Sat, 29 Nov 2025

Package nlmixr2plot updated to version 5.0.0 with previous version 3.0.3 dated 2025-08-22

Title: Nonlinear Mixed Effects Models in Population PK/PD, Plot Functions
Description: Fit and compare nonlinear mixed-effects models in differential equations with flexible dosing information commonly seen in pharmacokinetics and pharmacodynamics (Almquist, Leander, and Jirstrand 2015 <doi:10.1007/s10928-015-9409-1>). Differential equation solving is by compiled C code provided in the 'rxode2' package (Wang, Hallow, and James 2015 <doi:10.1002/psp4.12052>). This package is for 'ggplot2' plotting methods for 'nlmixr2' objects.
Author: Matthew Fidler [aut, cre] , Bill Denney [ctb] , Wenping Wang [aut], Vipul Mann [aut]
Maintainer: Matthew Fidler <matthew.fidler@gmail.com>

Diff between nlmixr2plot versions 3.0.3 dated 2025-08-22 and 5.0.0 dated 2025-11-29

 DESCRIPTION |   10 +++++-----
 MD5         |    2 +-
 2 files changed, 6 insertions(+), 6 deletions(-)

More information about nlmixr2plot at CRAN
Permanent link

Package ggpmisc updated to version 0.6.3 with previous version 0.6.2 dated 2025-07-08

Title: Miscellaneous Extensions to 'ggplot2'
Description: Extensions to 'ggplot2' respecting the grammar of graphics paradigm. Statistics: locate and tag peaks and valleys; label plot with the equation of a fitted polynomial or other types of models including major axis, quantile and robust and resistant regression. Labels for P-value, R^2 or adjusted R^2 or information criteria for fitted models; parametric and non-parametric correlation; label with ANOVA table for fitted models; label with summary table for fitted models; annotations for multiple comparisons with adjusted P-values. Model fit classes for which suitable methods are provided by package 'broom' and 'broom.mixed' are supported as well as user-defined wrappers on model fit functions. Scales and stats to build volcano and quadrant plots based on outcomes, fold changes, p-values and false discovery rates.
Author: Pedro J. Aphalo [aut, cre] , Kamil Slowikowski [ctb] , Samer Mouksassi [ctb]
Maintainer: Pedro J. Aphalo <pedro.aphalo@helsinki.fi>

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 ggpmisc-0.6.3/ggpmisc/MD5                                                                                      |  428 ----
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Package MultiBD updated to version 1.0.0 with previous version 0.2.0 dated 2016-07-28

Title: Multivariate Birth-Death Processes
Description: Computationally efficient functions to provide direct likelihood-based inference for partially-observed multivariate birth-death processes. Such processes range from a simple Yule model to the complex susceptible-infectious-removed model in disease dynamics. Efficient likelihood evaluation facilitates maximum likelihood estimation and Bayesian inference.
Author: Lam S.T. Ho [aut], Marc A. Suchard [aut, cre], Forrest W. Crawford [aut], Jason Xu [ctb], Vladimir N. Minin [ctb]
Maintainer: Marc A. Suchard <msuchard@ucla.edu>

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Package corrselect updated to version 3.0.2 with previous version 2.0.1 dated 2025-09-08

Title: Correlation-Based and Model-Based Predictor Pruning
Description: Provides functions for predictor pruning using association-based and model-based approaches. Includes corrPrune() for fast correlation-based pruning, modelPrune() for VIF-based regression pruning, and exact graph-theoretic algorithms (Eppstein–Löffler–Strash, Bron–Kerbosch) for exhaustive subset enumeration. Supports linear models, GLMs, and mixed models ('lme4', 'glmmTMB').
Author: Gilles Colling [aut, cre]
Maintainer: Gilles Colling <gilles.colling051@gmail.com>

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Package RcppXsimd updated to version 7.1.6-1 with previous version 7.1.6 dated 2021-01-21

Title: Xsimd C++ Header-Only Library Files
Description: This header-only library provides modern, portable C++ wrappers for SIMD intrinsics and parallelized, optimized math implementations (SSE, AVX, NEON, AVX512). By placing this library in this package, we offer an efficient distribution system for Xsimd <https://github.com/xtensor-stack/xsimd> for R packages using CRAN.
Author: Marc A. Suchard [aut, cre], Andrew J. Holbrook [aut], Observational Health Data Sciences and Informatics [cph], Johan Mabille [cph, ctb] , Sylvain Corlay [cph, ctb] , Alexander J. Lee [cph, ctb]
Maintainer: Marc A. Suchard <msuchard@ucla.edu>

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Package lpanda updated to version 0.2.0 with previous version 0.1.1 dated 2025-09-01

Title: Local Political Actor Network Diachronic Analysis Tools
Description: Provides functions to prepare, visualize, and analyse diachronic network data on local political actors, with a particular focus on the development of local party systems and identification of actor groups. Formalizes and automates a continuity diagram method that has been previously applied in research on Czech local politics, e.g. Bubenicek and Kubalek (2010, ISSN:1803-8220), Kubalek and Bubenicek (2012, ISSN:1803-8220), and Cmejrek, Bubenicek, and Copik (2010, ISBN:978-80-247-3061-5). The package also includes several example datasets derived from Czech municipal elections, compiled from official election results, field research, and previously published case studies on Czech local politics.
Author: Vaclav Bubenicek [aut, cre, cph] )
Maintainer: Vaclav Bubenicek <bubenicek@pef.czu.cz>

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More information about lpanda at CRAN
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Package crmPack updated to version 2.0.0 with previous version 1.0.6 dated 2024-06-26

Title: Object-Oriented Implementation of Dose Escalation Designs
Description: Implements a wide range of dose escalation designs. The focus is on model-based designs, ranging from classical and modern continual reassessment methods (CRMs) based on dose-limiting toxicity endpoints to dual-endpoint designs taking into account a biomarker/efficacy outcome. Bayesian inference is performed via MCMC sampling in JAGS, and it is easy to setup a new design with custom JAGS code. However, it is also possible to implement 3+3 designs for comparison or models with non-Bayesian estimation. The whole package is written in a modular form in the S4 class system, making it very flexible for adaptation to new models, escalation or stopping rules. Further details are presented in Sabanes Bove et al. (2019) <doi:10.18637/jss.v089.i10>.
Author: Daniel Sabanes Bove [aut, cre], Wai Yin Yeung [aut], Burak Kuersad Guenhan [aut], Giuseppe Palermo [aut], Thomas Jaki [aut], Jiawen Zhu [aut], Ziwei Liao [aut], Dimitris Kontos [aut], Marlene Schulte-Goebel [aut], Doug Kelkhoff [aut] , Oliver Boix [a [...truncated...]
Maintainer: Daniel Sabanes Bove <daniel.sabanes_bove@rconis.com>

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 crmPack-2.0.0/crmPack/man/GeneralModel-class.Rd                               |  118 
 crmPack-2.0.0/crmPack/man/GeneralSimulations-class.Rd                         |   82 
 crmPack-2.0.0/crmPack/man/GeneralSimulationsSummary-class.Rd                  |   99 
 crmPack-2.0.0/crmPack/man/Increments-class.Rd                                 |   39 
 crmPack-2.0.0/crmPack/man/IncrementsDoseLevels-class.Rd                       |only
 crmPack-2.0.0/crmPack/man/IncrementsHSRBeta-class.Rd                          |only
 crmPack-2.0.0/crmPack/man/IncrementsMaxToxProb-class.Rd                       |only
 crmPack-2.0.0/crmPack/man/IncrementsMin-class.Rd                              |only
 crmPack-2.0.0/crmPack/man/IncrementsOrdinal-class.Rd                          |only
 crmPack-2.0.0/crmPack/man/IncrementsRelative-class.Rd                         |   85 
 crmPack-2.0.0/crmPack/man/IncrementsRelativeDLT-class.Rd                      |   97 
 crmPack-2.0.0/crmPack/man/IncrementsRelativeDLTCurrent-class.Rd               |only
 crmPack-2.0.0/crmPack/man/IncrementsRelativeParts-class.Rd                    |  108 
 crmPack-2.0.0/crmPack/man/LogisticIndepBeta-class.Rd                          |  261 
 crmPack-2.0.0/crmPack/man/LogisticKadane-class.Rd                             |  117 
 crmPack-2.0.0/crmPack/man/LogisticKadaneBetaGamma-class.Rd                    |only
 crmPack-2.0.0/crmPack/man/LogisticLogNormal-class.Rd                          |  111 
 crmPack-2.0.0/crmPack/man/LogisticLogNormalGrouped-class.Rd                   |only
 crmPack-2.0.0/crmPack/man/LogisticLogNormalMixture-class.Rd                   |  168 
 crmPack-2.0.0/crmPack/man/LogisticLogNormalOrdinal-class.Rd                   |only
 crmPack-2.0.0/crmPack/man/LogisticLogNormalSub-class.Rd                       |  102 
 crmPack-2.0.0/crmPack/man/LogisticNormal-class.Rd                             |  112 
 crmPack-2.0.0/crmPack/man/LogisticNormalFixedMixture-class.Rd                 |  166 
 crmPack-2.0.0/crmPack/man/LogisticNormalMixture-class.Rd                      |  146 
 crmPack-2.0.0/crmPack/man/McmcOptions-class.Rd                                |  106 
 crmPack-2.0.0/crmPack/man/MinimalInformative.Rd                               |  196 
 crmPack-2.0.0/crmPack/man/ModelEff-class.Rd                                   |   99 
 crmPack-2.0.0/crmPack/man/ModelLogNormal-class.Rd                             |only
 crmPack-2.0.0/crmPack/man/ModelParamsNormal-class.Rd                          |only
 crmPack-2.0.0/crmPack/man/ModelPseudo-class.Rd                                |   43 
 crmPack-2.0.0/crmPack/man/ModelTox-class.Rd                                   |  107 
 crmPack-2.0.0/crmPack/man/NextBest-class.Rd                                   |   43 
 crmPack-2.0.0/crmPack/man/NextBestDualEndpoint-class.Rd                       |  153 
 crmPack-2.0.0/crmPack/man/NextBestEWOC-class.Rd                               |only
 crmPack-2.0.0/crmPack/man/NextBestInfTheory-class.Rd                          |only
 crmPack-2.0.0/crmPack/man/NextBestMTD-class.Rd                                |   80 
 crmPack-2.0.0/crmPack/man/NextBestMaxGain-class.Rd                            |   87 
 crmPack-2.0.0/crmPack/man/NextBestMaxGainSamples-class.Rd                     |  128 
 crmPack-2.0.0/crmPack/man/NextBestMinDist-class.Rd                            |only
 crmPack-2.0.0/crmPack/man/NextBestNCRM-class.Rd                               |  101 
 crmPack-2.0.0/crmPack/man/NextBestNCRMLoss-class.Rd                           |only
 crmPack-2.0.0/crmPack/man/NextBestOrdinal-class.Rd                            |only
 crmPack-2.0.0/crmPack/man/NextBestProbMTDLTE-class.Rd                         |only
 crmPack-2.0.0/crmPack/man/NextBestProbMTDMinDist-class.Rd                     |only
 crmPack-2.0.0/crmPack/man/NextBestTD-class.Rd                                 |   88 
 crmPack-2.0.0/crmPack/man/NextBestTDsamples-class.Rd                          |  101 
 crmPack-2.0.0/crmPack/man/NextBestThreePlusThree-class.Rd                     |   48 
 crmPack-2.0.0/crmPack/man/OneParExpPrior-class.Rd                             |only
 crmPack-2.0.0/crmPack/man/OneParLogNormalPrior-class.Rd                       |only
 crmPack-2.0.0/crmPack/man/ProbitLogNormal-class.Rd                            |  121 
 crmPack-2.0.0/crmPack/man/ProbitLogNormalRel-class.Rd                         |only
 crmPack-2.0.0/crmPack/man/PseudoDualFlexiSimulations-class.Rd                 |   67 
 crmPack-2.0.0/crmPack/man/PseudoDualSimulations-class.Rd                      |  123 
 crmPack-2.0.0/crmPack/man/PseudoDualSimulationsSummary-class.Rd               |   83 
 crmPack-2.0.0/crmPack/man/PseudoSimulations-class.Rd                          |  142 
 crmPack-2.0.0/crmPack/man/PseudoSimulationsSummary-class.Rd                   |  189 
 crmPack-2.0.0/crmPack/man/Quantiles2LogisticNormal.Rd                         |  139 
 crmPack-2.0.0/crmPack/man/RuleDesign-class.Rd                                 |  111 
 crmPack-2.0.0/crmPack/man/RuleDesignOrdinal-class.Rd                          |only
 crmPack-2.0.0/crmPack/man/SafetyWindow-class.Rd                               |only
 crmPack-2.0.0/crmPack/man/SafetyWindowConst-class.Rd                          |only
 crmPack-2.0.0/crmPack/man/SafetyWindowSize-class.Rd                           |only
 crmPack-2.0.0/crmPack/man/Samples-class.Rd                                    |   91 
 crmPack-2.0.0/crmPack/man/Simulations-class.Rd                                |  111 
 crmPack-2.0.0/crmPack/man/SimulationsSummary-class.Rd                         |   60 
 crmPack-2.0.0/crmPack/man/StartingDose-class.Rd                               |only
 crmPack-2.0.0/crmPack/man/Stopping-class.Rd                                   |   50 
 crmPack-2.0.0/crmPack/man/StoppingAll-class.Rd                                |   89 
 crmPack-2.0.0/crmPack/man/StoppingAny-class.Rd                                |   89 
 crmPack-2.0.0/crmPack/man/StoppingCohortsNearDose-class.Rd                    |   81 
 crmPack-2.0.0/crmPack/man/StoppingExternal-class.Rd                           |only
 crmPack-2.0.0/crmPack/man/StoppingHighestDose-class.Rd                        |   75 
 crmPack-2.0.0/crmPack/man/StoppingList-class.Rd                               |  100 
 crmPack-2.0.0/crmPack/man/StoppingLowestDoseHSRBeta-class.Rd                  |only
 crmPack-2.0.0/crmPack/man/StoppingMTDCV-class.Rd                              |only
 crmPack-2.0.0/crmPack/man/StoppingMTDdistribution-class.Rd                    |   96 
 crmPack-2.0.0/crmPack/man/StoppingMaxGainCIRatio-class.Rd                     |only
 crmPack-2.0.0/crmPack/man/StoppingMinCohorts-class.Rd                         |   64 
 crmPack-2.0.0/crmPack/man/StoppingMinPatients-class.Rd                        |   64 
 crmPack-2.0.0/crmPack/man/StoppingMissingDose-class.Rd                        |only
 crmPack-2.0.0/crmPack/man/StoppingOrdinal-class.Rd                            |only
 crmPack-2.0.0/crmPack/man/StoppingPatientsNearDose-class.Rd                   |   82 
 crmPack-2.0.0/crmPack/man/StoppingSpecificDose-class.Rd                       |only
 crmPack-2.0.0/crmPack/man/StoppingTDCIRatio-class.Rd                          |   86 
 crmPack-2.0.0/crmPack/man/StoppingTargetBiomarker-class.Rd                    |   95 
 crmPack-2.0.0/crmPack/man/StoppingTargetProb-class.Rd                         |   77 
 crmPack-2.0.0/crmPack/man/TDDesign-class.Rd                                   |  164 
 crmPack-2.0.0/crmPack/man/TDsamplesDesign-class.Rd                            |  174 
 crmPack-2.0.0/crmPack/man/TITELogisticLogNormal-class.Rd                      |only
 crmPack-2.0.0/crmPack/man/Validate.Rd                                         |   52 
 crmPack-2.0.0/crmPack/man/and-Stopping-Stopping-method.Rd                     |   64 
 crmPack-2.0.0/crmPack/man/and-Stopping-StoppingAll-method.Rd                  |   70 
 crmPack-2.0.0/crmPack/man/and-StoppingAll-Stopping-method.Rd                  |   70 
 crmPack-2.0.0/crmPack/man/approximate.Rd                                      |  206 
 crmPack-2.0.0/crmPack/man/assertions.Rd                                       |only
 crmPack-2.0.0/crmPack/man/biomarker.Rd                                        |only
 crmPack-2.0.0/crmPack/man/check_equal.Rd                                      |only
 crmPack-2.0.0/crmPack/man/check_format.Rd                                     |only
 crmPack-2.0.0/crmPack/man/check_length.Rd                                     |only
 crmPack-2.0.0/crmPack/man/check_probabilities.Rd                              |only
 crmPack-2.0.0/crmPack/man/check_probability.Rd                                |only
 crmPack-2.0.0/crmPack/man/check_probability_range.Rd                          |only
 crmPack-2.0.0/crmPack/man/check_range.Rd                                      |only
 crmPack-2.0.0/crmPack/man/crmPack.Rd                                          |only
 crmPack-2.0.0/crmPack/man/crmPackExample.Rd                                   |   36 
 crmPack-2.0.0/crmPack/man/crmPackHelp.Rd                                      |   35 
 crmPack-2.0.0/crmPack/man/dapply.Rd                                           |only
 crmPack-2.0.0/crmPack/man/dinvGamma.Rd                                        |   49 
 crmPack-2.0.0/crmPack/man/dose.Rd                                             |  353 
 crmPack-2.0.0/crmPack/man/doseFunction.Rd                                     |only
 crmPack-2.0.0/crmPack/man/dose_grid_range.Rd                                  |only
 crmPack-2.0.0/crmPack/man/efficacy.Rd                                         |only
 crmPack-2.0.0/crmPack/man/efficacyFunction.Rd                                 |only
 crmPack-2.0.0/crmPack/man/enable_logging.Rd                                   |only
 crmPack-2.0.0/crmPack/man/examine.Rd                                          |  429 
 crmPack-2.0.0/crmPack/man/figures                                             |only
 crmPack-2.0.0/crmPack/man/fit.Rd                                              |  543 
 crmPack-2.0.0/crmPack/man/fitGain.Rd                                          |  242 
 crmPack-2.0.0/crmPack/man/fitPEM.Rd                                           |only
 crmPack-2.0.0/crmPack/man/gain.Rd                                             |  253 
 crmPack-2.0.0/crmPack/man/get-Samples-character-method.Rd                     |  112 
 crmPack-2.0.0/crmPack/man/getEff.Rd                                           |   85 
 crmPack-2.0.0/crmPack/man/get_result_list.Rd                                  |only
 crmPack-2.0.0/crmPack/man/h_all_equivalent.Rd                                 |only
 crmPack-2.0.0/crmPack/man/h_barplot_percentages.Rd                            |only
 crmPack-2.0.0/crmPack/man/h_blind_plot_data.Rd                                |only
 crmPack-2.0.0/crmPack/man/h_calc_report_label_percentage.Rd                   |only
 crmPack-2.0.0/crmPack/man/h_check_fun_formals.Rd                              |only
 crmPack-2.0.0/crmPack/man/h_convert_ordinal_data.Rd                           |only
 crmPack-2.0.0/crmPack/man/h_convert_ordinal_model.Rd                          |only
 crmPack-2.0.0/crmPack/man/h_convert_ordinal_samples.Rd                        |only
 crmPack-2.0.0/crmPack/man/h_covr_helpers.Rd                                   |only
 crmPack-2.0.0/crmPack/man/h_default_if_empty.Rd                               |only
 crmPack-2.0.0/crmPack/man/h_determine_dlts.Rd                                 |only
 crmPack-2.0.0/crmPack/man/h_find_interval.Rd                                  |only
 crmPack-2.0.0/crmPack/man/h_format_number.Rd                                  |only
 crmPack-2.0.0/crmPack/man/h_get_formatted_dosegrid.Rd                         |only
 crmPack-2.0.0/crmPack/man/h_get_min_inf_beta.Rd                               |only
 crmPack-2.0.0/crmPack/man/h_get_quantiles_start_values.Rd                     |only
 crmPack-2.0.0/crmPack/man/h_group_data.Rd                                     |only
 crmPack-2.0.0/crmPack/man/h_in_range.Rd                                       |only
 crmPack-2.0.0/crmPack/man/h_info_theory_dist.Rd                               |only
 crmPack-2.0.0/crmPack/man/h_is_positive_definite.Rd                           |only
 crmPack-2.0.0/crmPack/man/h_jags_add_dummy.Rd                                 |only
 crmPack-2.0.0/crmPack/man/h_jags_extract_samples.Rd                           |only
 crmPack-2.0.0/crmPack/man/h_jags_get_data.Rd                                  |only
 crmPack-2.0.0/crmPack/man/h_jags_get_model_inits.Rd                           |only
 crmPack-2.0.0/crmPack/man/h_jags_join_models.Rd                               |only
 crmPack-2.0.0/crmPack/man/h_jags_write_model.Rd                               |only
 crmPack-2.0.0/crmPack/man/h_knit_format_func.Rd                               |only
 crmPack-2.0.0/crmPack/man/h_model_dual_endpoint_beta.Rd                       |only
 crmPack-2.0.0/crmPack/man/h_model_dual_endpoint_rho.Rd                        |only
 crmPack-2.0.0/crmPack/man/h_model_dual_endpoint_sigma2betaw.Rd                |only
 crmPack-2.0.0/crmPack/man/h_model_dual_endpoint_sigma2w.Rd                    |only
 crmPack-2.0.0/crmPack/man/h_next_best_eligible_doses.Rd                       |only
 crmPack-2.0.0/crmPack/man/h_next_best_mg_ci.Rd                                |only
 crmPack-2.0.0/crmPack/man/h_next_best_mg_doses_at_grid.Rd                     |only
 crmPack-2.0.0/crmPack/man/h_next_best_mg_plot.Rd                              |only
 crmPack-2.0.0/crmPack/man/h_next_best_mgsamples_plot.Rd                       |only
 crmPack-2.0.0/crmPack/man/h_next_best_ncrm_loss_plot.Rd                       |only
 crmPack-2.0.0/crmPack/man/h_next_best_td_plot.Rd                              |only
 crmPack-2.0.0/crmPack/man/h_next_best_tdsamples_plot.Rd                       |only
 crmPack-2.0.0/crmPack/man/h_null_if_na.Rd                                     |only
 crmPack-2.0.0/crmPack/man/h_obtain_dose_grid_range.Rd                         |only
 crmPack-2.0.0/crmPack/man/h_plot_data_cohort_lines.Rd                         |only
 crmPack-2.0.0/crmPack/man/h_plot_data_df.Rd                                   |only
 crmPack-2.0.0/crmPack/man/h_plot_doses_tried.Rd                               |only
 crmPack-2.0.0/crmPack/man/h_plot_simulation_trajectory.Rd                     |only
 crmPack-2.0.0/crmPack/man/h_prepare_labels.Rd                                 |only
 crmPack-2.0.0/crmPack/man/h_prepare_units.Rd                                  |only
 crmPack-2.0.0/crmPack/man/h_pseudo_sim_fit_summary.Rd                         |only
 crmPack-2.0.0/crmPack/man/h_pseudo_sim_inverse_dose.Rd                        |only
 crmPack-2.0.0/crmPack/man/h_quantiles_target_function.Rd                      |only
 crmPack-2.0.0/crmPack/man/h_rapply.Rd                                         |only
 crmPack-2.0.0/crmPack/man/h_simulations_output_format.Rd                      |only
 crmPack-2.0.0/crmPack/man/h_slots.Rd                                          |only
 crmPack-2.0.0/crmPack/man/h_summarize_add_stats.Rd                            |only
 crmPack-2.0.0/crmPack/man/h_test_named_numeric.Rd                             |only
 crmPack-2.0.0/crmPack/man/h_this_truth.Rd                                     |only
 crmPack-2.0.0/crmPack/man/h_unpack_stopit.Rd                                  |only
 crmPack-2.0.0/crmPack/man/h_validate_combine_results.Rd                       |only
 crmPack-2.0.0/crmPack/man/h_validate_common_data_slots.Rd                     |only
 crmPack-2.0.0/crmPack/man/knit_print.Rd                                       |only
 crmPack-2.0.0/crmPack/man/logit.Rd                                            |   41 
 crmPack-2.0.0/crmPack/man/match_within_tolerance.Rd                           |only
 crmPack-2.0.0/crmPack/man/maxDose.Rd                                          |  486 
 crmPack-2.0.0/crmPack/man/maxSize.Rd                                          |   96 
 crmPack-2.0.0/crmPack/man/mcmc.Rd                                             |  518 
 crmPack-2.0.0/crmPack/man/minSize.Rd                                          |   96 
 crmPack-2.0.0/crmPack/man/myBayesLogit.Rd                                     |   55 
 crmPack-2.0.0/crmPack/man/names-Samples-method.Rd                             |only
 crmPack-2.0.0/crmPack/man/nextBest.Rd                                         | 1491 +
 crmPack-2.0.0/crmPack/man/ngrid.Rd                                            |only
 crmPack-2.0.0/crmPack/man/or-Stopping-Stopping.Rd                             |   65 
 crmPack-2.0.0/crmPack/man/or-Stopping-StoppingAny.Rd                          |   71 
 crmPack-2.0.0/crmPack/man/or-StoppingAny-Stopping.Rd                          |   71 
 crmPack-2.0.0/crmPack/man/pinvGamma.Rd                                        |   50 
 crmPack-2.0.0/crmPack/man/pipe.Rd                                             |only
 crmPack-2.0.0/crmPack/man/plot-Data-ModelTox-method.Rd                        |  108 
 crmPack-2.0.0/crmPack/man/plot-Data.Rd                                        |only
 crmPack-2.0.0/crmPack/man/plot-DataDA-missing-method.Rd                       |only
 crmPack-2.0.0/crmPack/man/plot-DataDual-ModelEff-method.Rd                    |  113 
 crmPack-2.0.0/crmPack/man/plot-DataDual-missing-method.Rd                     |   81 
 crmPack-2.0.0/crmPack/man/plot-DualSimulations-missing-method.Rd              |  375 
 crmPack-2.0.0/crmPack/man/plot-DualSimulationsSummary-missing-method.Rd       |  295 
 crmPack-2.0.0/crmPack/man/plot-GeneralSimulations-missing-method.Rd           |  254 
 crmPack-2.0.0/crmPack/man/plot-GeneralSimulationsSummary-missing-method.Rd    |   87 
 crmPack-2.0.0/crmPack/man/plot-PseudoDualFlexiSimulations-missing-method.Rd   |  253 
 crmPack-2.0.0/crmPack/man/plot-PseudoDualSimulations-missing-method.Rd        |  287 
 crmPack-2.0.0/crmPack/man/plot-PseudoDualSimulationsSummary-missing-method.Rd |  454 
 crmPack-2.0.0/crmPack/man/plot-PseudoSimulationsSummary-missing-method.Rd     |  261 
 crmPack-2.0.0/crmPack/man/plot-Samples-DALogisticLogNormal-method.Rd          |only
 crmPack-2.0.0/crmPack/man/plot-Samples-DualEndpoint-method.Rd                 |  150 
 crmPack-2.0.0/crmPack/man/plot-Samples-GeneralModel-method.Rd                 |only
 crmPack-2.0.0/crmPack/man/plot-Samples-ModelEff-method.Rd                     |  132 
 crmPack-2.0.0/crmPack/man/plot-Samples-ModelTox-method.Rd                     |  123 
 crmPack-2.0.0/crmPack/man/plot-SimulationsSummary-missing-method.Rd           |  243 
 crmPack-2.0.0/crmPack/man/plot.gtable.Rd                                      |   42 
 crmPack-2.0.0/crmPack/man/plotDualResponses.Rd                                |  274 
 crmPack-2.0.0/crmPack/man/plotGain.Rd                                         |  249 
 crmPack-2.0.0/crmPack/man/positive_number.Rd                                  |only
 crmPack-2.0.0/crmPack/man/printVignette.Rd                                    |   34 
 crmPack-2.0.0/crmPack/man/prob.Rd                                             |  325 
 crmPack-2.0.0/crmPack/man/probFunction.Rd                                     |only
 crmPack-2.0.0/crmPack/man/probit.Rd                                           |   41 
 crmPack-2.0.0/crmPack/man/qinvGamma.Rd                                        |   50 
 crmPack-2.0.0/crmPack/man/rinvGamma.Rd                                        |   41 
 crmPack-2.0.0/crmPack/man/saveSample.Rd                                       |   77 
 crmPack-2.0.0/crmPack/man/set_seed.Rd                                         |only
 crmPack-2.0.0/crmPack/man/show-DualSimulationsSummary-method.Rd               |  249 
 crmPack-2.0.0/crmPack/man/show-GeneralSimulationsSummary-method.Rd            |   41 
 crmPack-2.0.0/crmPack/man/show-PseudoDualSimulationsSummary-method.Rd         |  279 
 crmPack-2.0.0/crmPack/man/show-PseudoSimulationsSummary-method.Rd             |  237 
 crmPack-2.0.0/crmPack/man/show-SimulationsSummary-method.Rd                   |  195 
 crmPack-2.0.0/crmPack/man/simulate-DADesign-method.Rd                         |only
 crmPack-2.0.0/crmPack/man/simulate-Design-method.Rd                           |  276 
 crmPack-2.0.0/crmPack/man/simulate-DesignGrouped-method.Rd                    |only
 crmPack-2.0.0/crmPack/man/simulate-DualDesign-method.Rd                       |  343 
 crmPack-2.0.0/crmPack/man/simulate-DualResponsesDesign-method.Rd              |  276 
 crmPack-2.0.0/crmPack/man/simulate-DualResponsesSamplesDesign-method.Rd       |  437 
 crmPack-2.0.0/crmPack/man/simulate-RuleDesign-method.Rd                       |  162 
 crmPack-2.0.0/crmPack/man/simulate-TDDesign-method.Rd                         |  252 
 crmPack-2.0.0/crmPack/man/simulate-TDsamplesDesign-method.Rd                  |  261 
 crmPack-2.0.0/crmPack/man/size.Rd                                             |  886 -
 crmPack-2.0.0/crmPack/man/stopTrial.Rd                                        | 2624 ++-
 crmPack-2.0.0/crmPack/man/summary-DualSimulations-method.Rd                   |  257 
 crmPack-2.0.0/crmPack/man/summary-GeneralSimulations-method.Rd                |   55 
 crmPack-2.0.0/crmPack/man/summary-PseudoDualFlexiSimulations-method.Rd        |  255 
 crmPack-2.0.0/crmPack/man/summary-PseudoDualSimulations-method.Rd             |  310 
 crmPack-2.0.0/crmPack/man/summary-PseudoSimulations-method.Rd                 |  251 
 crmPack-2.0.0/crmPack/man/summary-Simulations-method.Rd                       |  214 
 crmPack-2.0.0/crmPack/man/tidy.Rd                                             |only
 crmPack-2.0.0/crmPack/man/update-Data-method.Rd                               |  121 
 crmPack-2.0.0/crmPack/man/update-DataDA-method.Rd                             |only
 crmPack-2.0.0/crmPack/man/update-DataDual-method.Rd                           |   97 
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Permanent link

Package BigDataStatMeth readmission to version 1.0.2 with previous version 0.99.32 dated 2022-03-29

Title: Tools and Infrastructure for Developing 'Scalable' 'HDF5'-Based Methods
Description: A framework for 'scalable' statistical computing on large on-disk matrices stored in 'HDF5' files. It provides efficient block-wise implementations of core linear-algebra operations (matrix multiplication, SVD, PCA, QR decomposition, and canonical correlation analysis) written in C++ and R. These building blocks are designed not only for direct use, but also as foundational components for developing new statistical methods that must operate on datasets too large to fit in memory. The package supports data provided either as 'HDF5' files or standard R objects, and is intended for high-dimensional applications such as 'omics' and precision-medicine research.
Author: Dolors Pelegri-Siso [aut, cre] , Juan R. Gonzalez [aut]
Maintainer: Dolors Pelegri-Siso <dolors.pelegri@isglobal.org>

This is a re-admission after prior archival of version 0.99.32 dated 2022-03-29

Diff between BigDataStatMeth versions 0.99.32 dated 2022-03-29 and 1.0.2 dated 2025-11-29

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Package SimpleUpset updated to version 0.1.4 with previous version 0.1.3 dated 2025-10-22

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

Diff between SimpleUpset versions 0.1.3 dated 2025-10-22 and 0.1.4 dated 2025-11-29

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Package mapdeck updated to version 0.3.6 with previous version 0.3.5 dated 2024-01-29

Title: Interactive Maps Using 'Mapbox GL JS' and 'Deck.gl'
Description: Provides a mechanism to plot an interactive map using 'Mapbox GL' (<https://docs.mapbox.com/mapbox-gl-js/api/>), a javascript library for interactive maps, and 'Deck.gl' (<https://deck.gl/>), a javascript library which uses 'WebGL' for visualising large data sets.
Author: David Cooley [aut, cre]
Maintainer: David Cooley <dcooley@symbolix.com.au>

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Package spatstat.linnet updated to version 3.4-0 with previous version 3.3-2 dated 2025-09-24

Title: Linear Networks Functionality of the 'spatstat' Family
Description: Defines types of spatial data on a linear network and provides functionality for geometrical operations, data analysis and modelling of data on a linear network, in the 'spatstat' family of packages. Contains definitions and support for linear networks, including creation of networks, geometrical measurements, topological connectivity, geometrical operations such as inserting and deleting vertices, intersecting a network with another object, and interactive editing of networks. Data types defined on a network include point patterns, pixel images, functions, and tessellations. Exploratory methods include kernel estimation of intensity on a network, K-functions and pair correlation functions on a network, simulation envelopes, nearest neighbour distance and empty space distance, relative risk estimation with cross-validated bandwidth selection. Formal hypothesis tests of random pattern (chi-squared, Kolmogorov-Smirnov, Monte Carlo, Diggle-Cressie-Loosmore-Ford, Dao-Genton, two-stage Mont [...truncated...]
Author: Adrian Baddeley [aut, cre, cph] , Rolf Turner [aut, cph] , Ege Rubak [aut, cph] , Greg McSwiggan [aut, cph], Tilman Davies [ctb, cph], Mehdi Moradi [ctb, cph], Suman Rakshit [ctb, cph], Ottmar Cronie [ctb]
Maintainer: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>

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Package GitAI (with last version 0.1.2) was removed from CRAN

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

2025-08-22 0.1.2
2025-05-20 0.1.1
2025-02-20 0.1.0

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Package deduped updated to version 0.3.0 with previous version 0.2.0 dated 2023-11-07

Title: Making "Deduplicated" Functions
Description: Contains one main function deduped() which speeds up slow, vectorized functions by only performing computations on the unique values of the input and expanding the results at the end.
Author: Or Gadish [aut, cre, cph]
Maintainer: Or Gadish <orgadish@gmail.com>

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Package colourvalues updated to version 0.3.11 with previous version 0.3.9 dated 2023-04-10

Title: Assigns Colours to Values
Description: Maps one of the viridis colour palettes, or a user-specified palette to values. Viridis colour maps are created by Stéfan van der Walt and Nathaniel Smith, and were set as the default palette for the 'Python' 'Matplotlib' library <https://matplotlib.org/>. Other palettes available in this library have been derived from 'RColorBrewer' <https://CRAN.R-project.org/package=RColorBrewer> and 'colorspace' <https://CRAN.R-project.org/package=colorspace> packages.
Author: David Cooley [aut, cre]
Maintainer: David Cooley <dcooley@symbolix.com.au>

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Package tidypredict updated to version 1.0.0 with previous version 0.5.1 dated 2024-12-19

Title: Run Predictions Inside the Database
Description: It parses a fitted 'R' model object, and returns a formula in 'Tidy Eval' code that calculates the predictions. It works with several databases back-ends because it leverages 'dplyr' and 'dbplyr' for the final 'SQL' translation of the algorithm. It currently supports lm(), glm(), randomForest(), ranger(), earth(), xgb.Booster.complete(), cubist(), and ctree() models.
Author: Emil Hvitfeldt [aut, cre], Edgar Ruiz [aut], Max Kuhn [aut]
Maintainer: Emil Hvitfeldt <emil.hvitfeldt@posit.co>

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Package spatialwidget updated to version 0.2.6 with previous version 0.2.5 dated 2024-01-22

Title: Formats Spatial Data for Use in Htmlwidgets
Description: Many packages use 'htmlwidgets' <https://CRAN.R-project.org/package=htmlwidgets> for interactive plotting of spatial data. This package provides functions for converting R objects, such as simple features, into structures suitable for use in 'htmlwidgets' mapping libraries.
Author: David Cooley [aut, cre]
Maintainer: David Cooley <dcooley@symbolix.com.au>

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Package nlmixr2extra updated to version 5.0.0 with previous version 3.0.2 dated 2025-02-17

Title: Nonlinear Mixed Effects Models in Population PK/PD, Extra Support Functions
Description: Fit and compare nonlinear mixed-effects models in differential equations with flexible dosing information commonly seen in pharmacokinetics and pharmacodynamics (Almquist, Leander, and Jirstrand 2015 <doi:10.1007/s10928-015-9409-1>). Differential equation solving is by compiled C code provided in the 'rxode2' package (Wang, Hallow, and James 2015 <doi:10.1002/psp4.12052>). This package is for support functions like preconditioned fits <doi:10.1208/s12248-016-9866-5>, boostrap and stepwise covariate selection.
Author: Matthew Fidler [aut, cre] , Vipul Mann [aut], Vishal Sarsani [aut] , Christian Bartels [ctb], Bill Denney [aut]
Maintainer: Matthew Fidler <matthew.fidler@gmail.com>

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Permanent link

Package kimisc updated to version 1.0.1 with previous version 1.0.0 dated 2024-12-02

Title: Kirill's Miscellaneous Functions
Description: A collection of useful functions not found anywhere else, mainly for programming: Pretty intervals, generalized lagged differences, checking containment in an interval, and an alternative interface to assign().
Author: Kirill Mueller [aut, cre]
Maintainer: Kirill Mueller <kirill@cynkra.com>

Diff between kimisc versions 1.0.0 dated 2024-12-02 and 1.0.1 dated 2025-11-29

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Package ggbeeswarm updated to version 0.7.3 with previous version 0.7.2 dated 2023-04-29

Title: Categorical Scatter (Violin Point) Plots
Description: Provides two methods of plotting categorical scatter plots such that the arrangement of points within a category reflects the density of data at that region, and avoids over-plotting.
Author: Erik Clarke [aut, cre], Scott Sherrill-Mix [aut], Charlotte Dawson [aut]
Maintainer: Erik Clarke <erikclarke@gmail.com>

Diff between ggbeeswarm versions 0.7.2 dated 2023-04-29 and 0.7.3 dated 2025-11-29

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Package edeaR updated to version 1.0.0 with previous version 0.9.5 dated 2025-07-09

Title: Exploratory and Descriptive Event-Based Data Analysis
Description: Exploratory and descriptive analysis of event based data. Provides methods for describing and selecting process data, and for preparing event log data for process mining. Builds on the S3-class for event logs implemented in the package 'bupaR'.
Author: Benoît Depaire [cre], Gert Janssenswillen [aut], Gerard van Hulzen [ctb], Marijke Swennen [ctb], Ivan Esin [ctb], Felix Mannhardt [ctb], Hasselt University [cph]
Maintainer: Benoît Depaire <benoit.depaire@uhasselt.be>

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Package difR updated to version 6.1.0 with previous version 6.0.0 dated 2025-05-26

Title: Collection of Methods to Detect Dichotomous, Polytomous, and Continuous Differential Item Functioning (DIF)
Description: Methods to detect differential item functioning (DIF) in dichotomous, polytomous, and continuous items, using both classical and modern approaches. These include Mantel-Haenszel procedures, logistic regression (including ordinal models), and regularization-based methods such as LASSO. Uniform and non-uniform DIF effects can be detected, and some methods support multiple focal groups. The package also provides tools for anchor purification, rest score matching, effect size estimation, and DIF simulation. See Magis, Beland, Tuerlinckx, and De Boeck (2010, Behavior Research Methods, 42, 847–862, <doi:10.3758/BRM.42.3.847>) for a general overview.
Author: David Magis [aut] , Sebastien Beland [aut, cre] , Carl F. Falk [aut] , Gilles Raiche [aut] , Adela Hladka [aut] ), Josh Gilbert [aut]
Maintainer: Sebastien Beland <sebastien.beland@umontreal.ca>

Diff between difR versions 6.0.0 dated 2025-05-26 and 6.1.0 dated 2025-11-29

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Package anticlust updated to version 0.8.13 with previous version 0.8.12 dated 2025-10-31

Title: Subset Partitioning via Anticlustering
Description: The method of anticlustering partitions a pool of elements into groups (i.e., anticlusters) with the goal of maximizing between-group similarity or within-group heterogeneity. The anticlustering approach thereby reverses the logic of cluster analysis that strives for high within-group homogeneity and clear separation between groups. Computationally, anticlustering is accomplished by maximizing instead of minimizing a clustering objective function, such as the intra-cluster variance (used in k-means clustering) or the sum of pairwise distances within clusters. The main function anticlustering() gives access to optimal and heuristic anticlustering methods described in Papenberg and Klau (2021; <doi:10.1037/met0000301>), Brusco et al. (2020; <doi:10.1111/bmsp.12186>), Papenberg (2024; <doi:10.1111/bmsp.12315>), Papenberg, Wang, et al. (2025; <doi:10.1016/j.crmeth.2025.101137>), Papenberg, Breuer, et al. (2025; <doi:10.1017/psy.2025.10052>), and Yang et al. [...truncated...]
Author: Martin Papenberg [aut, cre] , Meik Michalke [ctb] , Gunnar W. Klau [ths], Juliane V. Nagel [ctb] , Martin Breuer [ctb] , Marie L. Schaper [ctb] , Max Diekhoff [ctb] , Hannah Hengelbrock [ctb]
Maintainer: Martin Papenberg <martin.papenberg@hhu.de>

Diff between anticlust versions 0.8.12 dated 2025-10-31 and 0.8.13 dated 2025-11-29

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Package logKDE updated to version 0.3.3 with previous version 0.3.2 dated 2018-08-09

Title: Computing Log-Transformed Kernel Density Estimates for Positive Data
Description: Computes log-transformed kernel density estimates for positive data using a variety of kernels. It follows the methods described in Jones, Nguyen and McLachlan (2018) <doi:10.21105/joss.00870>.
Author: Hien D. Nguyen [aut], Andrew T. Jones [aut], Geoffrey J. McLachlan [aut], Andrew Thomas Jones [cre]
Maintainer: Andrew Thomas Jones <andrewthomasjones@gmail.com>

Diff between logKDE versions 0.3.2 dated 2018-08-09 and 0.3.3 dated 2025-11-29

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Fri, 28 Nov 2025

Package econdataverse updated to version 0.1.1 with previous version 0.1.0 dated 2025-09-10

Title: Easily Load and Install the 'EconDataverse'
Description: The 'EconDataverse' is a universe of open-source packages to work seamlessly with economic data. This package is designed to make it easy to install and load multiple 'EconDataverse' packages in a single step. Learn more about the 'EconDataverse' at <https://www.econdataverse.org>.
Author: Christoph Scheuch [aut, cre, cph]
Maintainer: Christoph Scheuch <christoph@tidy-intelligence.com>

Diff between econdataverse versions 0.1.0 dated 2025-09-10 and 0.1.1 dated 2025-11-28

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Package salty updated to version 0.1.2 with previous version 0.1.1 dated 2024-08-31

Title: Turn Clean Data into Messy Data
Description: Take real or simulated data and salt it with errors commonly found in the wild, such as pseudo-OCR errors, Unicode problems, numeric fields with nonsensical punctuation, bad dates, etc.
Author: Matthew Lincoln [aut, cre]
Maintainer: Matthew Lincoln <matthew.d.lincoln@gmail.com>

Diff between salty versions 0.1.1 dated 2024-08-31 and 0.1.2 dated 2025-11-28

 DESCRIPTION      |   11 ++++++-----
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 5 files changed, 25 insertions(+), 20 deletions(-)

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Package pointblank updated to version 0.12.3 with previous version 0.12.2 dated 2024-10-22

Title: Data Validation and Organization of Metadata for Local and Remote Tables
Description: Validate data in data frames, 'tibble' objects, 'Spark' 'DataFrames', and database tables. Validation pipelines can be made using easily-readable, consecutive validation steps. Upon execution of the validation plan, several reporting options are available. User-defined thresholds for failure rates allow for the determination of appropriate reporting actions. Many other workflows are available including an information management workflow, where the aim is to record, collect, and generate useful information on data tables.
Author: Richard Iannone [aut, cre] , Mauricio Vargas [aut] , June Choe [aut] , Olivier Roy [ctb]
Maintainer: Richard Iannone <rich@posit.co>

Diff between pointblank versions 0.12.2 dated 2024-10-22 and 0.12.3 dated 2025-11-28

 pointblank-0.12.2/pointblank/tests/testthat/test-action_levels.R                 |only
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 pointblank-0.12.3/pointblank/DESCRIPTION                                         |   33 
 pointblank-0.12.3/pointblank/LICENSE                                             |    2 
 pointblank-0.12.3/pointblank/MD5                                                 |  372 +-
 pointblank-0.12.3/pointblank/NEWS.md                                             |   40 
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 pointblank-0.12.3/pointblank/R/all_passed.R                                      |   92 
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 pointblank-0.12.3/pointblank/R/get_agent_report.R                                |  814 ++---
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 pointblank-0.12.3/pointblank/R/info_add.R                                        |  776 ++---
 pointblank-0.12.3/pointblank/R/interrogate.R                                     | 1415 +++++-----
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 pointblank-0.12.3/pointblank/R/object_ops.R                                      |  494 +--
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 pointblank-0.12.3/pointblank/R/write_testthat_file.R                             |  328 +-
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 193 files changed, 12560 insertions(+), 12358 deletions(-)

More information about pointblank at CRAN
Permanent link

Package nlmixr2est updated to version 5.0.2 with previous version 4.1.1 dated 2025-10-09

Title: Nonlinear Mixed Effects Models in Population PK/PD, Estimation Routines
Description: Fit and compare nonlinear mixed-effects models in differential equations with flexible dosing information commonly seen in pharmacokinetics and pharmacodynamics (Almquist, Leander, and Jirstrand 2015 <doi:10.1007/s10928-015-9409-1>). Differential equation solving is by compiled C code provided in the 'rxode2' package (Wang, Hallow, and James 2015 <doi:10.1002/psp4.12052>).
Author: Matthew Fidler [aut, cre] , Yuan Xiong [aut], Rik Schoemaker [aut] , Justin Wilkins [aut] , Wenping Wang [aut], Robert Leary [ctb], Mason McComb [ctb] , Vipul Mann [aut], Mirjam Trame [ctb], Mahmoud Abdelwahab [ctb], Teun Post [ctb], Richard Hooijmai [...truncated...]
Maintainer: Matthew Fidler <matthew.fidler@gmail.com>

Diff between nlmixr2est versions 4.1.1 dated 2025-10-09 and 5.0.2 dated 2025-11-28

 nlmixr2est-4.1.1/nlmixr2est/tests/testthat/datos_pac.qs          |only
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 nlmixr2est-5.0.2/nlmixr2est/tests/testthat/test-focei-cens.R     |  249 +++++-----
 nlmixr2est-5.0.2/nlmixr2est/tests/testthat/test-focei-wang2007.R |    2 
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 nlmixr2est-5.0.2/nlmixr2est/tests/testthat/test-restart.R        |    5 
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More information about nlmixr2est at CRAN
Permanent link

Package GCPBayes updated to version 4.3.0 with previous version 4.2.0 dated 2024-03-14

Title: Bayesian Meta-Analysis of Pleiotropic Effects Using Group Structure
Description: Run a Gibbs sampler for a multivariate Bayesian sparse group selection model with Dirac, continuous and hierarchical spike prior for detecting pleiotropy on the traits. This package is designed for summary statistics containing estimated regression coefficients and its estimated covariance matrix. The methodology is available from: Baghfalaki, T., Sugier, P. E., Truong, T., Pettitt, A. N., Mengersen, K., & Liquet, B. (2021) <doi:10.1002/sim.8855>.
Author: Yazdan Asgari [aut, cre], Taban Baghfalaki [aut], Benoit Liquet [aut], Pierre-Emmanuel Sugier [aut], Mohammed Sedki [aut], Therese Truong [aut]
Maintainer: Yazdan Asgari <yazdan.asgari@inserm.fr>

Diff between GCPBayes versions 4.2.0 dated 2024-03-14 and 4.3.0 dated 2025-11-28

 DESCRIPTION                          |   10 ++++-----
 MD5                                  |   36 +++++++++++++++++------------------
 NAMESPACE                            |   14 ++++---------
 NEWS.md                              |    7 ++++++
 R/CS.R                               |   14 ++++++++++---
 R/DS.R                               |   12 +++++++++--
 R/GCPBayes.R                         |    2 +
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 man/CS.Rd                            |    4 +--
 man/DS.Rd                            |    3 +-
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Package ife updated to version 0.2.1 with previous version 0.2.0 dated 2025-08-18

Title: Autodiff for Influence Function Based Estimates
Description: Implements an S7 class for estimates based on influence functions, with forward mode automatic differentiation defined for standard arithmetic operations.
Author: Nicholas Williams [aut, cre, cph]
Maintainer: Nicholas Williams <ntwilliams.personal@gmail.com>

Diff between ife versions 0.2.0 dated 2025-08-18 and 0.2.1 dated 2025-11-28

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Package bsub updated to version 2.0.6 with previous version 1.1.0 dated 2021-07-01

Title: Submitter and Monitor of the 'LSF Cluster'
Description: It submits R code/R scripts/shell commands to 'LSF cluster' (<https://en.wikipedia.org/wiki/Platform_LSF>, the 'bsub' system) without leaving R. There is also an interactive 'shiny' application for monitoring job status.
Author: Zuguang Gu [aut, cre]
Maintainer: Zuguang Gu <z.gu@dkfz.de>

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Package tardis updated to version 0.1.5 with previous version 0.1.4 dated 2022-11-18

Title: Text Analysis with Rules and Dictionaries for Inferring Sentiment
Description: Measure text's sentiment with dictionaries and simple rules covering negations and modifiers. User-supplied dictionaries are supported, including Unicode emojis and multi-word tokens, so this package can also be used to study constructs beyond sentiment.
Author: Christopher Belanger [aut, cre, cph]
Maintainer: Christopher Belanger <christopher.a.belanger@gmail.com>

Diff between tardis versions 0.1.4 dated 2022-11-18 and 0.1.5 dated 2025-11-28

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Package LightLogR updated to version 0.10.0 with previous version 0.9.2 dated 2025-06-10

Title: Process Data from Wearable Light Loggers and Optical Radiation Dosimeters
Description: Import, processing, validation, and visualization of personal light exposure measurement data from wearable devices. The package implements features such as the import of data and metadata files, conversion of common file formats, validation of light logging data, verification of crucial metadata, calculation of common parameters, and semi-automated analysis and visualization.
Author: Johannes Zauner [aut, cre] , Manuel Spitschan [aut] , Steffen Hartmeyer [aut] , European Partnership on Metrology [fnd] has received funding from the European Partnership on Metrology, co-financed by the European Union's Horizon Europe Research and [...truncated...]
Maintainer: Johannes Zauner <johannes.zauner@tum.de>

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Package GlobalOptions updated to version 0.1.3 with previous version 0.1.2 dated 2020-06-10

Title: Generate Functions to Get or Set Global Options
Description: It provides more configurations on the option values such as validation and filtering on the values, making options invisible or private.
Author: Zuguang Gu [aut, cre]
Maintainer: Zuguang Gu <z.gu@dkfz.de>

Diff between GlobalOptions versions 0.1.2 dated 2020-06-10 and 0.1.3 dated 2025-11-28

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Package GetoptLong updated to version 1.1.0 with previous version 1.0.5 dated 2020-12-15

Title: Parsing Command-Line Arguments and Simple Variable Interpolation
Description: This is a command-line argument parser which wraps the powerful Perl module Getopt::Long and with some adaptations for easier use in R. It also provides a simple way for variable interpolation in R.
Author: Zuguang Gu [aut, cre]
Maintainer: Zuguang Gu <z.gu@dkfz.de>

Diff between GetoptLong versions 1.0.5 dated 2020-12-15 and 1.1.0 dated 2025-11-28

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Package E2E updated to version 0.1.1 with previous version 0.1.0 dated 2025-09-04

Title: Ensemble Learning Framework for Diagnostic and Prognostic Modeling
Description: Provides a framework to build and evaluate diagnosis or prognosis models using stacking, voting, and bagging ensemble techniques with various base learners. The package also includes tools for visualization and interpretation of models. The development version of the package is available on 'GitHub' at <https://github.com/xiaojie0519/E2E>. The methods are based on the foundational work of Breiman (1996) <doi:10.1007/BF00058655> on bagging and Wolpert (1992) <doi:10.1016/S0893-6080(05)80023-1> on stacking.
Author: Shanjie Luan [aut, cre]
Maintainer: Shanjie Luan <Luan20050519@163.com>

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Package BioTIMEr updated to version 0.3.0 with previous version 0.2.6 dated 2025-10-15

Title: Tools to Use and Explore the 'BioTIME' Database
Description: The 'BioTIME' database was first published in 2018 and inspired ideas, questions, project and research article. To make it even more accessible, an R package was created. The 'BioTIMEr' package provides tools designed to interact with the 'BioTIME' database. The functions provided include the 'BioTIME' recommended methods for preparing (gridding and rarefaction) time series data, a selection of standard biodiversity metrics (including species richness, numerical abundance and exponential Shannon) alongside examples on how to display change over time. It also includes a sample subset of both the query and meta data, the full versions of which are freely available on the 'BioTIME' website <https://biotime.st-andrews.ac.uk/home.php>.
Author: Alban Sagouis [aut, cre] , Faye Moyes [aut] , Ines S. Martins [aut, rev] , Shane A. Blowes [ctb] , Viviana Brambilla [ctb] , Cher F. Y. Chow [ctb] , Ada Fontrodona-Eslava [ctb] , Laura Antao [ctb, rev] , Jonathan M. Chase [fnd] , Maria Dornelas [fnd, [...truncated...]
Maintainer: Alban Sagouis <alban.sagouis@idiv.de>

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Package vroom updated to version 1.6.7 with previous version 1.6.6 dated 2025-09-19

Title: Read and Write Rectangular Text Data Quickly
Description: The goal of 'vroom' is to read and write data (like 'csv', 'tsv' and 'fwf') quickly. When reading it uses a quick initial indexing step, then reads the values lazily , so only the data you actually use needs to be read. The writer formats the data in parallel and writes to disk asynchronously from formatting.
Author: Jim Hester [aut] , Hadley Wickham [aut] , Jennifer Bryan [aut, cre] , Shelby Bearrows [ctb], https://github.com/mandreyel/ [cph] , Jukka Jylaenki [cph] , Mikkel Joergensen [cph] , Posit Software, PBC [cph, fnd]
Maintainer: Jennifer Bryan <jenny@posit.co>

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Package DDD updated to version 5.2.4 with previous version 5.2.2 dated 2023-07-10

Title: Diversity-Dependent Diversification
Description: Implements maximum likelihood and bootstrap methods based on the diversity-dependent birth-death process to test whether speciation or extinction are diversity-dependent, under various models including various types of key innovations. See Etienne et al. 2012, Proc. Roy. Soc. B 279: 1300-1309, <DOI:10.1098/rspb.2011.1439>, Etienne & Haegeman 2012, Am. Nat. 180: E75-E89, <DOI:10.1086/667574>, Etienne et al. 2016. Meth. Ecol. Evol. 7: 1092-1099, <DOI:10.1111/2041-210X.12565> and Laudanno et al. 2021. Syst. Biol. 70: 389–407, <DOI:10.1093/sysbio/syaa048>. Also contains functions to simulate the diversity-dependent process.
Author: Rampal S. Etienne [aut, cre] , Bart Haegeman [aut] , Hanno Hildenbrandt [ctb] , Giovanni Laudanno [ctb]
Maintainer: Rampal S. Etienne <r.s.etienne@rug.nl>

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Package box updated to version 1.2.1 with previous version 1.2.0 dated 2024-02-06

Title: Write Reusable, Composable and Modular R Code
Description: A modern module system for R. Organise code into hierarchical, composable, reusable modules, and use it effortlessly across projects via a flexible, declarative dependency loading syntax.
Author: Konrad Rudolph [aut, cre] , Michael Schubert [ctb]
Maintainer: Konrad Rudolph <konrad.rudolph@gmail.com>

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Package shipunov (with last version 1.17.1) was removed from CRAN

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

2023-02-05 1.17.1
2022-02-26 1.17
2021-08-22 1.16
2021-06-26 1.15
2021-03-17 1.14
2021-01-04 1.13
2020-10-19 1.12
2020-07-23 1.11
2020-07-10 1.10
2020-07-01 1.9
2020-06-02 1.8
2020-03-18 1.7
2020-03-04 1.6
2020-02-21 1.5
2019-12-06 1.4
2019-09-18 1.3
2019-06-12 1.2
2019-05-06 1.1
2019-04-01 1.0

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Package yaml updated to version 2.3.11 with previous version 2.3.10 dated 2024-07-26

Title: Methods to Convert R Data to YAML and Back
Description: Implements the 'libyaml' 'YAML' 1.1 parser and emitter (<https://pyyaml.org/wiki/LibYAML>) for R.
Author: Shawn Garbett [cre, ctb] , Jeremy Stephens [aut, ctb], Kirill Simonov [aut], Yihui Xie [ctb] , Zhuoer Dong [ctb], Hadley Wickham [ctb] , Jeffrey Horner [ctb], reikoch [ctb], Will Beasley [ctb] , Brendan O'Connor [ctb], Michael Quinn [ctb], Charlie Ga [...truncated...]
Maintainer: Shawn Garbett <shawn.garbett@vumc.org>

Diff between yaml versions 2.3.10 dated 2024-07-26 and 2.3.11 dated 2025-11-28

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Package xega updated to version 0.9.0.18 with previous version 0.9.0.17 dated 2025-08-22

Title: Extended Evolutionary and Genetic Algorithms
Description: Implementation of a scalable, highly configurable, and e(x)tended architecture for (e)volutionary and (g)enetic (a)lgorithms. Multiple representations (binary, real-coded, permutation, and derivation-tree), a rich collection of genetic operators, as well as an extended processing pipeline are provided for genetic algorithms (Goldberg, D. E. (1989, ISBN:0-201-15767-5)), differential evolution (Price, Kenneth V., Storn, Rainer M. and Lampinen, Jouni A. (2005) <doi:10.1007/3-540-31306-0>), simulated annealing (Aarts, E., and Korst, J. (1989, ISBN:0-471-92146-7)), grammar-based genetic programming (Geyer-Schulz (1997, ISBN:978-3-7908-0830-X)), grammatical evolution (Ryan, C., O'Neill, M., and Collins, J. J. (2018) <doi:10.1007/978-3-319-78717-6>), and grammatical differential evolution (O'Neill, M. and Brabazon, A. (2006) in Arabinia, H. (2006, ISBN:978-193-241596-3). All algorithms reuse basic adaptive mechanisms for performance optimization. For xega's architecture, see Geyer [...truncated...]
Author: Andreas Geyer-Schulz [aut, cre]
Maintainer: Andreas Geyer-Schulz <Andreas.Geyer-Schulz@kit.edu>

Diff between xega versions 0.9.0.17 dated 2025-08-22 and 0.9.0.18 dated 2025-11-28

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Package udpipe updated to version 0.8.15 with previous version 0.8.13 dated 2025-11-26

Title: Tokenization, Parts of Speech Tagging, Lemmatization and Dependency Parsing with the 'UDPipe' 'NLP' Toolkit
Description: This natural language processing toolkit provides language-agnostic 'tokenization', 'parts of speech tagging', 'lemmatization' and 'dependency parsing' of raw text. Next to text parsing, the package also allows you to train annotation models based on data of 'treebanks' in 'CoNLL-U' format as provided at <https://universaldependencies.org/format.html>. The techniques are explained in detail in the paper: 'Tokenizing, POS Tagging, Lemmatizing and Parsing UD 2.0 with UDPipe', available at <doi:10.18653/v1/K17-3009>. The toolkit also contains functionalities for commonly used data manipulations on texts which are enriched with the output of the parser. Namely functionalities and algorithms for collocations, token co-occurrence, document term matrix handling, term frequency inverse document frequency calculations, information retrieval metrics (Okapi BM25), handling of multi-word expressions, keyword detection (Rapid Automatic Keyword Extraction, noun phrase extraction, syntact [...truncated...]
Author: Jan Wijffels [aut, cre, cph] , BNOSAC [cph] , Institute of Formal and Applied Linguistics, Faculty of Mathematics and Physics, Charles University in Prague, Czech Republic [cph] , Milan Straka [aut, cph] , Jana Strakova [ctb, cph]
Maintainer: Jan Wijffels <jwijffels@bnosac.be>

Diff between udpipe versions 0.8.13 dated 2025-11-26 and 0.8.15 dated 2025-11-28

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Package SVEMnet updated to version 3.1.4 with previous version 3.1.2 dated 2025-11-24

Title: Self-Validated Ensemble Models with Lasso and Relaxed Elastic Net Regression
Description: Tools for fitting self-validated ensemble models (SVEM; Lemkus et al. (2021) <doi:10.1016/j.chemolab.2021.104439>) in small-sample design-of-experiments and related workflows, using elastic net and relaxed elastic net regression via 'glmnet' (Friedman et al. (2010) <doi:10.18637/jss.v033.i01>). Fractional random-weight bootstraps with anti-correlated validation copies are used to tune penalty paths by validation-weighted AIC/BIC. Supports Gaussian and binomial responses, deterministic expansion helpers for shared factor spaces, prediction with bootstrap uncertainty, and a random-search optimizer that respects mixture constraints and combines multiple responses via desirability functions. Also includes a permutation-based whole-model test for Gaussian SVEM fits (Karl (2024) <doi:10.1016/j.chemolab.2024.105122>). Package code was drafted with assistance from generative AI tools.
Author: Andrew T. Karl [cre, aut]
Maintainer: Andrew T. Karl <akarl@asu.edu>

Diff between SVEMnet versions 3.1.2 dated 2025-11-24 and 3.1.4 dated 2025-11-28

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Package sumR readmission to version 0.4.16 with previous version 0.4.15 dated 2023-11-28

Title: Approximate Summation of Series
Description: Application of theoretical results which ensure that the summation of an infinite discrete series is within an arbitrary margin of error of its true value. The C code under the hood is shared through header files to allow users to sum their own low level functions as well. Based on the paper by Braden (1992) <doi: 10.2307/2324995>.
Author: Guido A. Moreira [cre, aut] , Luiz Max Carvalho [ctb]
Maintainer: Guido A. Moreira <guidoalber@gmail.com>

This is a re-admission after prior archival of version 0.4.15 dated 2023-11-28

Diff between sumR versions 0.4.15 dated 2023-11-28 and 0.4.16 dated 2025-11-28

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Package SchoolDataIT updated to version 0.2.10 with previous version 0.2.8 dated 2025-10-02

Title: Retrieve, Harmonise and Map Open Data Regarding the Italian School System
Description: Compiles and displays the available data sets regarding the Italian school system, with a focus on the infrastructural aspects. Input datasets are downloaded from the web, with the aim of updating everything to real time. The functions are divided in four main modules, namely 'Get', to scrape raw data from the web 'Util', various utilities needed to process raw data 'Group', to aggregate data at the municipality or province level 'Map', to visualize the output datasets.
Author: Leonardo Cefalo [aut, cre] , Alessio Pollice [ctb, ths] , Paolo Maranzano [ctb]
Maintainer: Leonardo Cefalo <leonardo.cefalo@uniba.it>

Diff between SchoolDataIT versions 0.2.8 dated 2025-10-02 and 0.2.10 dated 2025-11-28

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Package predictsr updated to version 0.2.0 with previous version 0.1.1 dated 2025-07-23

Title: Access the 'PREDICTS' Biodiversity Database
Description: Fetches the 'PREDICTS' database and relevant metadata from the Data Portal at the Natural History Museum, London <https://data.nhm.ac.uk>. Data were collated from over 400 existing spatial comparisons of local-scale biodiversity exposed to different intensities and types of anthropogenic pressures, from sites around the world. These data are described in Hudson et al. (2013) <doi:10.1002/ece3.2579>.
Author: Connor Duffin [aut, cre], The Trustees of The Natural History Museum, London [cph]
Maintainer: Connor Duffin <connor.p.duffin@gmail.com>

Diff between predictsr versions 0.1.1 dated 2025-07-23 and 0.2.0 dated 2025-11-28

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Package NNS updated to version 11.6.3 with previous version 11.6.2 dated 2025-10-04

Title: Nonlinear Nonparametric Statistics
Description: NNS (Nonlinear Nonparametric Statistics) leverages partial moments – the fundamental elements of variance that asymptotically approximate the area under f(x) – to provide a robust foundation for nonlinear analysis while maintaining linear equivalences. NNS delivers a comprehensive suite of advanced statistical techniques, including: Numerical integration, Numerical differentiation, Clustering, Correlation, Dependence, Causal analysis, ANOVA, Regression, Classification, Seasonality, Autoregressive modeling, Normalization, Stochastic dominance and Advanced Monte Carlo sampling. All routines based on: Viole, F. and Nawrocki, D. (2013), Nonlinear Nonparametric Statistics: Using Partial Moments (ISBN: 1490523995).
Author: Fred Viole [aut, cre], Roberto Spadim [ctb]
Maintainer: Fred Viole <ovvo.financial.systems@gmail.com>

Diff between NNS versions 11.6.2 dated 2025-10-04 and 11.6.3 dated 2025-11-28

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Package MultiscaleDTM updated to version 1.0.1 with previous version 1.0 dated 2025-05-20

Title: Multi-Scale Geomorphometric Terrain Attributes
Description: Calculates multi-scale geomorphometric terrain attributes from regularly gridded digital terrain models using a variable focal windows size (Ilich et al. (2023) <doi:10.1111/tgis.13067>).
Author: Alexander Ilich [aut, cre] , Vincent Lecours [aut], Benjamin Misiuk [aut], Steven Murawski [aut]
Maintainer: Alexander Ilich <ailich@usf.edu>

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Package mazealls updated to version 0.2.1 with previous version 0.2.0 dated 2017-12-12

Title: Generate Recursive Mazes
Description: Supports the generation of parallelogram, equilateral triangle, regular hexagon, isosceles trapezoid, Koch snowflake, 'hexaflake', Sierpinski triangle, Sierpinski carpet and Sierpinski trapezoid mazes via 'TurtleGraphics'. Mazes are generated by the recursive method: the domain is divided into sub-domains in which mazes are generated, then dividing lines with holes are drawn between them, see J. Buck, Recursive Division, <http://weblog.jamisbuck.org/2011/1/12/maze-generation-recursive-division-algorithm>.
Author: Steven E. Pav [aut, cre]
Maintainer: Steven E. Pav <shabbychef@gmail.com>

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Package hmer updated to version 1.6.2 with previous version 1.6.0 dated 2024-05-31

Title: History Matching and Emulation Package
Description: A set of objects and functions for Bayes Linear emulation and history matching. Core functionality includes automated training of emulators to data, diagnostic functions to ensure suitability, and a variety of proposal methods for generating 'waves' of points. For details on the mathematical background, there are many papers available on the topic (see references attached to function help files or the below references); for details of the functions in this package, consult the manual or help files. Iskauskas, A, et al. (2024) <doi:10.18637/jss.v109.i10>. Bower, R.G., Goldstein, M., and Vernon, I. (2010) <doi:10.1214/10-BA524>. Craig, P.S., Goldstein, M., Seheult, A.H., and Smith, J.A. (1997) <doi:10.1007/978-1-4612-2290-3_2>.
Author: Andrew Iskauskas [aut, cre] , TJ McKinley [aut]
Maintainer: Andrew Iskauskas <andrew.iskauskas@durham.ac.uk>

Diff between hmer versions 1.6.0 dated 2024-05-31 and 1.6.2 dated 2025-11-28

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Package gumbel updated to version 1.10-4 with previous version 1.10-3 dated 2024-10-17

Title: The Gumbel-Hougaard Copula
Description: Provides probability functions (cumulative distribution and density functions), simulation function (Gumbel copula multivariate simulation) and estimation functions (Maximum Likelihood Estimation, Inference For Margins, Moment Based Estimation and Canonical Maximum Likelihood).
Author: Christophe Dutang [aut, cre] , Anne-Lise Caillat [ctb], Veronique Larrieu [ctb], Triet Nguyen [ctb]
Maintainer: Christophe Dutang <dutangc@gmail.com>

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Package estar updated to version 1.0-1 with previous version 1.0-0 dated 2025-11-21

Title: Ecological Stability Metrics
Description: Standardises and facilitates the use of eleven established stability properties that have been used to assess systems’ responses to press or pulse disturbances at different ecological levels (e.g. population, community). There are two sets of functions. The first set corresponds to functions that measure stability at any level of organisation, from individual to community and can be applied to a time series of a system’s state variables (e.g., body mass, population abundance, or species diversity). The properties included in this set are: invariability, resistance, extent and rate of recovery, persistence, and overall ecological vulnerability. The second set of functions can be applied to Jacobian matrices. The functions in this set measure the stability of a community at short and long time scales. In the short term, the community’s response is measured by maximal amplification, reactivity and initial resilience (i.e. initial rate of return to equilibrium). In the long term, stability [...truncated...]
Author: Ludmilla Figueiredo [aut, cre] , Viktoriia Radchuk [aut] , Cedric Scherer [ctb]
Maintainer: Ludmilla Figueiredo <ludmilla.figueiredo@protonmail.com>

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Package cheapr updated to version 1.4.0 with previous version 1.3.2 dated 2025-07-23

Title: Simple Functions to Save Time and Memory
Description: Fast and memory-efficient (or 'cheap') tools to facilitate efficient programming, saving time and memory. It aims to provide 'cheaper' alternatives to common base R functions, as well as some additional functions.
Author: Nick Christofides [aut, cre]
Maintainer: Nick Christofides <nick.christofides.r@gmail.com>

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Package banR updated to version 0.2.4 with previous version 0.2.3 dated 2025-11-24

Title: Client for the 'BAN' API
Description: A client for the 'Base Adresses Nationale' ('BAN') API, which allows to (batch) geocode and reverse-geocode French addresses. For more information about the 'BAN' and its API, please see <https://adresse.data.gouv.fr/outils/api-doc/adresse>.
Author: Joel Gombin [cre, aut], Paul-Antoine Chevalier [aut]
Maintainer: Joel Gombin <joel.gombin@gmail.com>

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Package ADSIHT readmission to version 0.2.1 with previous version 0.2.0 dated 2025-04-17

Title: Adaptive Double Sparse Iterative Hard Thresholding
Description: Solving high-dimensional double sparse linear regression via an iterative hard thresholding algorithm. Furthermore, the method is extended to jointly estimate multiple graphical models. For more details, please see <https://www.jmlr.org/papers/v25/23-0653.html> and <doi:10.48550/arXiv.2503.18722>.
Author: Yanhang Zhang [aut, cre], Zhifan Li [aut], Jianxin Yin [aut], Shixiang Liu [aut], Lingren Kong [aut]
Maintainer: Yanhang Zhang <zhangyh98@tsinghua.edu.cn>

This is a re-admission after prior archival of version 0.2.0 dated 2025-04-17

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Package VBel updated to version 1.1.7 with previous version 1.1.6 dated 2025-10-26

Title: Variational Bayes for Fast and Accurate Empirical Likelihood Inference
Description: Computes the Gaussian variational approximation of the Bayesian empirical likelihood posterior. This is an implementation of the function found in Yu, W., & Bondell, H. D. (2023) <doi:10.1080/01621459.2023.2169701>.
Author: Weichang Yu [aut, cre] , Jeremy Lim [aut]
Maintainer: Weichang Yu <weichang.yu@unimelb.edu.au>

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Package RLRsim updated to version 3.1-9 with previous version 3.1-8 dated 2022-03-16

Title: Exact (Restricted) Likelihood Ratio Tests for Mixed and Additive Models
Description: Rapid, simulation-based exact (restricted) likelihood ratio tests for testing the presence of variance components/nonparametric terms for models fit with nlme::lme(),lme4::lmer(), lmerTest::lmer(), gamm4::gamm4() and mgcv::gamm().
Author: Fabian Scheipl [aut, cre] , Ben Bolker [ctb]
Maintainer: Fabian Scheipl <fabian.scheipl@stat.uni-muenchen.de>

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Package rcdo updated to version 0.3.2 with previous version 0.3.1 dated 2025-11-24

Title: Wrapper of 'CDO' Operators
Description: Provides a translation layer between 'R' and 'CDO' operators. Each operator is it's own function with documentation. Nested or piped functions will be translated into 'CDO' chains.
Author: Elio Campitelli [cre, aut, cph] , MPI fuer Meteorologie [cph]
Maintainer: Elio Campitelli <eliocampitelli@gmail.com>

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Package injurytools updated to version 2.0.0 with previous version 1.0.3 dated 2023-11-14

Title: A Toolkit for Sports Injury and Illness Data Analysis
Description: Sports Injury Data analysis aims to identify and describe the magnitude of the injury problem, and to gain more insights (e.g. determine potential risk factors) by statistical modelling approaches. The 'injurytools' package provides standardized routines and utilities that simplify such analyses. It offers functions for data preparation, informative visualizations and descriptive and model-based analyses.
Author: Lore Zumeta Olaskoaga [aut, cre] , Dae-Jin Lee [ctb]
Maintainer: Lore Zumeta Olaskoaga <lorezumeta@gmail.com>

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Package iglm updated to version 1.1 with previous version 1.0 dated 2025-11-25

Title: Regression under Network Interference
Description: An implementation of generalized linear models (GLMs) for studying relationships among attributes in connected populations, where responses of connected units can be dependent, as introduced by Fritz et al. (2025) <doi:10.1080/01621459.2025.2565851>. 'igml' extends GLMs for independent responses to dependent responses and can be used for studying spillover in connected populations and other network-mediated phenomena.
Author: Cornelius Fritz [aut, cre], Michael Schweinberger [aut]
Maintainer: Cornelius Fritz <corneliusfritz2010@gmail.com>

Diff between iglm versions 1.0 dated 2025-11-25 and 1.1 dated 2025-11-28

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Package fcci updated to version 1.0.2 with previous version 1.0.1 dated 2022-01-07

Title: Feldman-Cousins Confidence Intervals
Description: Provides support for building Feldman-Cousins confidence intervals [G. J. Feldman and R. D. Cousins (1998) <doi:10.1103/PhysRevD.57.3873>].
Author: Valerio Gherardi [aut, cre]
Maintainer: Valerio Gherardi <vgherard840@gmail.com>

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Package editrules updated to version 2.9.6 with previous version 2.9.5 dated 2024-05-04

Title: Parsing, Applying, and Manipulating Data Cleaning Rules
Description: Please note: active development has moved to packages 'validate' and 'errorlocate'. Facilitates reading and manipulating (multivariate) data restrictions (edit rules) on numerical and categorical data. Rules can be defined with common R syntax and parsed to an internal (matrix-like format). Rules can be manipulated with variable elimination and value substitution methods, allowing for feasibility checks and more. Data can be tested against the rules and erroneous fields can be found based on Fellegi and Holt's generalized principle. Rules dependencies can be visualized with using the 'igraph' package.
Author: Edwin de Jonge [aut, cre] , Mark van der Loo [aut]
Maintainer: Edwin de Jonge <edwindjonge@gmail.com>

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Package babelmixr2 updated to version 0.1.11 with previous version 0.1.10 dated 2025-10-14

Title: Use 'nlmixr2' to Interact with Open Source and Commercial Software
Description: Run other estimation and simulation software via the 'nlmixr2' (Fidler et al (2019) <doi:10.1002/psp4.12445>) interface including 'PKNCA', 'NONMEM' and 'Monolix'. While not required, you can get/install the 'lixoftConnectors' package in the 'Monolix' installation, as described at the following url <https://monolixsuite.slp-software.com/r-functions/2024R1/installation-and-initialization>. When 'lixoftConnectors' is available, 'Monolix' can be run directly instead of setting up command line usage.
Author: Matthew Fidler [aut, cre] , Bill Denney [aut] , Theodoros Papathanasiou [ctb], Nook Fulloption [ctb]
Maintainer: Matthew Fidler <matthew.fidler@gmail.com>

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Package adklakedata readmission to version 0.6.4 with previous version 0.6.1 dated 2018-02-16

Title: Adirondack Long-Term Lake Data
Description: Package for the access and distribution of long-term lake datasets from lakes in the Adirondack Park, northern New York state. Includes a wide variety of physical, chemical, and biological parameters from 28 lakes. Data are from multiple collection organizations and have been harmonized in both time and space for ease of reuse.
Author: Jeremy Farrell [aut, cre], Luke Winslow [aut], Taylor Leach [aut], Tobi Hahn [aut]
Maintainer: Jeremy Farrell <jeremyfarrell@gmail.com>

This is a re-admission after prior archival of version 0.6.1 dated 2018-02-16

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Package vdg (with last version 1.2.3) was removed from CRAN

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2024-04-23 1.2.3
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Package rlc (with last version 0.5.0) was removed from CRAN

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2020-01-17 0.2.0
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Package rosetta (with last version 0.3.12) was removed from CRAN

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2023-03-05 0.3.12
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Package signatureSurvival (with last version 1.0.0) was removed from CRAN

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Package squat (with last version 0.4.0) was removed from CRAN

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2025-05-20 0.4.0

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Package risk.assessr updated to version 3.0.0 with previous version 2.0.1 dated 2025-08-22

Title: Assessing Package Risk Metrics
Description: A reliable and validated tool that captures detailed risk metrics such as R 'CMD' check, test coverage, traceability matrix, documentation, dependencies, reverse dependencies, suggested dependency analysis, repository data, and enhanced reporting for R packages that are local or stored on remote repositories such as GitHub, CRAN, and Bioconductor.
Author: Edward Gillian [cre, aut] , Hugo Bottois [aut] , Paulin Charliquart [aut], Andre Couturier [aut], Sanofi [cph, fnd]
Maintainer: Edward Gillian <edward.gillian-ext@sanofi.com>

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2014-09-17 1.2
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Package sf updated to version 1.0-23 with previous version 1.0-22 dated 2025-11-10

Title: Simple Features for R
Description: Support for simple feature access, a standardized way to encode and analyze spatial vector data. Binds to 'GDAL' <doi:10.5281/zenodo.5884351> for reading and writing data, to 'GEOS' <doi:10.5281/zenodo.11396894> for geometrical operations, and to 'PROJ' <doi:10.5281/zenodo.5884394> for projection conversions and datum transformations. Uses by default the 's2' package for geometry operations on geodetic (long/lat degree) coordinates.
Author: Edzer Pebesma [aut, cre] , Roger Bivand [ctb] , Etienne Racine [ctb], Michael Sumner [ctb], Ian Cook [ctb], Tim Keitt [ctb], Robin Lovelace [ctb], Hadley Wickham [ctb], Jeroen Ooms [ctb] , Kirill Mueller [ctb], Thomas Lin Pedersen [ctb], Dan Baston [c [...truncated...]
Maintainer: Edzer Pebesma <edzer.pebesma@uni-muenster.de>

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Package read.dbc readmission to version 1.2.0 with previous version 1.0.7 dated 2024-05-08

Title: Read Data Stored in 'DBC' (Compressed 'DBF') Files
Description: Functions for reading and decompressing the 'DBC' (compressed 'DBF') files. Please note that this is the file format used by the Brazilian Ministry of Health ('DATASUS') to publish healthcare datasets. It is not related to the 'FoxPro' or 'CANdb' 'DBC' file formats.
Author: Daniela Petruzalek [aut, cre, cph], Mark Adler [cph, ctb], Pablo Marcondes Fonseca [cph, ctb]
Maintainer: Daniela Petruzalek <daniela.petruzalek@gmail.com>

This is a re-admission after prior archival of version 1.0.7 dated 2024-05-08

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Package narray updated to version 0.5.2 with previous version 0.5.1 dated 2022-10-02

Title: Subset- And Name-Aware Array Utility Functions
Description: Stacking arrays according to dimension names, subset-aware splitting and mapping of functions, intersecting along arbitrary dimensions, converting to and from data.frames, and many other helper functions.
Author: Michael Schubert [aut, cre, cph]
Maintainer: Michael Schubert <mschu.dev@gmail.com>

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Package jskm updated to version 0.5.22 with previous version 0.5.21 dated 2025-10-24

Title: Kaplan-Meier Plot with 'ggplot2'
Description: The function 'jskm()' creates publication quality Kaplan-Meier plot with at risk tables below. 'svyjskm()' provides plot for weighted Kaplan-Meier estimator.
Author: Jinseob Kim [aut, cre] , yoonkyoung Chun [aut], Zarathu [cph, fnd], sungho Choi [aut], Mingu Jee [aut], Wonbin Hahn [aut]
Maintainer: Jinseob Kim <jinseob2kim@gmail.com>

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Package invacost updated to version 1.1-7 with previous version 1.1-6 dated 2024-02-11

Title: Analyse Biological Invasion Costs with the 'InvaCost' Database
Description: Provides an up-to-date version of the 'InvaCost' database (<doi:10.6084/m9.figshare.12668570>) in R, and several functions to analyse the costs of invasive alien species (<doi:10.1111/2041-210X.13929>).
Author: Boris Leroy [cre, aut], Andrew Kramer [aut], Anne-Charlotte Vaissiere [ctb], Christophe Diagne [ctb]
Maintainer: Boris Leroy <leroy.boris@gmail.com>

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Package cppRouting updated to version 3.2 with previous version 3.1 dated 2022-12-01

Title: Algorithms for Routing and Solving the Traffic Assignment Problem
Description: Calculation of distances, shortest paths and isochrones on weighted graphs using several variants of Dijkstra algorithm. Proposed algorithms are unidirectional Dijkstra (Dijkstra, E. W. (1959) <doi:10.1007/BF01386390>), bidirectional Dijkstra (Goldberg, Andrew & Fonseca F. Werneck, Renato (2005) <https://www.cs.princeton.edu/courses/archive/spr06/cos423/Handouts/EPP%20shortest%20path%20algorithms.pdf>), A* search (P. E. Hart, N. J. Nilsson et B. Raphael (1968) <doi:10.1109/TSSC.1968.300136>), new bidirectional A* (Pijls & Post (2009) <https://repub.eur.nl/pub/16100/ei2009-10.pdf>), Contraction hierarchies (R. Geisberger, P. Sanders, D. Schultes and D. Delling (2008) <doi:10.1007/978-3-540-68552-4_24>), PHAST (D. Delling, A.Goldberg, A. Nowatzyk, R. Werneck (2011) <doi:10.1016/j.jpdc.2012.02.007>). Algorithms for solving the traffic assignment problem are All-or-Nothing assignment, Method of Successive Averages, Frank-Wolfe algorithm (M. Fukus [...truncated...]
Author: Vincent Larmet [aut, cre]
Maintainer: Vincent Larmet <larmet.vincent@gmail.com>

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Package TBRDist updated to version 1.0.3 with previous version 1.0.2 dated 2020-09-17

Title: Rearrangement Distances Between Unrooted Phylogenetic Trees
Description: Fast calculation of the Subtree Prune and Regraft (SPR), Tree Bisection and Reconnection (TBR) and Replug distances between unrooted trees, using the algorithms of Whidden and Matsen (2017) <doi:10.48550/arXiv.1511.07529>.
Author: Martin R. Smith [aut, cre, cph] , Chris Whidden [cph]
Maintainer: Martin R. Smith <martin.smith@durham.ac.uk>

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Package rxode2 updated to version 5.0.0 with previous version 4.1.1 dated 2025-10-08

Title: Facilities for Simulating from ODE-Based Models
Description: Facilities for running simulations from ordinary differential equation ('ODE') models, such as pharmacometrics and other compartmental models. A compilation manager translates the ODE model into C, compiles it, and dynamically loads the object code into R for improved computational efficiency. An event table object facilitates the specification of complex dosing regimens (optional) and sampling schedules. NB: The use of this package requires both C and Fortran compilers, for details on their use with R please see Section 6.3, Appendix A, and Appendix D in the "R Administration and Installation" manual. Also the code is mostly released under GPL. The 'VODE' and 'LSODA' are in the public domain. The information is available in the inst/COPYRIGHTS.
Author: Matthew L. Fidler [aut, cre] , Wenping Wang [aut], Alan Hindmarsh [ctb], Arun Srinivasan [ctb], Awad H. Al-Mohy [ctb], Bill Denney [ctb] , Cleve Moler [ctb], David Cooley [ctb], Drew Schmidt [ctb], Ernst Hairer [ctb], Gabriel Staples [ctb], Gerhard W [...truncated...]
Maintainer: Matthew L. Fidler <matthew.fidler@gmail.com>

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Package rflexscan readmission to version 1.2.0 with previous version 1.1.0 dated 2023-03-01

Title: The Flexible Spatial Scan Statistic
Description: Provides functions for detecting spatial clusters using the flexible spatial scan statistic developed by Tango and Takahashi (2005) <doi:10.1186/1476-072X-4-11>. This package implements a wrapper for the 'C' routine used in the 'FleXScan' 3.1.2 <https://sites.google.com/site/flexscansoftware/home> developed by Takahashi, Yokoyama, and Tango. For details, see Otani et al. (2021) <doi:10.18637/jss.v099.i13>.
Author: Takahiro Otani [aut, cre], Kunihiko Takahashi [aut]
Maintainer: Takahiro Otani <t.otani@aichi-cc.jp>

This is a re-admission after prior archival of version 1.1.0 dated 2023-03-01

Diff between rflexscan versions 1.1.0 dated 2023-03-01 and 1.2.0 dated 2025-11-28

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Package GCCfactor updated to version 1.1.2 with previous version 1.1.1 dated 2025-09-12

Title: GCC Estimation of the Multilevel Factor Model
Description: Provides methods for model selection, estimation, inference, and simulation for the multilevel factor model, based on the principal component estimation and generalised canonical correlation approach. Details can be found in "Generalised Canonical Correlation Estimation of the Multilevel Factor Model." Lin and Shin (2025) <doi:10.2139/ssrn.4295429>.
Author: Rui Lin [aut, cre], Yongcheol Shin [aut]
Maintainer: Rui Lin <ruilin1081@gmail.com>

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Package factorEx readmission to version 1.1.0 with previous version 1.0.1 dated 2020-05-11

Title: Design and Analysis for Factorial Experiments
Description: Provides design-based and model-based estimators for the population average marginal component effects in general factorial experiments, including conjoint analysis. The package also implements a series of recommendations offered in de la Cuesta, Egami, and Imai (2022) <doi:10.1017/pan.2020.40>, and Egami and Imai (2019) <doi:10.1080/01621459.2018.1476246>.
Author: Naoki Egami [aut, cre], Brandon de la Cuesta [aut], Kosuke Imai [aut]
Maintainer: Naoki Egami <naoki.egami5@gmail.com>

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Package elfgen readmission to version 2.3.4 with previous version 2.3.3 dated 2022-08-23

Title: Ecological Limit Function Model Generation and Analysis Toolkit
Description: A toolset for generating Ecological Limit Function (ELF) models and evaluating potential species loss resulting from flow change, based on the 'elfgen' framework. ELFs describe the relation between aquatic species richness (fish or benthic macroinvertebrates) and stream size characteristics (streamflow or drainage area). Journal publications are available outlining framework methodology (Kleiner et al. (2020) <doi:10.1111/1752-1688.12876>) and application (Rapp et al. (2020) <doi:10.1111/1752-1688.12877>).
Author: Joseph Kleiner [aut] , Robert Burgholzer [ctb] , Connor Brogan [cre]
Maintainer: Connor Brogan <connor.brogan@deq.virginia.gov>

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Package MMVBVS (with last version 0.8.0) was removed from CRAN

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2019-12-15 0.8.0

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

2025-06-12 1.23.0
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Package skm (with last version 0.1.5.4) was removed from CRAN

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

2017-01-23 0.1.5.4

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Package EstMix (with last version 1.0.1) was removed from CRAN

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

2018-09-13 1.0.1
2018-08-31 1.0

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Package NetworkInference updated to version 1.2.5 with previous version 1.2.4 dated 2019-02-28

Title: Inferring Latent Diffusion Networks
Description: This is an R implementation of the netinf algorithm (Gomez Rodriguez, Leskovec, and Krause, 2010)<doi:10.1145/1835804.1835933>. Given a set of events that spread between a set of nodes the algorithm infers the most likely stable diffusion network that is underlying the diffusion process.
Author: Fridolin Linder [aut, cre], Bruce Desmarais [ctb]
Maintainer: Fridolin Linder <fridolin.linder@gmail.com>

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Package ztpln updated to version 0.1.3 with previous version 0.1.2 dated 2021-10-09

Title: Zero-Truncated Poisson Lognormal Distribution
Description: Functions for obtaining the density, random variates and maximum likelihood estimates of the Zero-truncated Poisson lognormal distribution and their mixture distribution.
Author: Masatoshi Katabuchi [aut, cre, cph]
Maintainer: Masatoshi Katabuchi <mattocci27@gmail.com>

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Package IndonesiAPIs updated to version 0.1.1 with previous version 0.1.0 dated 2025-09-09

Title: Access Indonesian Data via Public APIs and Curated Datasets
Description: Provides functions to access data from public RESTful APIs including 'Nager.Date', 'World Bank API', and 'REST Countries API', retrieving real-time or historical data related to Indonesia, such as holidays, economic indicators, and international demographic and geopolitical indicators. The package also includes a curated collection of open datasets focused on Indonesia, covering topics such as consumer prices, poverty probability, food prices by region, tourism destinations, and minimum wage statistics. The package supports reproducible research and teaching by integrating reliable international APIs and structured datasets from public, academic, and government sources. For more information on the APIs, see: 'Nager.Date' <https://date.nager.at/Api>, 'World Bank API' <https://datahelpdesk.worldbank.org/knowledgebase/articles/889392>, and 'REST Countries API' <https://restcountries.com/>.
Author: Renzo Caceres Rossi [aut, cre]
Maintainer: Renzo Caceres Rossi <arenzocaceresrossi@gmail.com>

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Package terra updated to version 1.8-86 with previous version 1.8-80 dated 2025-11-05

Title: Spatial Data Analysis
Description: Methods for spatial data analysis with vector (points, lines, polygons) and raster (grid) data. Methods for vector data include geometric operations such as intersect and buffer. Raster methods include local, focal, global, zonal and geometric operations. The predict and interpolate methods facilitate the use of regression type (interpolation, machine learning) models for spatial prediction, including with satellite remote sensing data. Processing of very large files is supported. See the manual and tutorials on <https://rspatial.org/> to get started.
Author: Robert J. Hijmans [cre, aut] , Marcia Barbosa [ctb] , Roger Bivand [ctb] , Andrew Brown [ctb] , Michael Chirico [ctb] , Emanuele Cordano [ctb] , Krzysztof Dyba [ctb] , Edzer Pebesma [ctb] , Barry Rowlingson [ctb] , Michael D. Sumner [ctb]
Maintainer: Robert J. Hijmans <r.hijmans@gmail.com>

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Package taxlist updated to version 0.3.5 with previous version 0.3.0 dated 2024-07-03

Title: Handling Taxonomic Lists
Description: Handling taxonomic lists through objects of class 'taxlist'. This package provides functions to import species lists from 'Turboveg' (<https://www.synbiosys.alterra.nl/turboveg/>) and the possibility to create backups from resulting R-objects. Also quick displays are implemented as summary-methods.
Author: Miguel Alvarez [aut, cre] , Zachary Foster [ctb] , Sam Levin [rev], Margaret Siple [rev]
Maintainer: Miguel Alvarez <kamapu78@gmail.com>

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Package spatstat.model updated to version 3.5-0 with previous version 3.4-2 dated 2025-09-28

Title: Parametric Statistical Modelling and Inference for the 'spatstat' Family
Description: Functionality for parametric statistical modelling and inference for spatial data, mainly spatial point patterns, in the 'spatstat' family of packages. (Excludes analysis of spatial data on a linear network, which is covered by the separate package 'spatstat.linnet'.) Supports parametric modelling, formal statistical inference, and model validation. Parametric models include Poisson point processes, Cox point processes, Neyman-Scott cluster processes, Gibbs point processes and determinantal point processes. Models can be fitted to data using maximum likelihood, maximum pseudolikelihood, maximum composite likelihood and the method of minimum contrast. Fitted models can be simulated and predicted. Formal inference includes hypothesis tests (quadrat counting tests, Cressie-Read tests, Clark-Evans test, Berman test, Diggle-Cressie-Loosmore-Ford test, scan test, studentised permutation test, segregation test, ANOVA tests of fitted models, adjusted composite likelihood ratio test, envelope t [...truncated...]
Author: Adrian Baddeley [aut, cre, cph] , Rolf Turner [aut, cph] , Ege Rubak [aut, cph] , Kasper Klitgaard Berthelsen [ctb], Achmad Choiruddin [ctb, cph], Jean-Francois Coeurjolly [ctb], Ottmar Cronie [ctb], Tilman Davies [ctb], Julian Gilbey [ctb], Yongtao [...truncated...]
Maintainer: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>

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Package mmapcharr updated to version 0.3.1 with previous version 0.3.0 dated 2019-02-26

Title: Memory-Map Character Files
Description: Uses memory-mapping to enable the random access of elements of a text file of characters separated by characters as if it were a simple R(cpp) matrix.
Author: Florian Prive [aut, cre]
Maintainer: Florian Prive <florian.prive.21@gmail.com>

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Package decido updated to version 0.4.0 with previous version 0.3.0 dated 2020-05-19

Title: Bindings for 'Mapbox' Ear Cutting Triangulation Library
Description: Provides constrained triangulation of polygons. Ear cutting (or ear clipping) applies constrained triangulation by successively 'cutting' triangles from a polygon defined by path/s. Holes are supported by introducing a bridge segment between polygon paths. This package wraps the 'header-only' library 'earcut.hpp' <https://github.com/mapbox/earcut.hpp> which includes a reference to the method used by Held, M. (2001) <doi:10.1007/s00453-001-0028-4>.
Author: Michael Sumner [aut, cre], Andrew Smith [ctb] , Mapbox [cph] , Mark Padgham [ctb] , David Cooley [ctb]
Maintainer: Michael Sumner <mdsumner@gmail.com>

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Thu, 27 Nov 2025

Package ukbnmr updated to version 3.3.0 with previous version 3.2.0 dated 2024-11-14

Title: Removal of Unwanted Technical Variation from UK Biobank NMR Metabolomics Biomarker Data
Description: A suite of utilities for working with the UK Biobank <https://www.ukbiobank.ac.uk/> Nuclear Magnetic Resonance spectroscopy (NMR) metabolomics data <https://biobank.ndph.ox.ac.uk/showcase/label.cgi?id=220>. Includes functions for extracting biomarkers from decoded UK Biobank field data, removing unwanted technical variation from biomarker concentrations, computing an extended set of lipid, fatty acid, and cholesterol fractions, and for re-deriving composite biomarkers and ratios after adjusting data for unwanted biological variation. For further details on methods see Ritchie SC et al. Sci Data (2023) <doi:10.1038/s41597-023-01949-y>.
Author: Scott C Ritchie [aut, cre]
Maintainer: Scott C Ritchie <sritchie73@gmail.com>

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Package touch updated to version 0.1-7 with previous version 0.1-6 dated 2022-07-08

Title: Tools of Utilization and Cost in Healthcare
Description: R implementation of the software tools developed in the H-CUP (Healthcare Cost and Utilization Project) <https://hcup-us.ahrq.gov> and AHRQ (Agency for Healthcare Research and Quality) <https://www.ahrq.gov>. It currently contains functions for mapping ICD-9 codes to the AHRQ comorbidity measures and translating ICD-9 (resp. ICD-10) codes to ICD-10 (resp. ICD-9) codes based on GEM (General Equivalence Mappings) from CMS (Centers for Medicare and Medicaid Services).
Author: Wenjie Wang [aut, cre] , Yan Li [aut], Jun Yan [aut]
Maintainer: Wenjie Wang <wang@wwenjie.org>

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Package lifecontingencies updated to version 1.4.4 with previous version 1.4.3 dated 2025-09-18

Title: Financial and Actuarial Mathematics for Life Contingencies
Description: Classes and methods that allow the user to manage life table, actuarial tables (also multiple decrements tables). Moreover, functions to easily perform demographic, financial and actuarial mathematics on life contingencies insurances calculations are contained therein. See Spedicato (2013) <doi:10.18637/jss.v055.i10>.
Author: Giorgio Alfredo Spedicato [aut, cre] , Christophe Dutang [ctb] , Reinhold Kainhofer [ctb] , Kevin J Owens [ctb], Ernesto Schirmacher [ctb], Gian Paolo Clemente [ctb] , Ivan Williams [ctb]
Maintainer: Giorgio Alfredo Spedicato <spedicato_giorgio@yahoo.it>

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Package Spower updated to version 0.5.1 with previous version 0.5.0 dated 2025-10-16

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

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Package sentencepiece updated to version 0.2.4 with previous version 0.2.3 dated 2022-11-13

Title: Text Tokenization using Byte Pair Encoding and Unigram Modelling
Description: Unsupervised text tokenizer allowing to perform byte pair encoding and unigram modelling. Wraps the 'sentencepiece' library <https://github.com/google/sentencepiece> which provides a language independent tokenizer to split text in words and smaller subword units. The techniques are explained in the paper "SentencePiece: A simple and language independent subword tokenizer and detokenizer for Neural Text Processing" by Taku Kudo and John Richardson (2018) <doi:10.18653/v1/D18-2012>. Provides as well straightforward access to pretrained byte pair encoding models and subword embeddings trained on Wikipedia using 'word2vec', as described in "BPEmb: Tokenization-free Pre-trained Subword Embeddings in 275 Languages" by Benjamin Heinzerling and Michael Strube (2018) <http://www.lrec-conf.org/proceedings/lrec2018/pdf/1049.pdf>.
Author: Jan Wijffels [aut, cre, cph] , BNOSAC [cph] , Google Inc. [ctb, cph] , The Abseil Authors [ctb, cph] , Google Inc. [ctb, cph] ), Kenton Varda [ctb, cph] ), Sanjay Ghemawat [ctb, cph] ), Jeff Dean [ctb, cph] ), Laszlo Csomor [ctb, cph] ), Wink Sav [...truncated...]
Maintainer: Jan Wijffels <jwijffels@bnosac.be>

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Package image.LineSegmentDetector updated to version 0.1.1 with previous version 0.1.0 dated 2020-07-27

Title: Detect Line Segments in Images
Description: An implementation of the Line Segment Detector on digital images described in the paper: "LSD: A Fast Line Segment Detector with a False Detection Control" by Rafael Grompone von Gioi et al (2012). The algorithm is explained at <doi:10.5201/ipol.2012.gjmr-lsd>.
Author: Jan Wijffels [aut, cre, cph] , BNOSAC [cph] , Rafael Grompone von Gioi [ctb, cph]
Maintainer: Jan Wijffels <jwijffels@bnosac.be>

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Package image.ContourDetector updated to version 0.1.2 with previous version 0.1.1 dated 2021-11-17

Title: Implementation of the Unsupervised Smooth Contour Line Detection for Images
Description: An implementation of the Unsupervised Smooth Contour Detection algorithm for digital images as described in the paper: "Unsupervised Smooth Contour Detection" by Rafael Grompone von Gioi, and Gregory Randall (2016). The algorithm is explained at <doi:10.5201/ipol.2016.175>.
Author: Jan Wijffels [aut, cre, cph] , BNOSAC [cph] , Rafael Grompone von Gioi [ctb, cph] , Gregory Randall [ctb, cph] , Niccolo Marchi [ctb]
Maintainer: Jan Wijffels <jwijffels@bnosac.be>

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Package wav updated to version 0.1.1 with previous version 0.1.0 dated 2022-11-28

Title: Read and Write WAV Files
Description: Efficiently read and write Waveform (WAV) audio files <https://en.wikipedia.org/wiki/WAV>. Support for unsigned 8 bit Pulse-code modulation (PCM), signed 12, 16, 24 and 32 bit PCM and other encodings.
Author: Daniel Falbel [aut, cre, cph], Posit, PBC [cph], David Reid [cph]
Maintainer: Daniel Falbel <daniel@rstudio.com>

Diff between wav versions 0.1.0 dated 2022-11-28 and 0.1.1 dated 2025-11-27

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Package sglg updated to version 0.2.3 with previous version 0.2.2 dated 2022-09-03

Title: Fitting Semi-Parametric Generalized log-Gamma Regression Models
Description: Set of tools to fit a linear multiple or semi-parametric regression models with the possibility of non-informative random right or left censoring. Under this setup, the localization parameter of the response variable distribution is modeled by using linear multiple regression or semi-parametric functions, whose non-parametric components may be approximated by natural cubic spline or P-splines. The supported distribution for the model error is a generalized log-gamma distribution which includes the generalized extreme value and standard normal distributions as important special cases. Inference is based on likelihood, penalized likelihood and bootstrap methods. Lastly, some numerical and graphical devices for diagnostic of the fitted models are offered.
Author: Carlos Alberto Cardozo Delgado [aut, cre, cph] , Gilberto Paula [aut], Luis Vanegas [aut]
Maintainer: Carlos Alberto Cardozo Delgado <cardozorpackages@gmail.com>

Diff between sglg versions 0.2.2 dated 2022-09-03 and 0.2.3 dated 2025-11-27

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Package parquetize readmission to version 0.5.8 with previous version 0.5.7 dated 2024-03-04

Title: Convert Files to Parquet Format
Description: Collection of functions to get files in parquet format. Parquet is a columnar storage file format <https://parquet.apache.org/>. The files to convert can be of several formats ("csv", "RData", "rds", "RSQLite", "json", "ndjson", "SAS", "SPSS"...).
Author: Damien Dotta [aut, cre], Nicolas Chuche [aut]
Maintainer: Damien Dotta <damien.dotta@live.fr>

This is a re-admission after prior archival of version 0.5.7 dated 2024-03-04

Diff between parquetize versions 0.5.7 dated 2024-03-04 and 0.5.8 dated 2025-11-27

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New package marsrad with initial version 1.0.0
Package: marsrad
Title: Mars Solar Radiation
Version: 1.0.0
Description: A set of functions to calculate solar irradiance and insolation on Mars horizontal and inclined surfaces. Based on NASA Technical Memoranda 102299, 103623, 105216, 106321, and 106700, i.e. the canonical Mars solar radiation papers.
License: GPL-3
URL: https://georges.fyi/marsrad/, https://github.com/georgeslabreche/marsrad
BugReports: https://github.com/georgeslabreche/marsrad/issues
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
Imports: stats
Suggests: testthat, covr, DT, htmltools
NeedsCompilation: no
Packaged: 2025-11-24 05:33:29 UTC; georgeslabreche
Author: Georges Labreche [aut, cre]
Maintainer: Georges Labreche <georges@tanagraspace.com>
Repository: CRAN
Date/Publication: 2025-11-27 19:10:07 UTC

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New package grasps with initial version 0.1.0
Package: grasps
Title: Groupwise Regularized Adaptive Sparse Precision Solution
Version: 0.1.0
Maintainer: Shiying Xiao <shiying.xiao@outlook.com>
Description: Provides a unified framework for sparse-group regularization and precision matrix estimation in Gaussian graphical models. It implements multiple sparse-group penalties, including sparse-group lasso, sparse-group adaptive lasso, sparse-group SCAD, and sparse-group MCP, and solves them efficiently using ADMM-based optimization. The package is designed for high-dimensional network inference where both sparsity and group structure are present.
License: GPL (>= 3)
URL: https://github.com/Carol-seven/grasps, https://shiying-xiao.com/grasps/
BugReports: https://github.com/Carol-seven/grasps/issues
Encoding: UTF-8
Imports: igraph, ggforce, ggplot2, grDevices, Rcpp, Rdpack, scales
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr, MASS, quarto, rmarkdown
VignetteBuilder: knitr, quarto
NeedsCompilation: yes
Packaged: 2025-11-24 04:09:47 UTC; csxiao
Author: Shiying Xiao [aut, cre]
Repository: CRAN
Date/Publication: 2025-11-27 19:10:14 UTC

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New package glscalibrator with initial version 0.1.0
Package: glscalibrator
Title: Automated Calibration and Analysis of 'GLS' (Global Location Sensor) Data
Version: 0.1.0
Maintainer: Fabio Favoretto <favoretto.fabio@gmail.com>
Description: Provides a fully automated workflow for calibrating and analyzing light-level geolocation ('GLS') data from seabirds and other wildlife. The 'glscalibrator' package auto-discovers birds from directory structures, automatically detects calibration periods from the first days of deployment, processes multiple individuals in batch mode, and generates standardized outputs including position estimates, diagnostic plots, and quality control metrics. Implements the established threshold workflow internally, following the methods described in 'SGAT' (Wotherspoon et al. (2016) <https://github.com/SWotherspoon/SGAT>), 'GeoLight' (Lisovski et al. (2012) <doi:10.1111/j.2041-210X.2012.00185.x>), and 'TwGeos' (Lisovski et al. (2019) <https://github.com/slisovski/TwGeos>).
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: magrittr, maps, dplyr, lubridate, stringr, utils, grDevices, graphics, stats
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://github.com/fabbiologia/glscalibrator
BugReports: https://github.com/fabbiologia/glscalibrator/issues
Language: en-US
NeedsCompilation: no
Packaged: 2025-11-24 15:28:27 UTC; aburtolab
Author: Fabio Favoretto [aut, cre] , Cecilia Soldatini [aut]
Repository: CRAN
Date/Publication: 2025-11-27 19:50:02 UTC

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New package FactEff with initial version 1.0
Package: FactEff
Version: 1.0
Date: 2025-11-24
Title: Efficiencies of Block Designs for Factorial and Fractional Factorial Experiments
Author: Sukanta Dash [aut], Baidya Nath Mandal [aut, cre], Anil Kumar [aut]
Maintainer: Baidya Nath Mandal <mandal.stat@gmail.com>
Depends: R (>= 4.5.0)
Imports: shiny, MASS, Matrix, htmltools
Description: Opens a 'shiny' app which supports theoretical and computational analysis of block designs for symmetrical and mixed level factorial experiments. This package includes tools to check whether a design has orthogonal factorial structure (OFS) with balance or not and is able to find the orthogonality deviation value if not having OFS. This package includes function to evaluate efficiency factor of all factorial effects in two situations, in the first situation if the design is verified with OFS and balance then calculate the efficiencies of all factorial effects using a specific analytical procedure and in the second situation if the design is verified with non-OFS and balance then a new general method has been developed and used to calculate efficiencies under the condition that the design should be proper and equi-replicated, See Gupta, S.C. and Mukerjee, R. (1987): "A Calculus for factorial arrangements". Lecture Notes in Statistics. No. 59, Springer-Verlag, Berlin, New York, <do [...truncated...]
License: GPL (>= 2)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-11-24 07:13:26 UTC; user17
Repository: CRAN
Date/Publication: 2025-11-27 19:10:20 UTC

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New package colorize with initial version 0.2.1
Package: colorize
Title: Render Text in Color for Markdown/Quarto Documents
Description: Provides some simple functions for printing text in color in 'markdown' or 'Quarto' documents, to be rendered as HTML or LaTeX. This is useful when writing about the use of colors in graphs or tables, where you want to print their names in their actual color to give a direct impression of the color, like “red” shown in red, or “blue” shown in blue.
Version: 0.2.1
Date: 2025-11-24
Depends: R (>= 4.1.0)
Imports: colorspace, knitr
Suggests: quarto, glue, crayon
License: MIT + file LICENSE
Encoding: UTF-8
VignetteBuilder: quarto
Language: en-US
URL: https://github.com/friendly/colorize
BugReports: https://github.com/friendly/colorize/issues
NeedsCompilation: no
Packaged: 2025-11-24 14:30:40 UTC; friendly
Author: Michael Friendly [aut, cre] , Achim Zeileis [aut] , Richard Brath [ctb]
Maintainer: Michael Friendly <friendly@yorku.ca>
Repository: CRAN
Date/Publication: 2025-11-27 19:50:07 UTC

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New package tidydp with initial version 0.1.0
Package: tidydp
Title: Tidy Differential Privacy
Version: 0.1.0
Description: A tidy-style interface for applying differential privacy to data frames. Provides pipe-friendly functions to add calibrated noise, compute private statistics, and track privacy budgets using the epsilon-delta differential privacy framework. Implements the Laplace mechanism (Dwork et al. 2006 <doi:10.1007/11681878_14>) and the Gaussian mechanism for achieving differential privacy as described in Dwork and Roth (2014) <doi:10.1561/0400000042>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: magrittr, stats
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/ttarler/tidydp
BugReports: https://github.com/ttarler/tidydp/issues
NeedsCompilation: no
Packaged: 2025-11-23 17:20:57 UTC; ttarler
Author: Thomas Tarler [aut, cre]
Maintainer: Thomas Tarler <ttarler@gmail.com>
Repository: CRAN
Date/Publication: 2025-11-27 19:00:02 UTC

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Package gpmap updated to version 0.1.3 with previous version 0.1.2 dated 2021-02-15

Title: Analysing and Plotting Genotype-Phenotype Maps
Description: Tools for studying genotype-phenotype maps for bi-allelic loci underlying quantitative phenotypes. The 0.1 version is released in connection with the publication of Gjuvsland et al (2013) and implements basic line plots and the monotonicity measures for GP maps presented in the paper. Reference: Gjuvsland AB, Wang Y, Plahte E and Omholt SW (2013) Monotonicity is a key feature of genotype-phenotype maps. Frontier in Genetics 4:216 <doi:10.3389/fgene.2013.00216>.
Author: Arne B. Gjuvsland [aut, cre], Yunpeng Wang [aut]
Maintainer: Arne B. Gjuvsland <arne.gjuvsland@nmbu.no>

Diff between gpmap versions 0.1.2 dated 2021-02-15 and 0.1.3 dated 2025-11-27

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Package sasfunclust (with last version 1.0.0) was removed from CRAN

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

2021-04-02 1.0.0

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Package MHD (with last version 0.1.2) was removed from CRAN

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

2024-01-24 0.1.2
2023-04-24 0.1.1

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Package mgss (with last version 1.2) was removed from CRAN

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

2021-05-10 1.2

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Package msce (with last version 1.0.1) was removed from CRAN

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

2020-10-29 1.0.1

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Package sbo (with last version 0.5.0) was removed from CRAN

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

2020-12-05 0.5.0
2020-11-09 0.3.2
2020-11-04 0.3.0

Permanent link
Package manifold (with last version 0.1.1) was removed from CRAN

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

2022-10-04 0.1.1

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Package fipp (with last version 1.0.0) was removed from CRAN

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

2021-02-11 1.0.0

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Package wbids updated to version 1.1.2 with previous version 1.1.1 dated 2025-11-11

Title: Seamless Access to World Bank International Debt Statistics (IDS)
Description: Access and analyze the World Bank's International Debt Statistics (IDS) <https://www.worldbank.org/en/programs/debt-statistics/ids>. IDS provides creditor-debtor relationships between countries, regions, and institutions. 'wbids' enables users to download, process and work with IDS series across multiple geographies, counterparts, and time periods.
Author: Teal Emery [aut, cre], Teal Insights [cph], Christoph Scheuch [aut] , Christopher Smith [ctb]
Maintainer: Teal Emery <lte@tealinsights.com>

Diff between wbids versions 1.1.1 dated 2025-11-11 and 1.1.2 dated 2025-11-27

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 NAMESPACE                                    |   48 
 NEWS.md                                      |    4 
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Package greenR updated to version 0.0.1.5 with previous version 0.0.1.4 dated 2025-09-08

Title: Green Index Quantification, Analysis and Visualization
Description: Quantification, analysis, and visualization of urban greenness within city networks using data from 'OpenStreetMap' <https://www.openstreetmap.org>.
Author: Sachit Mahajan [aut, cre]
Maintainer: Sachit Mahajan <sachitmahajan90@gmail.com>

Diff between greenR versions 0.0.1.4 dated 2025-09-08 and 0.0.1.5 dated 2025-11-27

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Package ggsurveillance updated to version 0.5.2 with previous version 0.5.1 dated 2025-07-02

Title: Tools for Outbreak Investigation/Infectious Disease Surveillance
Description: Create epicurves, epigantt charts, and diverging bar charts using 'ggplot2'. Prepare data for visualisation or other reporting for infectious disease surveillance and outbreak investigation (time series data). Includes tidy functions to solve date based transformations for common reporting tasks, like (A) seasonal date alignment for respiratory disease surveillance, (B) date-based case binning based on specified time intervals like isoweek, epiweek, month and more, (C) automated detection and marking of the new year based on the date/datetime axis of the 'ggplot2', (D) labelling of the last value of a time-series. An introduction on how to use epicurves can be found on the US CDC website (2012, <https://www.cdc.gov/training/quicklearns/epimode/index.html>).
Author: Alexander Bartel [aut, cre]
Maintainer: Alexander Bartel <alexander.bartel@fu-berlin.de>

Diff between ggsurveillance versions 0.5.1 dated 2025-07-02 and 0.5.2 dated 2025-11-27

 DESCRIPTION                                                                        |    8 
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 NEWS.md                                                                            |   14 -
 R/align_dates_seasonal.R                                                           |   12 
 R/bin_by_date.R                                                                    |    5 
 R/create_agegroups.R                                                               |   52 ++--
 R/geom_bar_range.R                                                                 |    7 
 R/geom_epicurve.R                                                                  |    5 
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 man/geom_col_range.Rd                                                              |    6 
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Package CvmortalityMult updated to version 1.1.1 with previous version 1.1.0 dated 2025-05-09

Title: Cross-Validation for Multi-Population Mortality Models
Description: Implementation of cross-validation method for testing the forecasting accuracy of several multi-population mortality models. The family of multi-population includes several multi-population mortality models proposed through the actuarial and demography literature. The package includes functions for fitting and forecast the mortality rates of several populations. Additionally, we include functions for testing the forecasting accuracy of different multi-population models. References, <https://journal.r-project.org/articles/RJ-2025-018/>. Atance, D., Debon, A., and Navarro, E. (2020) <doi:10.3390/math8091550>. Bergmeir, C. & Benitez, J.M. (2012) <doi:10.1016/j.ins.2011.12.028>. Debon, A., Montes, F., & Martinez-Ruiz, F. (2011) <doi:10.1007/s13385-011-0043-z>. Lee, R.D. & Carter, L.R. (1992) <doi:10.1080/01621459.1992.10475265>. Russolillo, M., Giordano, G., & Haberman, S. (2011) <doi:10.1080/03461231003611933>. Santolino, M. (2023) <d [...truncated...]
Author: David Atance [aut, cre] , Ana Debon [aut]
Maintainer: David Atance <david.atance@uah.es>

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Package gkwreg updated to version 2.1.6 with previous version 2.1.1 dated 2025-11-15

Title: Generalized Kumaraswamy Regression Models for Bounded Data
Description: Implements regression models for bounded continuous data in the open interval (0,1) using the five-parameter Generalized Kumaraswamy distribution. Supports modeling all distribution parameters (alpha, beta, gamma, delta, lambda) as functions of predictors through various link functions. Provides efficient maximum likelihood estimation via Template Model Builder ('TMB'), offering comprehensive diagnostics, model comparison tools, and simulation methods. Particularly useful for analyzing proportions, rates, indices, and other bounded response data with complex distributional features not adequately captured by simpler models.
Author: Jose Evandeilton Lopes [aut, cre]
Maintainer: Jose Evandeilton Lopes <evandeilton@gmail.com>

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Package GE updated to version 0.5.3 with previous version 0.5.0 dated 2025-06-19

Title: General Equilibrium Modeling
Description: Some tools for developing general equilibrium models and some general equilibrium models. These models can be used for teaching economic theory and are built by the methods of new structural economics (see LI Wu, 2019, ISBN: 9787521804225, General Equilibrium and Structural Dynamics: Perspectives of New Structural Economics. Beijing: Economic Science Press). The model form and mathematical methods can be traced back to J. von Neumann (1945, A Model of General Economic Equilibrium. The Review of Economic Studies, 13. pp. 1-9), J. G. Kemeny, O. Morgenstern and G. L. Thompson (1956, A Generalization of the von Neumann Model of an Expanding Economy, Econometrica, 24, pp. 115-135) et al. By the way, J. G. Kemeny is a co-inventor of the computer language BASIC.
Author: Wu LI [aut, cre]
Maintainer: Wu LI <liwu.shu@qq.com>

Diff between GE versions 0.5.0 dated 2025-06-19 and 0.5.3 dated 2025-11-27

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 GE-0.5.3/GE/R/sdm2.R                                                                      |   14 
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Package vistla updated to version 2.1.2 with previous version 2.1.1 dated 2025-02-19

Title: Detecting Influence Paths with Information Theory
Description: Traces information spread through interactions between features, utilising information theory measures and a higher-order generalisation of the concept of widest paths in graphs. In particular, 'vistla' can be used to better understand the results of high-throughput biomedical experiments, by organising the effects of the investigated intervention in a tree-like hierarchy from direct to indirect ones, following the plausible information relay circuits. Due to its higher-order nature, 'vistla' can handle multi-modality and assign multiple roles to a single feature.
Author: Miron B. Kursa [aut, cre]
Maintainer: Miron B. Kursa <m@mbq.me>

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Package topicmodels.etm updated to version 0.1.1 with previous version 0.1.0 dated 2021-11-08

Title: Topic Modelling in Embedding Spaces
Description: Find topics in texts which are semantically embedded using techniques like word2vec or Glove. This topic modelling technique models each word with a categorical distribution whose natural parameter is the inner product between a word embedding and an embedding of its assigned topic. The techniques are explained in detail in the paper 'Topic Modeling in Embedding Spaces' by Adji B. Dieng, Francisco J. R. Ruiz, David M. Blei (2019), available at <doi:10.48550/arXiv.1907.04907>.
Author: Jan Wijffels [aut, cre, cph] , BNOSAC [cph] , Adji B. Dieng [ctb, cph] , Francisco J. R. Ruiz [ctb, cph] , David M. Blei [ctb, cph]
Maintainer: Jan Wijffels <jwijffels@bnosac.be>

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Package plotcli updated to version 0.2.0 with previous version 0.1.0 dated 2024-04-24

Title: Command Line Interface Plotting
Description: The 'plotcli' package provides terminal-based plotting in R. It supports colored scatter plots, line plots, bar plots, boxplots, histograms, density plots, and more. The 'ggplotcli()' function is a universal converter that renders any 'ggplot2' plot in the terminal using Unicode Braille characters or ASCII. Features include support for 15+ geom types, faceting (facet_wrap/facet_grid), automatic theme detection, legends, optimized color mapping, and multiple canvas types.
Author: Claas Heuer [aut, cre]
Maintainer: Claas Heuer <claasheuer@gmail.com>

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Package mlr3fselect updated to version 1.5.0 with previous version 1.4.0 dated 2025-07-31

Title: Feature Selection for 'mlr3'
Description: Feature selection package of the 'mlr3' ecosystem. It selects the optimal feature set for any 'mlr3' learner. The package works with several optimization algorithms e.g. Random Search, Recursive Feature Elimination, and Genetic Search. Moreover, it can automatically optimize learners and estimate the performance of optimized feature sets with nested resampling.
Author: Marc Becker [aut, cre] , Patrick Schratz [aut] , Michel Lang [aut] , Bernd Bischl [aut] , John Zobolas [aut]
Maintainer: Marc Becker <marcbecker@posteo.de>

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Package ClimMobTools updated to version 1.8.2 with previous version 1.8 dated 2025-11-15

Title: API Client for the 'ClimMob' Platform
Description: API client for 'ClimMob', an open source software for decentralized large-N trials with the 'tricot' approach <https://climmob.net/>. Developed by van Etten et al. (2019) <doi:10.1017/S0014479716000739>, it turns the research paradigm on its head; instead of a few researchers designing complicated trials to compare several technologies in search of the best solutions for the target environment, it enables many participants to carry out reasonably simple experiments that taken together can offer even more information. 'ClimMobTools' enables project managers to deep explore and analyse their 'ClimMob' data in R.
Author: Kaue de Sousa [aut, cre] , Jacob van Etten [aut] , Brandon Madriz [aut]
Maintainer: Kaue de Sousa <desousa.kaue@gmail.com>

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Package MRG updated to version 0.3.21 with previous version 0.3.10 dated 2025-07-11

Title: Create Non-Confidential Multi-Resolution Grids
Description: The need for anonymization of individual survey responses often leads to many suppressed grid cells in a regular grid. Here we provide functionality for creating multi-resolution gridded data, respecting the confidentiality rules, such as a minimum number of units and dominance by one or more units for each grid cell. The functions also include the possibility for contextual suppression of data. For more details see Skoien et al. (2025) <doi:10.48550/arXiv.2410.17601>.
Author: Jon Olav Skoien [aut, cre], Nicolas Lampach [aut]
Maintainer: Jon Olav Skoien <jon.skoien@gmail.com>

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Package doc2vec updated to version 0.2.2 with previous version 0.2.0 dated 2021-03-27

Title: Distributed Representations of Sentences, Documents and Topics
Description: Learn vector representations of sentences, paragraphs or documents by using the 'Paragraph Vector' algorithms, namely the distributed bag of words ('PV-DBOW') and the distributed memory ('PV-DM') model. The techniques in the package are detailed in the paper "Distributed Representations of Sentences and Documents" by Mikolov et al. (2014), available at <doi:10.48550/arXiv.1405.4053>. The package also provides an implementation to cluster documents based on these embedding using a technique called top2vec. Top2vec finds clusters in text documents by combining techniques to embed documents and words and density-based clustering. It does this by embedding documents in the semantic space as defined by the 'doc2vec' algorithm. Next it maps these document embeddings to a lower-dimensional space using the 'Uniform Manifold Approximation and Projection' (UMAP) clustering algorithm and finds dense areas in that space using a 'Hierarchical Density-Based Clustering' technique (HDBSCAN). The [...truncated...]
Author: Jan Wijffels [aut, cre, cph] , BNOSAC [cph] , hiyijian [ctb, cph]
Maintainer: Jan Wijffels <jwijffels@bnosac.be>

Diff between doc2vec versions 0.2.0 dated 2021-03-27 and 0.2.2 dated 2025-11-27

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More information about doc2vec at CRAN
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Package clinicalsignificance updated to version 3.0.0 with previous version 2.1.0 dated 2024-12-02

Title: A Toolbox for Clinical Significance Analyses in Intervention Studies
Description: A clinical significance analysis can be used to determine if an intervention has a meaningful or practical effect for patients. You provide a tidy data set plus a few more metrics and this package will take care of it to make your results publication ready. Accompanying package to Claus et al. <doi:10.18637/jss.v111.i01>.
Author: Benedikt Claus [aut, cre]
Maintainer: Benedikt Claus <benediktclaus@outlook.com>

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Package BayesRegDTR updated to version 1.1.2 with previous version 1.1.1 dated 2025-10-26

Title: Bayesian Regression for Dynamic Treatment Regimes
Description: Methods to estimate optimal dynamic treatment regimes using Bayesian likelihood-based regression approach as described in Yu, W., & Bondell, H. D. (2023) <doi:10.1093/jrsssb/qkad016> Uses backward induction and dynamic programming theory for computing expected values. Offers options for future parallel computing.
Author: Jeremy Lim [aut], Weichang Yu [aut, cre]
Maintainer: Weichang Yu <weichang.yu@unimelb.edu.au>

Diff between BayesRegDTR versions 1.1.1 dated 2025-10-26 and 1.1.2 dated 2025-11-27

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Package runMCMCbtadjust (with last version 1.1.2) was removed from CRAN

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Package lintr updated to version 3.3.0-1 with previous version 3.2.0 dated 2025-02-12

Title: A 'Linter' for R Code
Description: Checks adherence to a given style, syntax errors and possible semantic issues. Supports on the fly checking of R code edited with 'RStudio IDE', 'Emacs', 'Vim', 'Sublime Text', 'Atom' and 'Visual Studio Code'.
Author: Jim Hester [aut], Florent Angly [aut] , Russ Hyde [aut], Michael Chirico [aut, cre] , Kun Ren [aut], Alexander Rosenstock [aut] , Indrajeet Patil [aut] , Hugo Gruson [aut]
Maintainer: Michael Chirico <michaelchirico4@gmail.com>

Diff between lintr versions 3.2.0 dated 2025-02-12 and 3.3.0-1 dated 2025-11-27

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 lintr-3.3.0-1/lintr/man/lintr-deprecated.Rd                                        |   48 
 lintr-3.3.0-1/lintr/man/lintr-package.Rd                                           |    5 
 lintr-3.3.0-1/lintr/man/list2df_linter.Rd                                          |only
 lintr-3.3.0-1/lintr/man/matrix_apply_linter.Rd                                     |   22 
 lintr-3.3.0-1/lintr/man/normalize_exclusions.Rd                                    |   13 
 lintr-3.3.0-1/lintr/man/object_usage_linter.Rd                                     |   19 
 lintr-3.3.0-1/lintr/man/package_hooks_linter.Rd                                    |   14 
 lintr-3.3.0-1/lintr/man/paste_linter.Rd                                            |    8 
 lintr-3.3.0-1/lintr/man/pipe_consistency_linter.Rd                                 |   25 
 lintr-3.3.0-1/lintr/man/pipe_return_linter.Rd                                      |   17 
 lintr-3.3.0-1/lintr/man/readability_linters.Rd                                     |    2 
 lintr-3.3.0-1/lintr/man/regex_subset_linter.Rd                                     |   19 
 lintr-3.3.0-1/lintr/man/repeat_linter.Rd                                           |    3 
 lintr-3.3.0-1/lintr/man/robustness_linters.Rd                                      |    2 
 lintr-3.3.0-1/lintr/man/scalar_in_linter.Rd                                        |    5 
 lintr-3.3.0-1/lintr/man/seq_linter.Rd                                              |   20 
 lintr-3.3.0-1/lintr/man/sprintf_linter.Rd                                          |    5 
 lintr-3.3.0-1/lintr/man/string_boundary_linter.Rd                                  |    4 
 lintr-3.3.0-1/lintr/man/undesirable_function_linter.Rd                             |   30 
 lintr-3.3.0-1/lintr/man/undesirable_operator_linter.Rd                             |   47 
 lintr-3.3.0-1/lintr/tests/testthat/default_linter_testcode.R                       |    1 
 lintr-3.3.0-1/lintr/tests/testthat/dummy_projects/project/mismatched_starts_ends.R |   10 
 lintr-3.3.0-1/lintr/tests/testthat/dummy_projects/project/one_start_no_end.R       |    2 
 lintr-3.3.0-1/lintr/tests/testthat/helper.R                                        |    7 
 lintr-3.3.0-1/lintr/tests/testthat/test-Lint-builder.R                             |   20 
 lintr-3.3.0-1/lintr/tests/testthat/test-T_and_F_symbol_linter.R                    |   32 
 lintr-3.3.0-1/lintr/tests/testthat/test-absolute_path_linter.R                     |  144 --
 lintr-3.3.0-1/lintr/tests/testthat/test-all_equal_linter.R                         |only
 lintr-3.3.0-1/lintr/tests/testthat/test-any_duplicated_linter.R                    |   37 
 lintr-3.3.0-1/lintr/tests/testthat/test-assignment_linter.R                        |  159 +--
 lintr-3.3.0-1/lintr/tests/testthat/test-backport_linter.R                          |   20 
 lintr-3.3.0-1/lintr/tests/testthat/test-boolean_arithmetic_linter.R                |   40 
 lintr-3.3.0-1/lintr/tests/testthat/test-brace_linter.R                             |  192 ++-
 lintr-3.3.0-1/lintr/tests/testthat/test-cache.R                                    |  364 -------
 lintr-3.3.0-1/lintr/tests/testthat/test-coalesce_linter.R                          |only
 lintr-3.3.0-1/lintr/tests/testthat/test-commented_code_linter.R                    |   30 
 lintr-3.3.0-1/lintr/tests/testthat/test-comparison_negation_linter.R               |   21 
 lintr-3.3.0-1/lintr/tests/testthat/test-condition_call_linter.R                    |   20 
 lintr-3.3.0-1/lintr/tests/testthat/test-condition_message_linter.R                 |   71 -
 lintr-3.3.0-1/lintr/tests/testthat/test-conjunct_test_linter.R                     |   71 -
 lintr-3.3.0-1/lintr/tests/testthat/test-consecutive_assertion_linter.R             |   12 
 lintr-3.3.0-1/lintr/tests/testthat/test-cyclocomp_linter.R                         |   32 
 lintr-3.3.0-1/lintr/tests/testthat/test-download_file_linter.R                     |only
 lintr-3.3.0-1/lintr/tests/testthat/test-empty_assignment_linter.R                  |    9 
 lintr-3.3.0-1/lintr/tests/testthat/test-exclusions.R                               |   45 
 lintr-3.3.0-1/lintr/tests/testthat/test-expect_comparison_linter.R                 |   19 
 lintr-3.3.0-1/lintr/tests/testthat/test-expect_lint.R                              |   44 
 lintr-3.3.0-1/lintr/tests/testthat/test-expect_true_false_linter.R                 |   29 
 lintr-3.3.0-1/lintr/tests/testthat/test-extraction_operator_linter.R               |   37 
 lintr-3.3.0-1/lintr/tests/testthat/test-fixed_regex_linter.R                       |  141 +-
 lintr-3.3.0-1/lintr/tests/testthat/test-function_left_parentheses_linter.R         |   61 -
 lintr-3.3.0-1/lintr/tests/testthat/test-get_source_expressions.R                   |  181 ++-
 lintr-3.3.0-1/lintr/tests/testthat/test-ids_with_token.R                           |    6 
 lintr-3.3.0-1/lintr/tests/testthat/test-if_switch_linter.R                         |   98 +
 lintr-3.3.0-1/lintr/tests/testthat/test-ifelse_censor_linter.R                     |   33 
 lintr-3.3.0-1/lintr/tests/testthat/test-implicit_assignment_linter.R               |  165 +--
 lintr-3.3.0-1/lintr/tests/testthat/test-implicit_integer_linter.R                  |   43 
 lintr-3.3.0-1/lintr/tests/testthat/test-indentation_linter.R                       |  221 ++--
 lintr-3.3.0-1/lintr/tests/testthat/test-infix_spaces_linter.R                      |   73 -
 lintr-3.3.0-1/lintr/tests/testthat/test-is_numeric_linter.R                        |   26 
 lintr-3.3.0-1/lintr/tests/testthat/test-keyword_quote_linter.R                     |   54 -
 lintr-3.3.0-1/lintr/tests/testthat/test-length_test_linter.R                       |  100 +-
 lintr-3.3.0-1/lintr/tests/testthat/test-library_call_linter.R                      |   78 -
 lintr-3.3.0-1/lintr/tests/testthat/test-line_length_linter.R                       |   92 +
 lintr-3.3.0-1/lintr/tests/testthat/test-lint.R                                     |  103 +-
 lintr-3.3.0-1/lintr/tests/testthat/test-lint_dir.R                                 |    2 
 lintr-3.3.0-1/lintr/tests/testthat/test-lint_package.R                             |    6 
 lintr-3.3.0-1/lintr/tests/testthat/test-linter_tags.R                              |   69 +
 lintr-3.3.0-1/lintr/tests/testthat/test-list2df_linter.R                           |only
 lintr-3.3.0-1/lintr/tests/testthat/test-literal_coercion_linter.R                  |   74 +
 lintr-3.3.0-1/lintr/tests/testthat/test-make_linter_from_xpath.R                   |   59 +
 lintr-3.3.0-1/lintr/tests/testthat/test-matrix_apply_linter.R                      |   43 
 lintr-3.3.0-1/lintr/tests/testthat/test-methods.R                                  |   22 
 lintr-3.3.0-1/lintr/tests/testthat/test-missing_argument_linter.R                  |   30 
 lintr-3.3.0-1/lintr/tests/testthat/test-namespace_linter.R                         |   36 
 lintr-3.3.0-1/lintr/tests/testthat/test-nzchar_linter.R                            |   43 
 lintr-3.3.0-1/lintr/tests/testthat/test-object_length_linter.R                     |   40 
 lintr-3.3.0-1/lintr/tests/testthat/test-object_name_linter.R                       |  252 +++--
 lintr-3.3.0-1/lintr/tests/testthat/test-object_overwrite_linter.R                  |    4 
 lintr-3.3.0-1/lintr/tests/testthat/test-object_usage_linter.R                      |  228 ++--
 lintr-3.3.0-1/lintr/tests/testthat/test-one_call_pipe_linter.R                     |   36 
 lintr-3.3.0-1/lintr/tests/testthat/test-outer_negation_linter.R                    |   34 
 lintr-3.3.0-1/lintr/tests/testthat/test-package_hooks_linter.R                     |   57 -
 lintr-3.3.0-1/lintr/tests/testthat/test-paste_linter.R                             |  123 +-
 lintr-3.3.0-1/lintr/tests/testthat/test-pipe_call_linter.R                         |   18 
 lintr-3.3.0-1/lintr/tests/testthat/test-pipe_consistency_linter.R                  |  129 +-
 lintr-3.3.0-1/lintr/tests/testthat/test-pipe_continuation_linter.R                 |   17 
 lintr-3.3.0-1/lintr/tests/testthat/test-pipe_return_linter.R                       |    6 
 lintr-3.3.0-1/lintr/tests/testthat/test-quotes_linter.R                            |   51 -
 lintr-3.3.0-1/lintr/tests/testthat/test-redundant_equals_linter.R                  |   17 
 lintr-3.3.0-1/lintr/tests/testthat/test-redundant_ifelse_linter.R                  |   46 
 lintr-3.3.0-1/lintr/tests/testthat/test-regex_subset_linter.R                      |   42 
 lintr-3.3.0-1/lintr/tests/testthat/test-return_linter.R                            |  289 +++--
 lintr-3.3.0-1/lintr/tests/testthat/test-rstudio_markers.R                          |    2 
 lintr-3.3.0-1/lintr/tests/testthat/test-seq_linter.R                               |   67 +
 lintr-3.3.0-1/lintr/tests/testthat/test-settings.R                                 |   92 -
 lintr-3.3.0-1/lintr/tests/testthat/test-sort_linter.R                              |   62 -
 lintr-3.3.0-1/lintr/tests/testthat/test-sprintf_linter.R                           |   81 +
 lintr-3.3.0-1/lintr/tests/testthat/test-string_boundary_linter.R                   |   79 +
 lintr-3.3.0-1/lintr/tests/testthat/test-strings_as_factors_linter.R                |   38 
 lintr-3.3.0-1/lintr/tests/testthat/test-terminal_close_linter.R                    |   39 
 lintr-3.3.0-1/lintr/tests/testthat/test-todo_comment_linter.R                      |   38 
 lintr-3.3.0-1/lintr/tests/testthat/test-undesirable_function_linter.R              |   59 -
 lintr-3.3.0-1/lintr/tests/testthat/test-undesirable_operator_linter.R              |   67 -
 lintr-3.3.0-1/lintr/tests/testthat/test-unnecessary_concatenation_linter.R         |   42 
 lintr-3.3.0-1/lintr/tests/testthat/test-unnecessary_lambda_linter.R                |  137 +-
 lintr-3.3.0-1/lintr/tests/testthat/test-unnecessary_nested_if_linter.R             |  260 -----
 lintr-3.3.0-1/lintr/tests/testthat/test-unnecessary_nesting_linter.R               |  223 ++--
 lintr-3.3.0-1/lintr/tests/testthat/test-unnecessary_placeholder_linter.R           |   24 
 lintr-3.3.0-1/lintr/tests/testthat/test-unneeded_concatenation_linter.R            |    4 
 lintr-3.3.0-1/lintr/tests/testthat/test-unused_import_linter.R                     |   30 
 lintr-3.3.0-1/lintr/tests/testthat/test-use_lintr.R                                |   55 +
 lintr-3.3.0-1/lintr/tests/testthat/test-vector_logic_linter.R                      |  102 +-
 lintr-3.3.0-1/lintr/tests/testthat/test-which_grepl_linter.R                       |    2 
 lintr-3.3.0-1/lintr/tests/testthat/test-whitespace_linter.R                        |   26 
 lintr-3.3.0-1/lintr/tests/testthat/test-with.R                                     |   21 
 lintr-3.3.0-1/lintr/tests/testthat/test-with_id.R                                  |    9 
 lintr-3.3.0-1/lintr/tests/testthat/test-yoda_test_linter.R                         |   12 
 lintr-3.3.0-1/lintr/vignettes/lintr.Rmd                                            |    9 
 258 files changed, 6142 insertions(+), 4505 deletions(-)

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