
 insurancerating-0.8.2/insurancerating/inst/doc/pricing-workflow-building-blocks.html   |  810 +-
 insurancerating-0.8.2/insurancerating/inst/doc/refinement-workflow.R                   |  340 
 insurancerating-0.8.2/insurancerating/inst/doc/refinement-workflow.Rmd                 |  965 +-
 insurancerating-0.8.2/insurancerating/inst/doc/refinement-workflow.html                | 1421 ++-
 insurancerating-0.8.2/insurancerating/man/MTPL.Rd                                      |    2 
 insurancerating-0.8.2/insurancerating/man/MTPL2.Rd                                     |    2 
 insurancerating-0.8.2/insurancerating/man/active_rows_by_date.Rd                       |  116 
 insurancerating-0.8.2/insurancerating/man/add_prediction.Rd                            |   47 
 insurancerating-0.8.2/insurancerating/man/add_rebasing.Rd                              |only
 insurancerating-0.8.2/insurancerating/man/add_relativities.Rd                          |  102 
 insurancerating-0.8.2/insurancerating/man/add_restriction.Rd                           |  183 
 insurancerating-0.8.2/insurancerating/man/add_shrinkage.Rd                             |only
 insurancerating-0.8.2/insurancerating/man/add_smoothing.Rd                             |  195 
 insurancerating-0.8.2/insurancerating/man/add_tariff_segments.Rd                       |   22 
 insurancerating-0.8.2/insurancerating/man/as_gt.Rd                                     |   78 
 insurancerating-0.8.2/insurancerating/man/as_gt.refinement_audit.Rd                    |only
 insurancerating-0.8.2/insurancerating/man/audit_refinement.Rd                          |only
 insurancerating-0.8.2/insurancerating/man/autoplot.bootstrap_performance.Rd            |   25 
 insurancerating-0.8.2/insurancerating/man/autoplot.check_residuals.Rd                  |   34 
 insurancerating-0.8.2/insurancerating/man/autoplot.factor_analysis.Rd                  |   90 
 insurancerating-0.8.2/insurancerating/man/autoplot.rating_refinement.Rd                |  108 
 insurancerating-0.8.2/insurancerating/man/autoplot.rating_table.Rd                     |  134 
 insurancerating-0.8.2/insurancerating/man/autoplot.tariff_effect.Rd                    |only
 insurancerating-0.8.2/insurancerating/man/autoplot.truncated_severity.Rd               |   12 
 insurancerating-0.8.2/insurancerating/man/bootstrap_coefficients.Rd                    |only
 insurancerating-0.8.2/insurancerating/man/bootstrap_performance.Rd                     |   71 
 insurancerating-0.8.2/insurancerating/man/bootstrap_rmse.Rd                            |   17 
 insurancerating-0.8.2/insurancerating/man/calibrate_model.Rd                           |only
 insurancerating-0.8.2/insurancerating/man/cash-.rating_table.Rd                        |only
 insurancerating-0.8.2/insurancerating/man/check_residuals.Rd                           |   11 
 insurancerating-0.8.2/insurancerating/man/construct_model_points.Rd                    |    3 
 insurancerating-0.8.2/insurancerating/man/construct_tariff_classes.Rd                  |   23 
 insurancerating-0.8.2/insurancerating/man/derive_tariff_segments.Rd                    |  164 
 insurancerating-0.8.2/insurancerating/man/edit_smoothing.Rd                            |  172 
 insurancerating-0.8.2/insurancerating/man/extract_model_data.Rd                        |   53 
 insurancerating-0.8.2/insurancerating/man/factor_analysis.Rd                           |  122 
 insurancerating-0.8.2/insurancerating/man/fit_gam.Rd                                   |   18 
 insurancerating-0.8.2/insurancerating/man/fit_truncated_severity.Rd                    |    1 
 insurancerating-0.8.2/insurancerating/man/merge_date_ranges.Rd                         |  130 
 insurancerating-0.8.2/insurancerating/man/merge_date_ranges_db.Rd                      |only
 insurancerating-0.8.2/insurancerating/man/model_performance.Rd                         |   34 
 insurancerating-0.8.2/insurancerating/man/outlier_histogram.Rd                         |    2 
 insurancerating-0.8.2/insurancerating/man/period_to_months.Rd                          |    2 
 insurancerating-0.8.2/insurancerating/man/premium_change.Rd                            |only
 insurancerating-0.8.2/insurancerating/man/prepare_refinement.Rd                        |   74 
 insurancerating-0.8.2/insurancerating/man/rating_factors.Rd                            |   12 
 insurancerating-0.8.2/insurancerating/man/rating_grid.Rd                               |  201 
 insurancerating-0.8.2/insurancerating/man/rating_grid_db.Rd                            |only
 insurancerating-0.8.2/insurancerating/man/rating_table.Rd                              |  263 
 insurancerating-0.8.2/insurancerating/man/reduce.Rd                                    |    2 
 insurancerating-0.8.2/insurancerating/man/refit.Rd                                     |   86 
 insurancerating-0.8.2/insurancerating/man/relativity_specification.Rd                  |only
 insurancerating-0.8.2/insurancerating/man/rgammat.Rd                                   |   21 
 insurancerating-0.8.2/insurancerating/man/risk_factor_gam.Rd                           |  146 
 insurancerating-0.8.2/insurancerating/man/riskfactor_gam.Rd                            |   37 
 insurancerating-0.8.2/insurancerating/man/rlnormt.Rd                                   |   21 
 insurancerating-0.8.2/insurancerating/man/rmse.Rd                                      |   36 
 insurancerating-0.8.2/insurancerating/man/rows_per_date.Rd                             |    8 
 insurancerating-0.8.2/insurancerating/man/set_reference_level.Rd                       |   39 
 insurancerating-0.8.2/insurancerating/man/split_periods_to_months.Rd                   |  103 
 insurancerating-0.8.2/insurancerating/man/split_relativities.Rd                        |   31 
 insurancerating-0.8.2/insurancerating/man/summary.bootstrap_coefficients.Rd            |only
 insurancerating-0.8.2/insurancerating/man/summary.rating_refinement.Rd                 |only
 insurancerating-0.8.2/insurancerating/man/summary.refinement_audit.Rd                  |only
 insurancerating-0.8.2/insurancerating/man/summary.tariff_segments.Rd                   |only
 insurancerating-0.8.2/insurancerating/tests/testthat/Rplots.pdf                        |only
 insurancerating-0.8.2/insurancerating/tests/testthat/test_bootstrap_coefficients.R     |only
 insurancerating-0.8.2/insurancerating/tests/testthat/test_construct_tariff_classes.R   |  281 
 insurancerating-0.8.2/insurancerating/tests/testthat/test_model_calibration.R          |only
 insurancerating-0.8.2/insurancerating/tests/testthat/test_model_get_data.R             |  128 
 insurancerating-0.8.2/insurancerating/tests/testthat/test_model_rating_factors.R       |  194 
 insurancerating-0.8.2/insurancerating/tests/testthat/test_model_refinement.R           | 1564 ++++
 insurancerating-0.8.2/insurancerating/tests/testthat/test_model_refinement_audit.R     |only
 insurancerating-0.8.2/insurancerating/tests/testthat/test_model_refinement_rebasing.R  |only
 insurancerating-0.8.2/insurancerating/tests/testthat/test_model_refinement_shrinkage.R |only
 insurancerating-0.8.2/insurancerating/tests/testthat/test_plot_axis_labels.R           |only
 insurancerating-0.8.2/insurancerating/tests/testthat/test_portfolio_reduction_db.R     |only
 insurancerating-0.8.2/insurancerating/tests/testthat/test_premium_change.R             |only
 insurancerating-0.8.2/insurancerating/tests/testthat/test_rating_table_estimate_name.R |only
 insurancerating-0.8.2/insurancerating/tests/testthat/test_rating_table_ordering.R      |only
 insurancerating-0.8.2/insurancerating/tests/testthat/test_time_utils.R                 |  362 
 insurancerating-0.8.2/insurancerating/tests/testthat/test_univariate.R                 |   36 
 insurancerating-0.8.2/insurancerating/vignettes/getting-started.Rmd                    |  322 
 insurancerating-0.8.2/insurancerating/vignettes/large-portfolios.Rmd                   |only
 insurancerating-0.8.2/insurancerating/vignettes/model-validation.Rmd                   |  470 -
 insurancerating-0.8.2/insurancerating/vignettes/pricing-workflow-building-blocks.Rmd   |  555 -
 insurancerating-0.8.2/insurancerating/vignettes/refinement-workflow.Rmd                |  965 +-
 137 files changed, 18161 insertions(+), 5813 deletions(-)

More information about insurancerating at CRAN
Permanent link

New package fastgbm with initial version 0.6.1
Package: fastgbm
Title: Fast Histogram Gradient Boosting for Regression, Classification, and Survival Analysis
Version: 0.6.1
Description: A fast gradient boosting machine covering four task types with one interface: regression (squared error), binary and multiclass classification (logistic and one-vs-rest), and right-censored survival analysis via Cox (Breslow ties), accelerated failure time (normal location-scale), or piecewise-exponential objectives. Provides native missing-value routing, baseline-hazard estimation and survival-probability prediction for the survival objectives, and deterministic multi-threaded training via 'RcppParallel'. Methods are described in Friedman (2001) <doi:10.1214/aos/1013203451>.
License: MIT + file LICENSE
URL: https://github.com/ielbadisy/fastgbm
BugReports: https://github.com/ielbadisy/fastgbm/issues
Encoding: UTF-8
Depends: R (>= 4.5.0)
Imports: stats, utils, Rcpp, RcppParallel
LinkingTo: Rcpp, RcppParallel
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, survival, ggplot2, pdp, gbm, xgboost, ranger
VignetteBuilder: knitr
SystemRequirements: C++17, GNU make
NeedsCompilation: yes
Packaged: 2026-08-21 22:11:27 UTC; imad-el-badisy
Author: Imad El Badisy [aut, cre]
Maintainer: Imad El Badisy <elbadisyimad@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-01 11:50:12 UTC

More information about fastgbm at CRAN
Permanent link

Package distspec updated to version 0.2.0 with previous version 0.1.0 dated 2026-08-07

Title: Probability Distributions with Certain or Uncertain Parameters
Description: Represents probability distributions with fixed or potentially uncertain parameters, with tools to discretise, convolve, sample from and summarise them.
Author: Sebastian Funk [aut, cre] , James M. Azam [aut] , Sam Abbott [aut]
Maintainer: Sebastian Funk <sebastian.funk@lshtm.ac.uk>

Diff between distspec versions 0.1.0 dated 2026-08-07 and 0.2.0 dated 2026-09-01

 DESCRIPTION                         |    9 +-
 MD5                                 |   63 +++++++++--------
 NAMESPACE                           |    8 ++
 NEWS.md                             |   30 ++++++++
 R/accessors.R                       |    1 
 R/as_dist_spec.R                    |only
 R/check.R                           |   16 ++--
 R/constructors.R                    |   10 ++
 R/discretise.R                      |  130 ++++++++++++++++++++++++++----------
 R/dist_spec.R                       |   20 ++---
 R/fixed.R                           |   24 ++++++
 R/nonparametric.R                   |    6 +
 README.md                           |   11 +--
 inst/design.md                      |    2 
 inst/doc/distspec.Rmd               |    2 
 inst/doc/distspec.html              |    2 
 man/NonParametric.Rd                |    7 +
 man/as_dist_spec.Rd                 |only
 man/bound_dist.Rd                   |   20 +++--
 man/discrete_pmf.Rd                 |    6 -
 man/discretise.Rd                   |    4 -
 man/distspec-package.Rd             |    3 
 man/figures/logo.png                |only
 man/figures/logo.svg                |only
 man/has_uncertainty.Rd              |    1 
 man/new_dist_spec.Rd                |   20 ++++-
 man/plot.dist_spec.Rd               |    2 
 man/validate_dist_spec.Rd           |    2 
 tests/testthat/test-as_dist_spec.R  |only
 tests/testthat/test-deprecation.R   |   36 ++++++++-
 tests/testthat/test-dist_spec.R     |   24 +++---
 tests/testthat/test-fixed.R         |   16 ++++
 tests/testthat/test-nonparametric.R |   10 +-
 tests/testthat/test-validate.R      |    8 +-
 vignettes/distspec.Rmd              |    2 
 35 files changed, 350 insertions(+), 145 deletions(-)

More information about distspec at CRAN
Permanent link

New package datom with initial version 0.1.1
Package: datom
Title: A Unified Framework for Versioned, Traceable Tabular Data
Version: 0.1.1
Description: Provides versioned storage for tabular data without a database or a server. Each table is written as an immutable, content-addressed version -- identical content is detected and stored only once -- while its version history and metadata are kept as code in a 'git' repository and the data itself in a local filesystem or cloud object storage ('S3'). Any past version can be read back exactly by its identifier, and each table records the sources it was derived from, so a project carries full data lineage. A lightweight reader role retrieves current or historical data from storage alone, without 'git' or write access, giving downstream analyses and pipelines a single versioned source of truth. It targets analytical and scientific data management, such as preparing clinical study datasets, and is designed as a foundation for higher-level governance tooling.
License: MIT + file LICENSE
URL: https://github.com/amashadihossein/datom, https://amashadihossein.github.io/datom/
BugReports: https://github.com/amashadihossein/datom/issues
Depends: R (>= 4.1.0)
Imports: arrow, cli, digest, fs, glue, httr2, jsonlite, paws.storage, purrr, rlang, utils, yaml
Suggests: covr, git2r, knitr, mockery, rio, rmarkdown, testthat (>= 3.0.0), withr
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-08-21 23:39:05 UTC; afshinmashadi-hossein
Author: Afshin Mashadi-Hossein [aut, cre, cph]
Maintainer: Afshin Mashadi-Hossein <amashadihossein@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-01 11:40:15 UTC

More information about datom at CRAN
Permanent link

Package xpose.xtras updated to version 0.2.2 with previous version 0.2.0 dated 2026-07-26

Title: Extra Functionality for the 'xpose' Package
Description: Adding some at-present missing functionality, or functions unlikely to be added to the base 'xpose' package. This includes some diagnostic plots that have been missing in translation from 'xpose4', but also some useful features that truly extend the capabilities of what can be done with 'xpose'. These extensions include the concept of a set of 'xpose' objects, and diagnostics for likelihood-based models.
Author: John Prybylski [aut, cre, cph]
Maintainer: John Prybylski <jprybylski@gmail.com>

Diff between xpose.xtras versions 0.2.0 dated 2026-07-26 and 0.2.2 dated 2026-09-01

 DESCRIPTION                               |   22 
 MD5                                       |  106 +--
 NAMESPACE                                 |   15 
 NEWS.md                                   |   74 ++
 R/bbr.R                                   |   14 
 R/categorical.R                           |    2 
 R/colinearity.R                           |   13 
 R/covariates.R                            |  954 +++++++++++++++++++++++-------
 R/fixes.R                                 |  239 ++++++-
 R/nlmixr2.R                               |   35 -
 R/nlmixr_examples.R                       |  128 ++--
 R/utils.R                                 |  380 +++++++++++
 R/xp_xtras.R                              |  115 +++
 R/xtra_pars.R                             |   27 
 R/xtra_plots.R                            |  119 +++
 R/zzz.R                                   |  105 ++-
 README.md                                 |   12 
 data/pheno_base.rda                       |binary
 data/pheno_final.rda                      |binary
 data/pheno_saem.rda                       |binary
 data/pheno_set.rda                        |binary
 data/pkpd_m3.rda                          |binary
 data/vismo_dtmm.rda                       |binary
 data/vismo_pomod.rda                      |binary
 data/xpdb_set.rda                         |binary
 data/xpdb_x.rda                           |binary
 inst/WORDLIST                             |    4 
 inst/doc/a01-the-xp_xtra-object.html      |    8 
 inst/doc/a02-xpose-sets.html              |   49 -
 inst/doc/a03-useful_plots.html            |   38 -
 inst/doc/a04-plot-output-and-options.html |   32 -
 man/derive_shk.Rd                         |only
 man/eta_vs_catcov.Rd                      |   23 
 man/eta_vs_contcov.Rd                     |   23 
 man/figures/README-m3_roc-1.png           |binary
 man/get_cov_matrix.Rd                     |   13 
 man/grid_plots.Rd                         |    5 
 man/irep.Rd                               |   10 
 man/levelers.Rd                           |   19 
 man/nlmixr2_as_xtra.Rd                    |   10 
 man/normalize_etas.Rd                     |only
 man/patch_condn.Rd                        |    7 
 man/print.xpose_data.Rd                   |only
 man/recalc_shk.Rd                         |only
 man/shk_grid_plots.Rd                     |only
 man/shk_vs_catcov.Rd                      |only
 man/shk_vs_contcov.Rd                     |only
 man/xp_from_bbr.Rd                        |   11 
 man/xtras_data.Rd                         |only
 tests/testthat/helper-bbr.R               |   13 
 tests/testthat/helper-nlmixr2_examples.R  |   32 -
 tests/testthat/test-bbr.R                 |   22 
 tests/testthat/test-colinearity.R         |   15 
 tests/testthat/test-covariates.R          |  322 +++++++++-
 tests/testthat/test-fixes.R               |  172 ++++-
 tests/testthat/test-utils.R               |  184 +++++
 tests/testthat/test-xp_xtras.R            |   80 ++
 tests/testthat/test-zzz.R                 |  124 +++
 58 files changed, 3019 insertions(+), 557 deletions(-)

More information about xpose.xtras at CRAN
Permanent link

Package pdftools updated to version 3.9.1 with previous version 3.9.0 dated 2026-05-14

Title: Text Extraction, Rendering and Converting of PDF Documents
Description: Utilities based on 'libpoppler' <https://poppler.freedesktop.org> for extracting text, fonts, attachments and metadata from a PDF file. Also supports high quality rendering of PDF documents into PNG, JPEG, TIFF format, or into raw bitmap vectors for further processing in R.
Author: Jeroen Ooms [aut, cre]
Maintainer: Jeroen Ooms <jeroenooms@gmail.com>

Diff between pdftools versions 3.9.0 dated 2026-05-14 and 3.9.1 dated 2026-09-01

 DESCRIPTION     |    6 +++---
 MD5             |    6 +++---
 NEWS            |    3 +++
 tools/winlibs.R |    9 +++++----
 4 files changed, 14 insertions(+), 10 deletions(-)

More information about pdftools at CRAN
Permanent link

Package messydates updated to version 1.1.1 with previous version 1.1.0 dated 2026-07-27

Title: A Flexible Class for Messy Dates
Description: Contains a set of tools for constructing and coercing into and from the "mdate" class. This date class implements ISO 8601-2:2019(E) and allows regular dates and times to be annotated to express unspecified date or time components, approximate or uncertain components, ranges, and sets of dates. The package therefore retains, represents, and reasons about data and time imprecision, resolving to a single data/time only on demand. This is useful for describing and analysing temporal information, whether historical or recent, where date or time precision may vary.
Author: James Hollway [cre, aut, ctb] , Henrique Sposito [ctb] , Jael Tan [ctb] , Nathan Werth [ctb]
Maintainer: James Hollway <james.hollway@graduateinstitute.ch>

Diff between messydates versions 1.1.0 dated 2026-07-27 and 1.1.1 dated 2026-09-01

 DESCRIPTION                        |    8 -
 MD5                                |   21 ++--
 NAMESPACE                          |   44 +++++----
 NEWS.md                            |   23 ++++
 R/coerce_to_messydate.R            |  175 +++++++++++++++++++++++++++++++++++--
 R/validate_input.R                 |   14 +-
 README.md                          |   15 ++-
 man/coerce_to.Rd                   |   19 ++++
 man/figures/messydates_hexlogo.png |binary
 man/figures/messydates_v2c.png     |only
 tests/testthat/test-coerce_from.R  |    8 +
 tests/testthat/test-coerce_to.R    |   77 +++++++++++++++-
 12 files changed, 348 insertions(+), 56 deletions(-)

More information about messydates at CRAN
Permanent link

Package logtree updated to version 0.2.0 with previous version 0.1.0 dated 2026-08-06

Title: Tree-Style Console Logger for Nested Processes
Description: Render nested process execution as a live, colored tree in the console, with tree connectors, status glyphs, and elapsed time per step. Nesting depth is tracked via frame exit handlers so it never desynchronizes, even when a step errors. Builds on the 'cli' package for console rendering.
Author: Ivan Sortino [aut, cre, cph]
Maintainer: Ivan Sortino <ivan.sortino97@gmail.com>

Diff between logtree versions 0.1.0 dated 2026-08-06 and 0.2.0 dated 2026-09-01

 DESCRIPTION                              |   12 
 MD5                                      |  111 +-
 NAMESPACE                                |    7 
 NEWS.md                                  |  171 +++
 R/appenders.R                            |  316 +++++--
 R/glyphs.R                               |  155 +++
 R/leaves.R                               |  103 ++
 R/logger-integration.R                   |   56 -
 R/run.R                                  |  170 +++
 R/sinks.R                                |only
 R/state.R                                |  139 +++
 R/step.R                                 |  629 +++++++++++++
 R/summary.R                              |  176 +++
 R/theme.R                                |  443 +++++++++
 R/trace.R                                |only
 R/zzz.R                                  |   12 
 README.md                                |  364 +-------
 build/vignette.rds                       |binary
 inst/doc/logtree.R                       |  255 ++++-
 inst/doc/logtree.Rmd                     |  892 ++++++++++++++++---
 inst/doc/logtree.html                    | 1399 +++++++++++++++++++++++--------
 man/figures/README-tree-color.svg        |  120 +-
 man/figures/logo.png                     |binary
 man/layout_logtree.Rd                    |   19 
 man/logtree_logger.Rd                    |    7 
 man/logtree_mute.Rd                      |only
 man/logtree_reset.Rd                     |    5 
 man/logtree_sink.Rd                      |only
 man/logtree_sink_file.Rd                 |   62 +
 man/logtree_sink_memory.Rd               |only
 man/logtree_sink_memory_events.Rd        |only
 man/logtree_sink_remove.Rd               |only
 man/logtree_sinks.Rd                     |only
 man/logtree_summary.Rd                   |   59 +
 man/logtree_theme.Rd                     |  251 +++++
 man/logtree_threshold.Rd                 |   16 
 man/with_logging.Rd                      |   37 
 tests/testthat/_snaps/close-text.md      |only
 tests/testthat/_snaps/connector-gap.md   |only
 tests/testthat/_snaps/elapsed-slot.md    |only
 tests/testthat/_snaps/glyph-gap.md       |only
 tests/testthat/_snaps/preset-ci.md       |only
 tests/testthat/_snaps/preset-minimal.md  |only
 tests/testthat/_snaps/wrap.md            |only
 tests/testthat/helper-clock.R            |   16 
 tests/testthat/helper-mute.R             |only
 tests/testthat/helper-sinks.R            |   16 
 tests/testthat/helper-theme.R            |    5 
 tests/testthat/helper-trace.R            |only
 tests/testthat/test-appenders.R          |    3 
 tests/testthat/test-close-text.R         |only
 tests/testthat/test-connector-gap.R      |only
 tests/testthat/test-elapsed-slot.R       |only
 tests/testthat/test-glyph-gap.R          |only
 tests/testthat/test-logger-integration.R |   12 
 tests/testthat/test-mute.R               |only
 tests/testthat/test-onload.R             |    8 
 tests/testthat/test-preset-ci.R          |only
 tests/testthat/test-preset-minimal.R     |only
 tests/testthat/test-sink-memory.R        |only
 tests/testthat/test-sink-threshold.R     |only
 tests/testthat/test-sinks.R              |only
 tests/testthat/test-summary.R            |  202 ++++
 tests/testthat/test-theme.R              |  136 +++
 tests/testthat/test-timestamp.R          |only
 tests/testthat/test-trace.R              |only
 tests/testthat/test-warnings.R           |only
 tests/testthat/test-wrap.R               |only
 vignettes/concept-anatomy.svg            |only
 vignettes/concept-elevation.svg          |only
 vignettes/concept-frames.svg             |only
 vignettes/concept-grouping.svg           |only
 vignettes/logtree.Rmd                    |  892 ++++++++++++++++---
 vignettes/routed-conditions.svg          |only
 vignettes/timestamp-silver.svg           |only
 75 files changed, 5996 insertions(+), 1280 deletions(-)

More information about logtree at CRAN
Permanent link

Package envnames updated to version 0.4.2 with previous version 0.4.1 dated 2020-12-08

Title: Track User-Defined Environment Names
Description: Set of functions to keep track and find objects in user-defined environments by identifying environments by name --which cannot be retrieved with the built-in function environmentName(). The package also provides functionality to obtain simplified information about function calling chains and to get an object's memory address.
Author: Daniel Mastropietro [aut, cre]
Maintainer: Daniel Mastropietro <mastropi@uwalumni.com>

Diff between envnames versions 0.4.1 dated 2020-12-08 and 0.4.2 dated 2026-09-01

 DESCRIPTION                           |   19 
 MD5                                   |   37 -
 R/get_obj_address.r                   |   45 -
 R/get_obj_name.r                      |   60 +-
 R/obj_find.r                          |    2 
 build/vignette.rds                    |binary
 inst/doc/envnames.Rmd                 |  831 ++++++++++++++++++++++++----------
 inst/doc/envnames.pdf                 |binary
 man/envnames-package.Rd               |   19 
 man/get_obj_name.Rd                   |   18 
 man/testenv.Rd                        |    3 
 tests/testthat/_problems              |only
 tests/testthat/test-get_env_names.r   |   50 --
 tests/testthat/test-get_obj_address.r |    7 
 tests/testthat/test-get_obj_name.r    |   37 -
 tests/testthat/test-obj_find.r        |   59 --
 vignettes/envnames.Rmd                |  831 ++++++++++++++++++++++++----------
 17 files changed, 1357 insertions(+), 661 deletions(-)

More information about envnames at CRAN
Permanent link

Package performance updated to version 0.18.1 with previous version 0.18.0 dated 2026-08-28

Title: Assessment of Regression Models Performance
Description: Utilities for computing measures to assess model quality, which are not directly provided by R's 'base' or 'stats' packages. These include e.g. measures like r-squared, intraclass correlation coefficient (Nakagawa, Johnson & Schielzeth (2017) <doi:10.1098/rsif.2017.0213>), root mean squared error or functions to check models for overdispersion, singularity or zero-inflation and more. Functions apply to a large variety of regression models, including generalized linear models, mixed effects models and Bayesian models. References: Lüdecke et al. (2021) <doi:10.21105/joss.03139>.
Author: Daniel Luedecke [aut, cre] , Dominique Makowski [aut, ctb] , Mattan S. Ben-Shachar [aut, ctb] , Indrajeet Patil [aut, ctb] , Philip Waggoner [aut, ctb] , Brenton M. Wiernik [aut, ctb] , Remi Theriault [aut, ctb] , Vincent Arel-Bundock [ctb] , Martin J [...truncated...]
Maintainer: Daniel Luedecke <officialeasystats@gmail.com>

Diff between performance versions 0.18.0 dated 2026-08-28 and 0.18.1 dated 2026-09-01

 DESCRIPTION                                 |    6 ++---
 MD5                                         |   12 +++++-----
 NEWS.md                                     |   10 ++++++++
 R/binned_residuals.R                        |   32 ++++++++++++++++++++--------
 man/binned_residuals.Rd                     |    9 ++++---
 tests/testthat/test-binned_residuals.R      |   15 +++++++++++++
 tests/testthat/test-check_group_variation.R |   32 ++++++++++++++--------------
 7 files changed, 79 insertions(+), 37 deletions(-)

More information about performance at CRAN
Permanent link

Package nlme updated to version 3.1-171 with previous version 3.1-170 dated 2026-07-15

Title: Linear and Nonlinear Mixed Effects Models
Description: Fit and compare Gaussian linear and nonlinear mixed-effects models.
Author: Jose Pinheiro [aut] , Douglas Bates [aut] , Saikat DebRoy [ctb] , Deepayan Sarkar [ctb] , EISPACK authors [ctb] , Siem Heisterkamp [ctb] , Bert Van Willigen [ctb] , Johannes Ranke [ctb] ), R Core Team [aut, cre]
Maintainer: R Core Team <R-core@R-project.org>

Diff between nlme versions 3.1-170 dated 2026-07-15 and 3.1-171 dated 2026-09-01

 ChangeLog              |    5 ++
 DESCRIPTION            |    8 ++--
 MD5                    |   92 ++++++++++++++++++++++++-------------------------
 build/partial.rdb      |binary
 data/Alfalfa.rda       |binary
 data/Assay.rda         |binary
 data/BodyWeight.rda    |binary
 data/Cefamandole.rda   |binary
 data/Dialyzer.rda      |binary
 data/Earthquake.rda    |binary
 data/Fatigue.rda       |binary
 data/Gasoline.rda      |binary
 data/Glucose.rda       |binary
 data/Glucose2.rda      |binary
 data/Gun.rda           |binary
 data/IGF.rda           |binary
 data/Machines.rda      |binary
 data/MathAchSchool.rda |binary
 data/MathAchieve.rda   |binary
 data/Meat.rda          |binary
 data/Milk.rda          |binary
 data/Muscle.rda        |binary
 data/Nitrendipene.rda  |binary
 data/Oats.rda          |binary
 data/Orthodont.rda     |binary
 data/Ovary.rda         |binary
 data/Oxboys.rda        |binary
 data/Oxide.rda         |binary
 data/PBG.rda           |binary
 data/Phenobarb.rda     |binary
 data/Pixel.rda         |binary
 data/Quinidine.rda     |binary
 data/Rail.rda          |binary
 data/RatPupWeight.rda  |binary
 data/Relaxin.rda       |binary
 data/Remifentanil.rda  |binary
 data/Soybean.rda       |binary
 data/Spruce.rda        |binary
 data/Tetracycline1.rda |binary
 data/Tetracycline2.rda |binary
 data/Wafer.rda         |binary
 data/Wheat.rda         |binary
 data/Wheat2.rda        |binary
 data/bdf.rda           |binary
 data/ergoStool.rda     |binary
 tests/lme.R            |    3 +
 tests/lme.Rout.save    |   11 +++--
 47 files changed, 63 insertions(+), 56 deletions(-)

More information about nlme at CRAN
Permanent link

Package ggplate updated to version 0.4.0 with previous version 0.3.1 dated 2026-05-11

Title: Create Layout Plots of Biological Culture Plates and Microplates
Description: Enables users to create simple plots of biological culture plates as well as microplates. Both continuous and discrete values can be plotted onto the plate layout.
Author: Jan-Philipp Quast [aut, cre]
Maintainer: Jan-Philipp Quast <jpquast.software@gmail.com>

Diff between ggplate versions 0.3.1 dated 2026-05-11 and 0.4.0 dated 2026-09-01

 DESCRIPTION                                                        |   10 
 MD5                                                                |  101 +-
 NAMESPACE                                                          |    1 
 NEWS.md                                                            |   13 
 R/data.R                                                           |   50 +
 R/plate_plot.R                                                     |  188 ++++-
 README.md                                                          |  131 +++
 data/border_colours.rda                                            |only
 data/data_continuous_12.rda                                        |binary
 data/data_continuous_1536.rda                                      |binary
 data/data_continuous_1536_Aa.rda                                   |binary
 data/data_continuous_24.rda                                        |binary
 data/data_continuous_384.rda                                       |binary
 data/data_continuous_48.rda                                        |binary
 data/data_continuous_48_incomplete.rda                             |binary
 data/data_continuous_6.rda                                         |binary
 data/data_continuous_96.rda                                        |binary
 data/data_discrete_24.rda                                          |binary
 data/data_discrete_6.rda                                           |binary
 data/data_discrete_96.rda                                          |binary
 man/border_colours.Rd                                              |only
 man/data_continuous_12.Rd                                          |    3 
 man/data_continuous_1536.Rd                                        |    3 
 man/data_continuous_1536_Aa.Rd                                     |    3 
 man/data_continuous_24.Rd                                          |    3 
 man/data_continuous_384.Rd                                         |    3 
 man/data_continuous_48.Rd                                          |    3 
 man/data_continuous_48_incomplete.Rd                               |    4 
 man/data_continuous_6.Rd                                           |    3 
 man/data_continuous_96.Rd                                          |    3 
 man/data_discrete_24.Rd                                            |    3 
 man/data_discrete_6.Rd                                             |    3 
 man/data_discrete_96.Rd                                            |    6 
 man/figures/README-24_well_plate_legend_n_row-1.png                |binary
 man/figures/README-6_well_plot_new_colours-1.png                   |binary
 man/figures/README-6_well_plot_new_colours_no_legend-1.png         |binary
 man/figures/README-discrete_96_well_plate-1.png                    |binary
 man/figures/README-discrete_96_well_plate_label-1.png              |binary
 man/figures/README-resize_plot-1.png                               |binary
 man/figures/README-return_device_size-1.png                        |binary
 man/figures/README-standard_plot-1.png                             |binary
 man/figures/README-standard_plot_384_well_new_gradient-1.png       |binary
 man/figures/README-standard_plot_384_well_new_limits-1.png         |binary
 man/figures/README-standard_plot_384_well_new_limits_outlier-1.png |binary
 man/figures/README-standard_plot_48_empty_wells-1.png              |binary
 man/figures/README-standard_plot_48_empty_wells_keep_na-1.png      |binary
 man/figures/README-standard_plot_6_well-1.png                      |binary
 man/figures/README-standard_plot_labels-1.png                      |binary
 man/figures/README-standard_plot_labels_wells-1.png                |binary
 man/figures/README-well_borders-1.png                              |only
 man/figures/README-well_borders_colour-1.png                       |only
 man/figures/README-well_borders_only-1.png                         |only
 man/plate_plot.Rd                                                  |   36 -
 tests/testthat/test-my-test.R                                      |  347 ++++++++++
 54 files changed, 788 insertions(+), 129 deletions(-)

More information about ggplate at CRAN
Permanent link

Package clipp updated to version 1.2.0 with previous version 1.1.1 dated 2022-07-12

Title: Calculating Likelihoods by Pedigree Paring
Description: A fast and general implementation of the Elston-Stewart algorithm that can calculate the likelihoods of large and complex pedigrees. References for the Elston-Stewart algorithm are Elston & Stewart (1971) <doi:10.1159/000152448>, Lange & Elston (1975) <doi:10.1159/000152714> and Cannings et al. (1978) <doi:10.2307/1426718>.
Author: James Dowty [aut, cre], Kevin Wong [aut]
Maintainer: James Dowty <jgdowty@gmail.com>

Diff between clipp versions 1.1.1 dated 2022-07-12 and 1.2.0 dated 2026-09-01

 DESCRIPTION                  |    8 
 MD5                          |   18 -
 R/pedigree_loglikelihood.R   |    2 
 R/pedigree_loglikelihood_g.R |   87 +++------
 build/vignette.rds           |binary
 inst/doc/using_clipp.R       |   94 ++++-----
 inst/doc/using_clipp.Rmd     |    2 
 inst/doc/using_clipp.html    |  405 +++++++++++++++++++++----------------------
 man/clipp-package.Rd         |    1 
 vignettes/using_clipp.Rmd    |    2 
 10 files changed, 305 insertions(+), 314 deletions(-)

More information about clipp at CRAN
Permanent link

Package bit64 updated to version 4.8.6 with previous version 4.8.4 dated 2026-08-20

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 4.8.4 dated 2026-08-20 and 4.8.6 dated 2026-09-01

 DESCRIPTION     |    6 +++---
 MD5             |    6 +++---
 NEWS.md         |    6 ++++++
 src/integer64.h |    6 +++++-
 4 files changed, 17 insertions(+), 7 deletions(-)

More information about bit64 at CRAN
Permanent link

New package urbstatdata with initial version 0.1.0
Package: urbstatdata
Title: Seven Data Sets for Urban and Built-Environment Statistics
Version: 0.1.0
Description: Seven documented data sets from transport, traffic safety, urban planning, construction and architectural engineering. The package provides fixed, redistributable snapshots with consistent variable names. Each help page records the source, licence, unit of observation, transformations and limitations of its data set. Sources include Yeh (2018) <doi:10.24432/C5J30W>, Tsanas and Xifara (2012) <doi:10.24432/C51307>, Yeh (1998) <doi:10.24432/C5PK67>, Seoul Bike Sharing Demand (2020) <doi:10.24432/C5F62R>, and Singh and Chaudhari (2018) <doi:10.24432/C5P605>.
URL: https://github.com/mariocools/urbstatdata
BugReports: https://github.com/mariocools/urbstatdata/issues
License: MIT + file LICENSE
Copyright: See inst/COPYRIGHTS.
Depends: R (>= 3.5.0)
Suggests: testthat (>= 3.0.0)
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
NeedsCompilation: no
Packaged: 2026-08-10 14:05:03 UTC; djdim
Author: Mario Cools [aut, cre, cph]
Maintainer: Mario Cools <mario.cools@uliege.be>
Repository: CRAN
Date/Publication: 2026-09-01 08:50:02 UTC

More information about urbstatdata at CRAN
Permanent link

New package tmdbR with initial version 0.2.2
Package: tmdbR
Title: Modern 'R' Client for 'The Movie Database' API
Version: 0.2.2
Copyright: Original 'TMDb' 1.1 components copyright Andrea Capozio. 'tmdbR' modifications copyright Gordon Kuzet.
Description: A modern, tested client for version 3 of 'The Movie Database' ('TMDB') API. It modernises the interface originally provided by the legacy 'TMDb' package by Capozio (2020) <https://CRAN.R-project.org/package=TMDb> while adding secure web requests, bearer-token authentication, structured errors, retries, safe query encoding, and automatic pagination.
License: Artistic-2.0
URL: https://developer.themoviedb.org/docs/getting-started, https://CRAN.R-project.org/package=TMDb, https://github.com/vader75/tmdbR
BugReports: https://github.com/vader75/tmdbR/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: httr2 (>= 1.0.0), jsonlite (>= 1.8.0)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-08-21 21:39:19 UTC; gkuzet
Author: Gordon Kuzet [aut, cre, cph], Andrea Capozio [ctb, cph]
Maintainer: Gordon Kuzet <gordon@kuzet.com>
Repository: CRAN
Date/Publication: 2026-09-01 09:00:02 UTC

More information about tmdbR at CRAN
Permanent link

New package tidygedcom with initial version 0.2.0
Package: tidygedcom
Title: Read and Tidy 'GEDCOM' Genealogy Files
Version: 0.2.0
Description: Reads and parses 'GEDCOM' (Genealogical Data Communication) files, the standard interchange format exported by genealogical software, and converts them into tidy data frames. Individuals, families, life events, and parent-child links are extracted into rectangular structures suitable for pedigree and kinship analysis. Additional helpers summarize file contents, convert place coordinates, and repair malformed records. Wikipedia family tree templates can be parsed into the same tidy structure. For a discussion of these and related data structures see [Hunter et al. (2026) <doi:10.1007/s10519-026-10259-z>].
License: GPL-3
URL: https://github.com/R-Computing-Lab/tidygedcom/, https://r-computing-lab.github.io/tidygedcom/
BugReports: https://github.com/R-Computing-Lab/tidygedcom/issues
Depends: R (>= 3.5.0)
Imports: BGmisc, dplyr, igraph, purrr, rlang, stringr, tidyr
Suggests: discord, EasyMx, ggpedigree, ggplot2, kinship2, knitr, OpenMx, rmarkdown, testthat (>= 3.0.0), tidyverse, withr
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
LazyData: true
NeedsCompilation: no
Packaged: 2026-08-21 20:28:00 UTC; smaso
Author: S. Mason Garrison [aut, cre, cph] , Christian Waugh [aut, dtc]
Maintainer: S. Mason Garrison <garrissm@wfu.edu>
Repository: CRAN
Date/Publication: 2026-09-01 08:50:08 UTC

More information about tidygedcom at CRAN
Permanent link

New package theoryforge with initial version 0.6.0
Package: theoryforge
Title: Systematic Theory Development
Version: 0.6.0
Description: Provides a rigorous, reproducible workflow for building, developing and testing scientific theories represented as versioned, machine-checkable objects. Functions read and validate theory objects, score them against a versioned rigour checklist, screen constructs for lexical redundancy, and emit byte-identical diagram intermediate representations. The package is the feature-parity twin of a 'Python' package of the same name, with behaviour pinned by a shared specification so the two implementations produce identical verdicts.
License: MIT + file LICENSE
URL: https://github.com/pablobernabeu/theoryforge, https://pablobernabeu.github.io/theoryforge/r/
BugReports: https://github.com/pablobernabeu/theoryforge/issues
Encoding: UTF-8
Language: en-GB
Depends: R (>= 4.1.0)
Imports: jsonlite, stats, tools, utils, yaml
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, httr, curl, dagitty, ggm, DiagrammeR, DiagrammeRsvg, htmltools, spelling
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-08-21 13:53:12 UTC; PabloB
Author: Pablo Bernabeu [aut, cre]
Maintainer: Pablo Bernabeu <pcbernabeu@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-01 08:30:02 UTC

More information about theoryforge at CRAN
Permanent link

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

Title: 'React Router' for 'shiny' Apps and 'Quarto'
Description: Provides a wrapper around the 'react-router-dom' 'React' library for use in 'Shiny' applications and 'Quarto' documents. Enables client-side routing with hash, memory, and browser history strategies, nested routes, dynamic segments, data loaders, actions, and navigation hooks.
Author: Felix Luginbuhl [aut, cre, cph] , Andryas Waurzenczak [ctb]
Maintainer: Felix Luginbuhl <felix.luginbuhl@protonmail.ch>

Diff between reactRouter versions 0.2.0 dated 2026-05-10 and 0.2.1 dated 2026-09-01

 DESCRIPTION                                      |    6 +--
 MD5                                              |   10 ++---
 NEWS.md                                          |   11 ++++++
 README.md                                        |    2 -
 inst/reactRouter/react-router-dom.js             |    4 +-
 inst/reactRouter/react-router-dom.js.LICENSE.txt |   42 +++++++++++------------
 6 files changed, 43 insertions(+), 32 deletions(-)

More information about reactRouter at CRAN
Permanent link

Package pbapply updated to version 1.7-5 with previous version 1.7-4 dated 2025-07-20

Title: Adding Progress Bar to '*apply' Functions
Description: A lightweight package that adds progress bar to vectorized R functions ('*apply'). The implementation can easily be added to functions where showing the progress is useful (e.g. bootstrap). The type and style of the progress bar (with percentages or remaining time) can be set through options. Supports several parallel processing backends including mirai and future.
Author: Peter Solymos [aut, cre] , Zygmunt Zawadzki [aut], Henrik Bengtsson [ctb], R Core Team [cph, ctb]
Maintainer: Peter Solymos <psolymos@gmail.com>

Diff between pbapply versions 1.7-4 dated 2025-07-20 and 1.7-5 dated 2026-09-01

 DESCRIPTION    |    8 ++++----
 MD5            |    8 ++++----
 NEWS.md        |    4 ++++
 inst/WORDLIST  |    1 -
 man/pbapply.Rd |    4 ++--
 5 files changed, 14 insertions(+), 11 deletions(-)

More information about pbapply at CRAN
Permanent link

New package depictr with initial version 0.3.0
Package: depictr
Title: A Unified Toolkit for Visualising Statistical Models and Data
Version: 0.3.0
Description: A cohesive, publication-ready toolkit of plots that span the whole analysis workflow with one consistent look. It covers exploratory data analysis (distributions, categorical summaries, bivariate plots, scatter-plot matrices, correlation heatmaps, missing-data maps, outliers, estimation statistics and descriptive tables); multivariate analysis, clustering with diagnostics and Kaplan-Meier survival curves; time series (trends, autocorrelation, decomposition, seasonality and forecasting); model estimates and inference (forest plots, model comparison, frequentist and Bayesian estimates, predicted values, interactions, random effects and optimiser checks); diagnostics and classification (residual panels, binned residuals, influence, quantile-quantile, receiver operating characteristic (ROC) curves, calibration, threshold tuning and confusion matrices); uncertainty and power; and reporting helpers (a shared theme, colourblind-aware palettes, plot composition and saving). Every plotting func [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-GB
LazyData: true
Depends: R (>= 4.1.0)
Imports: ggplot2 (>= 3.5.0), stringr, scales, patchwork (>= 1.3.0), rlang, stats, grDevices, utils, Rdpack
Suggests: lme4, lmerTest, broom, simr, knitr, rmarkdown, survival, ggdist, posterior, boot, cluster, colorspace, testthat (>= 3.0.0), withr
VignetteBuilder: knitr
URL: https://pablobernabeu.github.io/depictr/, https://github.com/pablobernabeu/depictr
BugReports: https://github.com/pablobernabeu/depictr/issues
NeedsCompilation: no
Packaged: 2026-08-21 13:55:09 UTC; PabloB
Author: Pablo Bernabeu [aut, cre]
Maintainer: Pablo Bernabeu <pcbernabeu@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-01 08:30:09 UTC

More information about depictr at CRAN
Permanent link

Package densemlp updated to version 0.7.1 with previous version 0.6.0 dated 2026-08-21

Title: Dense Neural Networks for Tabular Regression, Classification and Survival
Description: Dense feed-forward neural networks (multilayer perceptrons) for tabular regression, classification and survival analysis, with a formula or x/y interface. Supports residual and gated hidden blocks, batch normalization, per-layer dropout, learned cross-feature interactions, exponential moving-average weights, learning-rate schedules, internal bootstrap ensembles and Adam optimization. Survival outcomes are trained with either a batch-wise Breslow-tie Cox partial likelihood or a discrete-time inverse-probability-of-censoring-weighted integrated Brier score. The numerical kernels are implemented natively in C++ via 'RcppArmadillo', with no external deep learning framework dependency (no 'torch' / 'libtorch'). Companion helpers provide k-fold cross-validation, hyperparameter search and task-aware evaluation metrics.
Author: Imad El Badisy [aut, cre]
Maintainer: Imad El Badisy <elbadisyimad@gmail.com>

Diff between densemlp versions 0.6.0 dated 2026-08-21 and 0.7.1 dated 2026-09-01

 densemlp-0.6.0/densemlp/R/logging.R                            |only
 densemlp-0.6.0/densemlp/R/model_torch.R                        |only
 densemlp-0.6.0/densemlp/R/print.R                              |only
 densemlp-0.6.0/densemlp/R/training.R                           |only
 densemlp-0.6.0/densemlp/R/zzz.R                                |only
 densemlp-0.6.0/densemlp/inst/doc/getting-started.R             |only
 densemlp-0.6.0/densemlp/inst/doc/getting-started.Rmd           |only
 densemlp-0.6.0/densemlp/inst/doc/getting-started.pdf           |only
 densemlp-0.6.0/densemlp/man/autoplot.densemlp_fit.Rd           |only
 densemlp-0.6.0/densemlp/man/predict.densemlp_fit.Rd            |only
 densemlp-0.6.0/densemlp/man/print.densemlp_fit.Rd              |only
 densemlp-0.6.0/densemlp/tests/testthat/helper-torch.R          |only
 densemlp-0.6.0/densemlp/tests/testthat/test-training-logging.R |only
 densemlp-0.6.0/densemlp/vignettes/getting-started.Rmd          |only
 densemlp-0.7.1/densemlp/DESCRIPTION                            |   38 
 densemlp-0.7.1/densemlp/MD5                                    |   82 -
 densemlp-0.7.1/densemlp/NAMESPACE                              |   17 
 densemlp-0.7.1/densemlp/NEWS.md                                |   73 +
 densemlp-0.7.1/densemlp/R/RcppExports.R                        |only
 densemlp-0.7.1/densemlp/R/cv.R                                 |  149 --
 densemlp-0.7.1/densemlp/R/densemlp-package.R                   |   15 
 densemlp-0.7.1/densemlp/R/densemlp.R                           |  579 +++++++---
 densemlp-0.7.1/densemlp/R/importance.R                         |  124 +-
 densemlp-0.7.1/densemlp/R/metrics.R                            |  142 +-
 densemlp-0.7.1/densemlp/R/plots.R                              |   52 
 densemlp-0.7.1/densemlp/R/predict.R                            |  204 ++-
 densemlp-0.7.1/densemlp/R/preprocess.R                         |  253 +---
 densemlp-0.7.1/densemlp/R/tuning.R                             |  335 +----
 densemlp-0.7.1/densemlp/R/utils.R                              |  168 --
 densemlp-0.7.1/densemlp/README.md                              |  303 +----
 densemlp-0.7.1/densemlp/build/vignette.rds                     |binary
 densemlp-0.7.1/densemlp/inst/WORDLIST                          |only
 densemlp-0.7.1/densemlp/inst/doc/densemlp-intro.R              |only
 densemlp-0.7.1/densemlp/inst/doc/densemlp-intro.Rmd            |only
 densemlp-0.7.1/densemlp/inst/doc/densemlp-intro.html           |only
 densemlp-0.7.1/densemlp/man/cv_densemlp.Rd                     |   52 
 densemlp-0.7.1/densemlp/man/densemlp-package.Rd                |   14 
 densemlp-0.7.1/densemlp/man/densemlp.Rd                        |  244 +++-
 densemlp-0.7.1/densemlp/man/densemlp_integrated_brier_score.Rd |only
 densemlp-0.7.1/densemlp/man/densemlp_metrics.Rd                |   24 
 densemlp-0.7.1/densemlp/man/perm_importance.Rd                 |   41 
 densemlp-0.7.1/densemlp/man/plot.densemlp.Rd                   |only
 densemlp-0.7.1/densemlp/man/plot.densemlp_importance.Rd        |    8 
 densemlp-0.7.1/densemlp/man/plot_history.Rd                    |   20 
 densemlp-0.7.1/densemlp/man/predict.densemlp.Rd                |only
 densemlp-0.7.1/densemlp/man/tune_densemlp.Rd                   |   76 -
 densemlp-0.7.1/densemlp/src                                    |only
 densemlp-0.7.1/densemlp/tests/testthat/test-cv.R               |   70 -
 densemlp-0.7.1/densemlp/tests/testthat/test-densemlp.R         |  350 ++++--
 densemlp-0.7.1/densemlp/tests/testthat/test-features.R         |only
 densemlp-0.7.1/densemlp/tests/testthat/test-metrics.R          |only
 densemlp-0.7.1/densemlp/tests/testthat/test-plot-ncores.R      |only
 densemlp-0.7.1/densemlp/tests/testthat/test-tuning.R           |   54 
 densemlp-0.7.1/densemlp/vignettes/densemlp-intro.Rmd           |only
 54 files changed, 1854 insertions(+), 1633 deletions(-)

More information about densemlp at CRAN
Permanent link

New package deOpenData with initial version 0.1.0
Package: deOpenData
Title: A Lightweight Interface to Delaware Open Data APIs
Version: 0.1.0
Description: Provides a unified set of helper functions to access datasets from the Delaware Open Data platform <https://data.delaware.gov/>. Functions return results as tidy tibbles and support optional filtering, sorting, and row limits via the Socrata API. The package provides a consistent interface for discovering and downloading datasets from the Delaware Open Data Portal using human-readable dataset keys or official Socrata dataset identifiers.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: curl, dplyr, httr, janitor, jsonlite, rlang, tibble
Suggests: ggplot2, knitr, rmarkdown, scales, testthat (>= 3.0.0), tidyr, vcr (>= 0.6.0), webmockr
URL: https://github.com/gomes-sh/nolaOpenData
BugReports: https://github.com/gomes-sh/nolaOpenData/issues
VignetteBuilder: knitr
Depends: R (>= 4.1.0)
NeedsCompilation: no
Packaged: 2026-08-21 17:44:21 UTC; magic
Author: Shelby Lyn Gomes [aut] , Christian Martinez [aut, cre]
Maintainer: Christian Martinez <c.martinez0@outlook.com>
Repository: CRAN
Date/Publication: 2026-09-01 08:40:02 UTC

More information about deOpenData at CRAN
Permanent link

New package dawnn with initial version 2.1.1
Package: dawnn
Title: Differential Abundance with Neural Networks
Version: 2.1.1
Description: Detects regions of differential abundance in single-cell transcriptomic data by applying a pre-trained neural network model to the labels of each cell's nearest neighbours. Tests for both local and global differential abundance, controlling the false discovery rate with the Benjamini-Yekutieli procedure. The method is described in Hall and Castellano (2023) <doi:10.1101/2023.05.05.539427>.
License: GPL (>= 3)
Encoding: UTF-8
Imports: stats, Seurat, reticulate, keras, utils, withr, tools
Depends: R (>= 4.0.0)
Suggests: rmarkdown, knitr, testthat (>= 3.1.7), callr, dplyr, pkgload, viridis
VignetteBuilder: knitr
URL: https://george-hall-ucl.github.io/dawnn/, https://github.com/george-hall-ucl/dawnn
BugReports: https://github.com/george-hall-ucl/dawnn/issues
SystemRequirements: Python (>= 3.9) with TensorFlow (>= 2.0), typically installed in a conda environment and selected via the 'tf_conda_env' argument of run_dawnn(). See the package documentation for setup instructions.
NeedsCompilation: no
Packaged: 2026-08-21 19:03:16 UTC; georgehall2
Author: George Hall [aut, cre] , Sergi Castellano [aut] , University College London [cph]
Maintainer: George Hall <george.hall@ucl.ac.uk>
Repository: CRAN
Date/Publication: 2026-09-01 08:40:09 UTC

More information about dawnn at CRAN
Permanent link

New package BsplineQuantRegGui with initial version 0.2.2
Package: BsplineQuantRegGui
Title: Interactive 'Shiny' Interface for 'BsplineQuantReg'
Version: 0.2.2
Language: en-GB
Date: 2026-07-28
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. The version 0.2.2 handles knots multiplicity, Bspline basis visualisation, mean-square regression, pp form visualisation under human readable form, in local or canonical bases, The GUI provides two modes, basic (compatible with 'BsplineQuantReg' >= 0.2.2) and advanced (requires 'BsplineQuantReg' >= 0.2.5 for stable multiplicity features). This GUI an improved version of the 'Python Tk' version of 'BsplineQuantRegPy'.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.6.0)
Imports: BsplineQuantReg (>= 0.2.5), shiny, shinyjs, DT, plotly, png, shinythemes, colourpicker, png, ECOSolveR
Suggests: cobs, testthat
NeedsCompilation: no
Packaged: 2026-08-21 20:18:23 UTC; abbes
Author: Alexandre Abbes [aut, cre]
Maintainer: Alexandre Abbes <alexandre.abbes@proton.me>
Repository: CRAN
Date/Publication: 2026-09-01 08:50:15 UTC

More information about BsplineQuantRegGui at CRAN
Permanent link

New package actiquantiles with initial version 0.1.0
Package: actiquantiles
Title: Map Activity Data to Normalized Quantiles
Version: 0.1.0
Description: Provides functions mapping physical activity measures to normalized quantiles. Currently, only maps the 'NHANES' quantiles, but other quantiles will be integrated.
License: GPL-3
Depends: R (>= 3.5)
Suggests: testthat, covr, knitr, rmarkdown, dplyr
Encoding: UTF-8
Imports: mapnhanespa
URL: https://github.com/jhuwit/actiquantiles, https://jhuwit.github.io/actiquantiles/
BugReports: https://github.com/jhuwit/actiquantiles/issues
NeedsCompilation: no
Packaged: 2026-08-21 18:25:40 UTC; johnmuschelli
Author: John Muschelli [aut, cre]
Maintainer: John Muschelli <muschellij2@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-01 08:40:15 UTC

More information about actiquantiles at CRAN
Permanent link

Package SeuratExplorer updated to version 0.1.8 with previous version 0.1.6 dated 2026-06-17

Title: An 'Shiny' App for Exploring scRNA-seq Data Processed in 'Seurat'
Description: A simple, one-command package which runs an interactive dashboard capable of common visualizations for single cell RNA-seq. 'SeuratExplorer' requires a processed 'Seurat' object, which is saved as 'rds' or 'qs2' file.
Author: Yongchao Zhang [aut, cre]
Maintainer: Yongchao Zhang <zhangyongchao@nibs.ac.cn>

Diff between SeuratExplorer versions 0.1.6 dated 2026-06-17 and 0.1.8 dated 2026-09-01

 DESCRIPTION                 |    6 
 MD5                         |   15 
 NAMESPACE                   |    3 
 R/functions.R               |   76 +++
 R/launch.R                  |    5 
 R/server.R                  |  841 +++++++++++++++++++++++++++++++++++++++-----
 R/ui.R                      |  440 +++++++++++++++--------
 man/launchSeuratExplorer.Rd |    2 
 man/param_group_collapse.Rd |only
 9 files changed, 1154 insertions(+), 234 deletions(-)

More information about SeuratExplorer at CRAN
Permanent link

Package poisFErobust updated to version 2.0.1 with previous version 2.0.0 dated 2020-02-17

Title: Poisson Fixed Effects Robust
Description: Computation of robust standard errors of Poisson fixed effects models, following Wooldridge (1999).
Author: Evan Wright [aut, cre]
Maintainer: Evan Wright <enwright@umich.edu>

Diff between poisFErobust versions 2.0.0 dated 2020-02-17 and 2.0.1 dated 2026-09-01

 DESCRIPTION           |    9 ++++-----
 LICENSE               |    2 +-
 MD5                   |   10 +++++-----
 NEWS.md               |    4 ++++
 build/partial.rdb     |binary
 man/pois.fe.robust.Rd |   29 +++++++++++------------------
 6 files changed, 25 insertions(+), 29 deletions(-)

More information about poisFErobust at CRAN
Permanent link

Package phontrast updated to version 2.4.1 with previous version 2.4.0 dated 2026-08-21

Title: Contrast and Separation Metrics for Phonological Categories
Description: Computes and compares multiple measures of separation and overlap between phonological categories (for example vowels or consonants) in arbitrary multi-dimensional acoustic spaces such as formant values, mel-frequency cepstral coefficients (MFCCs), duration, or learned embeddings. The main entry point, phontrast(), reports several contrast metrics in one call -- Jensen-Shannon divergence and distance (Lin, 1991) <doi:10.1109/18.61115>, the Pillai-Bartlett trace, Bhattacharyya distance and affinity, Mahalanobis distance, and proportional overlap -- globally or by group on a common separation-oriented scale, with bootstrap confidence intervals. Also provides utilities for preparing estimates for downstream modelling such as generalized additive models and mixed-effects models. Formerly released as 'phonJSD'.
Author: Grant M. Berry [aut, cre]
Maintainer: Grant M. Berry <berry.grant@gmail.com>

Diff between phontrast versions 2.4.0 dated 2026-08-21 and 2.4.1 dated 2026-09-01

 DESCRIPTION                               |    6 +++---
 MD5                                       |    8 ++++----
 NEWS.md                                   |   16 ++++++++++++++++
 R/pillai_bhatt.R                          |   20 ++++++++++++++------
 tests/testthat/test-pillai-standardized.R |   17 +++++++++++++++++
 5 files changed, 54 insertions(+), 13 deletions(-)

More information about phontrast at CRAN
Permanent link

Package outcomerate updated to version 1.1.0 with previous version 1.0.1 dated 2018-10-06

Title: AAPOR Survey Outcome Rates
Description: Standardized survey outcome rate functions, including the response rate, contact rate, cooperation rate, and refusal rate. These outcome rates allow survey researchers to measure the quality of survey data using definitions published by the American Association for Public Opinion Research (AAPOR). For details on these standards, see AAPOR (2023) <https://aapor.org/wp-content/uploads/2024/03/Standards-Definitions-10th-edition.pdf>.
Author: Rafael Pilliard Hellwig [aut, cre] , Carl Ganz [rev], Neal Richardson [rev]
Maintainer: Rafael Pilliard Hellwig <rafael.taph@gmail.com>

Diff between outcomerate versions 1.0.1 dated 2018-10-06 and 1.1.0 dated 2026-09-01

 DESCRIPTION                                |   18 
 MD5                                        |   56 +--
 NEWS.md                                    |   25 +
 R/asserters.R                              |  144 ++++++-
 R/datasets.R                               |   37 +-
 R/eligibility_rate.R                       |   66 ++-
 R/helpers.R                                |   33 +
 R/outcomerate.R                            |  188 +++++++---
 R/sysdata.rda                              |binary
 README.md                                  |  134 ++++---
 build/partial.rdb                          |binary
 build/vignette.rds                         |binary
 inst/CITATION                              |   18 
 inst/REFERENCES.bib                        |   18 
 inst/WORDLIST                              |   28 -
 inst/doc/intro-to-outcomerate.R            |   62 ++-
 inst/doc/intro-to-outcomerate.Rmd          |   67 ++-
 inst/doc/intro-to-outcomerate.html         |  532 +++++++++++++++++++----------
 man/eligibility_rate.Rd                    |   46 +-
 man/fmat.Rd                                |   27 -
 man/middleearth.Rd                         |    9 
 man/outcomerate.Rd                         |  137 +++++--
 tests/testthat/_snaps                      |only
 tests/testthat/spelling.R                  |    4 
 tests/testthat/test-aggregate-boundaries.R |only
 tests/testthat/test-e.R                    |only
 tests/testthat/test-helpers.R              |   38 +-
 tests/testthat/test-params.R               |   44 +-
 tests/testthat/test-rate.R                 |   15 
 tests/testthat/test-ur.R                   |only
 vignettes/intro-to-outcomerate.Rmd         |   67 ++-
 31 files changed, 1236 insertions(+), 577 deletions(-)

More information about outcomerate at CRAN
Permanent link

Package NHANES updated to version 2.1.4 with previous version 2.1.0 dated 2015-07-02

Title: Data from the US National Health and Nutrition Examination Study
Description: Body Shape and related measurements from the US National Health and Nutrition Examination Survey (NHANES, 1999-2004). See <https://www.cdc.gov/nchs/nhanes/index.html> for details.
Author: Randall Pruim [aut, cre]
Maintainer: Randall Pruim <rpruim@gmail.com>

Diff between NHANES versions 2.1.0 dated 2015-07-02 and 2.1.4 dated 2026-09-01

 NHANES-2.1.0/NHANES/data/datalist      |only
 NHANES-2.1.4/NHANES/DESCRIPTION        |   19 +-
 NHANES-2.1.4/NHANES/MD5                |   15 -
 NHANES-2.1.4/NHANES/NAMESPACE          |    3 
 NHANES-2.1.4/NHANES/R/datasets.R       |   62 +++-----
 NHANES-2.1.4/NHANES/README.md          |    3 
 NHANES-2.1.4/NHANES/data/NHANES.rda    |binary
 NHANES-2.1.4/NHANES/data/NHANESraw.rda |binary
 NHANES-2.1.4/NHANES/man/NHANES.Rd      |  253 ++++++++++++++++-----------------
 9 files changed, 177 insertions(+), 178 deletions(-)

More information about NHANES at CRAN
Permanent link

Package detect updated to version 0.5-2 with previous version 0.5-1 dated 2026-01-08

Title: Analyzing Wildlife Data with Detection Error
Description: Models for analyzing site occupancy and count data models with detection error, including single-visit based models (Lele et al. 2012 <doi:10.1093/jpe/rtr042>, Moreno et al. 2010 <doi:10.1890/09-1073.1>, Solymos et al. 2012 <doi:10.1002/env.1149>, Denes et al. 2016 <doi:10.1111/1365-2664.12818>), conditional distance sampling and time-removal models (QPAD) (Solymos et al. 2013 <doi:10.1111/2041-210X.12106>, Solymos et al. 2018 <doi:10.1650/CONDOR-18-32.1>), and single bin QPAD (SQPAD) models (Lele & Solymos 2025 <doi:10.1093/ornithapp/duaf078>). Package development was supported by the Alberta Biodiversity Monitoring Institute and the Boreal Avian Modelling Project.
Author: Peter Solymos [aut, cre] , Monica Moreno [aut], Subhash R. Lele [aut], Steven L. Van Wilgenburg [ctb]
Maintainer: Peter Solymos <psolymos@gmail.com>

Diff between detect versions 0.5-1 dated 2026-01-08 and 0.5-2 dated 2026-09-01

 DESCRIPTION    |    8 ++++----
 MD5            |   14 +++++++-------
 NAMESPACE      |    1 +
 R/coef.svabu.R |   48 ++++++++++++++++++++++++++++--------------------
 R/coef.svocc.R |   30 +++++++++++++++++-------------
 R/sqpad.R      |   28 ++++++++++++++++++++++++++--
 inst/WORDLIST  |    3 +++
 man/sqpad.Rd   |   27 +++++++++++++++++++++------
 8 files changed, 107 insertions(+), 52 deletions(-)

More information about detect at CRAN
Permanent link

Package confidenceSim readmission to version 0.1.1 with previous version 0.1.0 dated 2025-10-25

Title: Highly Customizable, Parallelized Simulations of Frequentist Confidence Clinical Trials
Description: Simulate one or many frequentist confidence clinical trials based on a specified set of parameters. From a two-arm, single-stage trial to a perpetually run Adaptive Platform Trial, this package offers vast flexibility to customize your trial and observe operational characteristics over thousands of instances.
Author: Freda Werdiger [aut, cre]
Maintainer: Freda Werdiger <freda.werdiger@unimelb.edu.au>

This is a re-admission after prior archival of version 0.1.0 dated 2025-10-25

Diff between confidenceSim versions 0.1.0 dated 2025-10-25 and 0.1.1 dated 2026-09-01

 DESCRIPTION                                   |   10 ++++----
 MD5                                           |   15 ++++++-------
 NEWS.md                                       |only
 R/trialDesignFns.R                            |    8 +++---
 build/partial.rdb                             |binary
 build/vignette.rds                            |binary
 inst/doc/running-simulations-in-parallel.html |   30 +++++++++++++-------------
 man/getConfidenceFromBounds.Rd                |    2 -
 man/getGSDesign.Rd                            |    6 ++---
 9 files changed, 36 insertions(+), 35 deletions(-)

More information about confidenceSim at CRAN
Permanent link

Package CausalQueries updated to version 1.4.6 with previous version 1.4.5 dated 2026-01-29

Title: Make, Update, and Query Binary Causal Models
Description: Users can declare causal models over binary nodes, update beliefs about causal types given data, and calculate arbitrary queries. Updating is implemented in 'stan'. See Tietz, Medina, Syunyaev and Humphreys (2026) <doi:10.18637/jss.v117.i01>, Humphreys and Jacobs (2023) <doi:10.1017/9781316718636> and Pearl (2009) <doi:10.1017/CBO9780511803161>.
Author: Clara Bicalho [ctb], Jasper Cooper [ctb], Macartan Humphreys [aut] , Till Tietz [aut, cre] , Alan Jacobs [aut], Merlin Heidemanns [ctb], Lily Medina [aut] , Julio Solis [ctb], Georgiy Syunyaev [aut] , Moritz Marbach [ctb]
Maintainer: Till Tietz <ttietz2014@gmail.com>

Diff between CausalQueries versions 1.4.5 dated 2026-01-29 and 1.4.6 dated 2026-09-01

 DESCRIPTION                        |   10 +++----
 MD5                                |   42 +++++++++++++++++----------------
 NEWS.md                            |    7 ++++-
 R/CausalQueries-package.R          |    6 ++++
 R/make_models.R                    |    5 +++
 R/query_model.R                    |    5 +++
 R/realise_outcomes.R               |    4 ++-
 R/update_model.R                   |    8 +++++-
 build/partial.rdb                  |only
 inst/CITATION                      |only
 man/CausalQueries-package.Rd       |    7 +++++
 man/data_helpers.Rd                |   13 +++-------
 man/get_all_data_types.Rd          |    6 ++--
 man/make_data_single.Rd            |    6 ++--
 man/make_model.Rd                  |    6 ++++
 man/observe_data.Rd                |    6 ++--
 man/parents_to_int.Rd              |    5 ---
 man/query_model.Rd                 |    6 ++++
 man/set_confound.Rd                |    6 ++--
 man/set_prior_distribution.Rd      |    6 ++--
 man/set_restrictions.Rd            |    6 ++--
 man/update_model.Rd                |    6 ++++
 tests/testthat/test_update_model.R |   47 +++++++++++++++++++++++++++++++++++++
 23 files changed, 154 insertions(+), 59 deletions(-)

More information about CausalQueries at CRAN
Permanent link


Built and running on Debian GNU/Linux using R, littler and blosxom. Styled with Bootstrap.