Thu, 12 Mar 2026

Package riskRegression updated to version 2026.03.11 with previous version 2026.02.13 dated 2026-02-16

Title: Risk Regression Models and Prediction Scores for Survival Analysis with Competing Risks
Description: Implementation of the following methods for event history analysis. Risk regression models for survival endpoints also in the presence of competing risks are fitted using binomial regression based on a time sequence of binary event status variables. A formula interface for the Fine-Gray regression model and an interface for the combination of cause-specific Cox regression models. A toolbox for assessing and comparing performance of risk predictions (risk markers and risk prediction models). Prediction performance is measured by the Brier score and the area under the ROC curve for binary possibly time-dependent outcome. Inverse probability of censoring weighting and pseudo values are used to deal with right censored data. Lists of risk markers and lists of risk models are assessed simultaneously. Cross-validation repeatedly splits the data, trains the risk prediction models on one part of each split and then summarizes and compares the performance across splits.
Author: Thomas Alexander Gerds [aut, cre], Johan Sebastian Ohlendorff [aut], Paul Blanche [ctb], Rikke Mortensen [ctb], Marvin Wright [ctb], Nikolaj Tollenaar [ctb], John Muschelli [ctb], Ulla Brasch Mogensen [ctb], Asbjoern Risom [ctb], Brice Ozenne [aut]
Maintainer: Thomas Alexander Gerds <tag@biostat.ku.dk>

Diff between riskRegression versions 2026.02.13 dated 2026-02-16 and 2026.03.11 dated 2026-03-12

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Package remstats updated to version 3.2.5 with previous version 3.2.4 dated 2025-01-29

Title: Computes Statistics for Relational Event History Data
Description: Computes a variety of statistics for relational event models. Relational event models enable researchers to investigate both exogenous and endogenous factors influencing the evolution of a time-ordered sequence of events. These models are categorized into tie-oriented models (Butts, C., 2008, <doi:10.1111/j.1467-9531.2008.00203.x>), where the probability of a dyad interacting next is modeled in a single step, and actor-oriented models (Stadtfeld, C., & Block, P., 2017, <doi:10.15195/v4.a14>), which first model the probability of a sender initiating an interaction and subsequently the probability of the sender's choice of receiver. The package is designed to compute a variety of statistics that summarize exogenous and endogenous influences on the event stream for both types of models.
Author: Marlyne Meijerink-Bosman [aut], Giuseppe Arena [ctb], Diana Karimova [ctb], Rumana Lakdawala [ctb], Mahdi Shafiee Kamalabad [ctb], Fabio Generoso Vieira [ctb], Roger Leenders [ctb], Joris Mulder [aut, cre]
Maintainer: Joris Mulder <j.mulder3@tilburguniversity.edu>

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Package protolite updated to version 2.4.0 with previous version 2.3.1 dated 2024-10-04

Title: Highly Optimized Protocol Buffer Serializers
Description: Pure C++ implementations for reading and writing several common data formats based on Google protocol-buffers. Currently supports 'rexp.proto' for serialized R objects, 'geobuf.proto' for binary geojson, and 'mvt.proto' for vector tiles. This package uses the auto-generated C++ code by protobuf-compiler, hence the entire serialization is optimized at compile time. The 'RProtoBuf' package on the other hand uses the protobuf runtime library to provide a general- purpose toolkit for reading and writing arbitrary protocol-buffer data in R.
Author: Jeroen Ooms [aut, cre]
Maintainer: Jeroen Ooms <jeroenooms@gmail.com>

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Package munsellinterpol updated to version 3.3-2 with previous version 3.2-0 dated 2025-06-18

Title: Interpolate Munsell Renotation Data from Hue Value/Chroma to CIE/RGB
Description: Methods for interpolating data in the Munsell color system following the ASTM D-1535 standard. Hues and chromas with decimal values can be interpolated and converted to/from the Munsell color system and CIE xyY, CIE XYZ, CIE Lab, CIE Luv, or RGB. Includes ISCC-NBS color block lookup. Based on the work by Paul Centore, "The Munsell and Kubelka-Munk Toolbox".
Author: Jose Gama [aut, trl], Paul Centore [aut, cph], Glenn Davis [aut, cre]
Maintainer: Glenn Davis <gdavis@gluonics.com>

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Package Luminescence updated to version 1.2.0 with previous version 1.1.2 dated 2025-12-12

Title: Comprehensive Luminescence Dating Data Analysis
Description: A collection of various R functions for the purpose of Luminescence dating data analysis. This includes, amongst others, data import, export, application of age models, curve deconvolution, sequence analysis and plotting of equivalent dose distributions.
Author: Sebastian Kreutzer [aut, trl, cre, dtc] , Christoph Burow [aut, trl, dtc] , Michael Dietze [aut] , Margret C. Fuchs [aut] , Christoph Schmidt [aut] , Manfred Fischer [aut, trl], Johannes Friedrich [aut] , Norbert Mercier [aut] , Rachel K. Smedley [ct [...truncated...]
Maintainer: Sebastian Kreutzer <maintainer_luminescence@r-luminescence.org>

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 Luminescence-1.2.0/Luminescence/man/analyse_SAR.TL.Rd                                   |   30 
 Luminescence-1.2.0/Luminescence/man/analyse_baSAR.Rd                                    |  110 -
 Luminescence-1.2.0/Luminescence/man/analyse_pIRIRSequence.Rd                            |   61 
 Luminescence-1.2.0/Luminescence/man/analyse_portableOSL.Rd                              |   47 
 Luminescence-1.2.0/Luminescence/man/apply_CosmicRayRemoval.Rd                           |   20 
 Luminescence-1.2.0/Luminescence/man/apply_Crosstalk.Rd                                  |   17 
 Luminescence-1.2.0/Luminescence/man/apply_EfficiencyCorrection.Rd                       |   25 
 Luminescence-1.2.0/Luminescence/man/bin_RLum.Data.Rd                                    |    4 
 Luminescence-1.2.0/Luminescence/man/calc_AliquotSize.Rd                                 |    2 
 Luminescence-1.2.0/Luminescence/man/calc_AverageDose.Rd                                 |   65 
 Luminescence-1.2.0/Luminescence/man/calc_CentralDose.Rd                                 |    6 
 Luminescence-1.2.0/Luminescence/man/calc_CobbleDoseRate.Rd                              |   25 
 Luminescence-1.2.0/Luminescence/man/calc_CommonDose.Rd                                  |    8 
 Luminescence-1.2.0/Luminescence/man/calc_CosmicDoseRate.Rd                              |    5 
 Luminescence-1.2.0/Luminescence/man/calc_EED_Model.Rd                                   |   10 
 Luminescence-1.2.0/Luminescence/man/calc_FadingCorr.Rd                                  |    7 
 Luminescence-1.2.0/Luminescence/man/calc_FastRatio.Rd                                   |    2 
 Luminescence-1.2.0/Luminescence/man/calc_FiniteMixture.Rd                               |    6 
 Luminescence-1.2.0/Luminescence/man/calc_FuchsLang2001.Rd                               |    8 
 Luminescence-1.2.0/Luminescence/man/calc_HomogeneityTest.Rd                             |    6 
 Luminescence-1.2.0/Luminescence/man/calc_Huntley2006.Rd                                 |   13 
 Luminescence-1.2.0/Luminescence/man/calc_IEU.Rd                                         |    6 
 Luminescence-1.2.0/Luminescence/man/calc_Lamothe2003.Rd                                 |   23 
 Luminescence-1.2.0/Luminescence/man/calc_MaxDose.Rd                                     |   25 
 Luminescence-1.2.0/Luminescence/man/calc_MinDose.Rd                                     |   83 
 Luminescence-1.2.0/Luminescence/man/calc_MoransI.Rd                                     |   13 
 Luminescence-1.2.0/Luminescence/man/calc_OSLLxTxDecomposed.Rd                           |   12 
 Luminescence-1.2.0/Luminescence/man/calc_OSLLxTxRatio.Rd                                |   88 
 Luminescence-1.2.0/Luminescence/man/calc_SourceDoseRate.Rd                              |   22 
 Luminescence-1.2.0/Luminescence/man/calc_Statistics.Rd                                  |    4 
 Luminescence-1.2.0/Luminescence/man/calc_TLLxTxRatio.Rd                                 |   37 
 Luminescence-1.2.0/Luminescence/man/calc_ThermalLifetime.Rd                             |    4 
 Luminescence-1.2.0/Luminescence/man/calc_WodaFuchs2008.Rd                               |    4 
 Luminescence-1.2.0/Luminescence/man/calc_gSGC.Rd                                        |    6 
 Luminescence-1.2.0/Luminescence/man/calc_gSGC_feldspar.Rd                               |    4 
 Luminescence-1.2.0/Luminescence/man/combine_De_Dr.Rd                                    |   42 
 Luminescence-1.2.0/Luminescence/man/convert_Activity2Concentration.Rd                   |   18 
 Luminescence-1.2.0/Luminescence/man/convert_BIN2CSV.Rd                                  |    4 
 Luminescence-1.2.0/Luminescence/man/convert_CW2pHMi.Rd                                  |   38 
 Luminescence-1.2.0/Luminescence/man/convert_CW2pLM.Rd                                   |   23 
 Luminescence-1.2.0/Luminescence/man/convert_CW2pLMi.Rd                                  |   33 
 Luminescence-1.2.0/Luminescence/man/convert_CW2pPMi.Rd                                  |   34 
 Luminescence-1.2.0/Luminescence/man/convert_Concentration2DoseRate.Rd                   |   38 
 Luminescence-1.2.0/Luminescence/man/convert_Daybreak2CSV.Rd                             |    7 
 Luminescence-1.2.0/Luminescence/man/convert_PSL2CSV.Rd                                  |   10 
 Luminescence-1.2.0/Luminescence/man/convert_PSL2Risoe.BINfileData.Rd                    |    8 
 Luminescence-1.2.0/Luminescence/man/convert_RLum2Risoe.BINfileData.Rd                   |    4 
 Luminescence-1.2.0/Luminescence/man/convert_SG2MG.Rd                                    |   27 
 Luminescence-1.2.0/Luminescence/man/convert_Second2Gray.Rd                              |   12 
 Luminescence-1.2.0/Luminescence/man/convert_Wavelength2Energy.Rd                        |    4 
 Luminescence-1.2.0/Luminescence/man/convert_XSYG2CSV.Rd                                 |    6 
 Luminescence-1.2.0/Luminescence/man/correct_PMTLinearity.Rd                             |   10 
 Luminescence-1.2.0/Luminescence/man/dot-as.latex.table.Rd                               |    4 
 Luminescence-1.2.0/Luminescence/man/extract_IrradiationTimes.Rd                         |    9 
 Luminescence-1.2.0/Luminescence/man/extract_ROI.Rd                                      |   11 
 Luminescence-1.2.0/Luminescence/man/fit_CWCurve.Rd                                      |   18 
 Luminescence-1.2.0/Luminescence/man/fit_DoseResponseCurve.Rd                            |   80 
 Luminescence-1.2.0/Luminescence/man/fit_EmissionSpectra.Rd                              |   12 
 Luminescence-1.2.0/Luminescence/man/fit_LMCurve.Rd                                      |   40 
 Luminescence-1.2.0/Luminescence/man/fit_OSLLifeTimes.Rd                                 |    4 
 Luminescence-1.2.0/Luminescence/man/fit_SurfaceExposure.Rd                              |   10 
 Luminescence-1.2.0/Luminescence/man/fit_ThermalQuenching.Rd                             |    4 
 Luminescence-1.2.0/Luminescence/man/get_Layout.Rd                                       |    2 
 Luminescence-1.2.0/Luminescence/man/get_RLum.Rd                                         |   13 
 Luminescence-1.2.0/Luminescence/man/get_rightAnswer.Rd                                  |    2 
 Luminescence-1.2.0/Luminescence/man/import_Data.Rd                                      |    8 
 Luminescence-1.2.0/Luminescence/man/length_RLum.Rd                                      |    9 
 Luminescence-1.2.0/Luminescence/man/melt_RLum.Rd                                        |    4 
 Luminescence-1.2.0/Luminescence/man/merge_RLum.Analysis.Rd                              |   10 
 Luminescence-1.2.0/Luminescence/man/merge_RLum.Data.Curve.Rd                            |   11 
 Luminescence-1.2.0/Luminescence/man/merge_RLum.Data.Spectrum.Rd                         |    7 
 Luminescence-1.2.0/Luminescence/man/merge_RLum.Rd                                       |    7 
 Luminescence-1.2.0/Luminescence/man/merge_RLum.Results.Rd                               |    6 
 Luminescence-1.2.0/Luminescence/man/merge_Risoe.BINfileData.Rd                          |   15 
 Luminescence-1.2.0/Luminescence/man/metadata.Rd                                         |    8 
 Luminescence-1.2.0/Luminescence/man/methods_RLum.Rd                                     |   28 
 Luminescence-1.2.0/Luminescence/man/names_RLum.Rd                                       |    7 
 Luminescence-1.2.0/Luminescence/man/normalise_RLum.Rd                                   |only
 Luminescence-1.2.0/Luminescence/man/plot_AbanicoPlot.Rd                                 |   67 
 Luminescence-1.2.0/Luminescence/man/plot_DRCSummary.Rd                                  |   20 
 Luminescence-1.2.0/Luminescence/man/plot_DRTResults.Rd                                  |   38 
 Luminescence-1.2.0/Luminescence/man/plot_DetPlot.Rd                                     |   41 
 Luminescence-1.2.0/Luminescence/man/plot_DoseResponseCurve.Rd                           |   13 
 Luminescence-1.2.0/Luminescence/man/plot_FilterCombinations.Rd                          |    9 
 Luminescence-1.2.0/Luminescence/man/plot_GrowthCurve.Rd                                 |   45 
 Luminescence-1.2.0/Luminescence/man/plot_Histogram.Rd                                   |    5 
 Luminescence-1.2.0/Luminescence/man/plot_KDE.Rd                                         |   16 
 Luminescence-1.2.0/Luminescence/man/plot_MoranScatterplot.Rd                            |   31 
 Luminescence-1.2.0/Luminescence/man/plot_NRt.Rd                                         |    9 
 Luminescence-1.2.0/Luminescence/man/plot_OSLAgeSummary.Rd                               |   10 
 Luminescence-1.2.0/Luminescence/man/plot_RLum.Analysis.Rd                               |    6 
 Luminescence-1.2.0/Luminescence/man/plot_RLum.Data.Curve.Rd                             |   17 
 Luminescence-1.2.0/Luminescence/man/plot_RLum.Data.Image.Rd                             |   11 
 Luminescence-1.2.0/Luminescence/man/plot_RLum.Data.Spectrum.Rd                          |   21 
 Luminescence-1.2.0/Luminescence/man/plot_RLum.Rd                                        |   61 
 Luminescence-1.2.0/Luminescence/man/plot_RLum.Results.Rd                                |    4 
 Luminescence-1.2.0/Luminescence/man/plot_ROI.Rd                                         |   52 
 Luminescence-1.2.0/Luminescence/man/plot_RadialPlot.Rd                                  |   22 
 Luminescence-1.2.0/Luminescence/man/plot_Risoe.BINfileData.Rd                           |   11 
 Luminescence-1.2.0/Luminescence/man/plot_SingleGrainDisc.Rd                             |   17 
 Luminescence-1.2.0/Luminescence/man/plot_ViolinPlot.Rd                                  |   14 
 Luminescence-1.2.0/Luminescence/man/read_BIN2R.Rd                                       |   28 
 Luminescence-1.2.0/Luminescence/man/read_BINXLOG2R.Rd                                   |only
 Luminescence-1.2.0/Luminescence/man/read_Daybreak2R.Rd                                  |   24 
 Luminescence-1.2.0/Luminescence/man/read_HeliosOSL2R.Rd                                 |   24 
 Luminescence-1.2.0/Luminescence/man/read_PSL2R.Rd                                       |   24 
 Luminescence-1.2.0/Luminescence/man/read_RF2R.Rd                                        |   23 
 Luminescence-1.2.0/Luminescence/man/read_SPE2R.Rd                                       |   28 
 Luminescence-1.2.0/Luminescence/man/read_TIFF2R.Rd                                      |   21 
 Luminescence-1.2.0/Luminescence/man/read_XSYG2R.Rd                                      |   18 
 Luminescence-1.2.0/Luminescence/man/remove_RLum.Rd                                      |    4 
 Luminescence-1.2.0/Luminescence/man/remove_SignalBackground.Rd                          |    7 
 Luminescence-1.2.0/Luminescence/man/replicate_RLum.Rd                                   |    4 
 Luminescence-1.2.0/Luminescence/man/report_RLum.Rd                                      |    6 
 Luminescence-1.2.0/Luminescence/man/sTeve.Rd                                            |    2 
 Luminescence-1.2.0/Luminescence/man/scale_GammaDose.Rd                                  |   13 
 Luminescence-1.2.0/Luminescence/man/set_RLum.Rd                                         |    7 
 Luminescence-1.2.0/Luminescence/man/set_Risoe.BINfileData.Rd                            |    4 
 Luminescence-1.2.0/Luminescence/man/smooth_RLum.Rd                                      |   17 
 Luminescence-1.2.0/Luminescence/man/sort_RLum.Rd                                        |    5 
 Luminescence-1.2.0/Luminescence/man/structure_RLum.Rd                                   |    7 
 Luminescence-1.2.0/Luminescence/man/subset_SingleGrainData.Rd                           |   22 
 Luminescence-1.2.0/Luminescence/man/template_DRAC.Rd                                    |   18 
 Luminescence-1.2.0/Luminescence/man/trim_RLum.Data.Rd                                   |    4 
 Luminescence-1.2.0/Luminescence/man/tune_Data.Rd                                        |    4 
 Luminescence-1.2.0/Luminescence/man/use_DRAC.Rd                                         |    8 
 Luminescence-1.2.0/Luminescence/man/verify_SingleGrainData.Rd                           |   14 
 Luminescence-1.2.0/Luminescence/man/view.Rd                                             |    4 
 Luminescence-1.2.0/Luminescence/man/write_R2BIN.Rd                                      |    6 
 Luminescence-1.2.0/Luminescence/man/write_R2TIFF.Rd                                     |    7 
 Luminescence-1.2.0/Luminescence/man/write_RLum2CSV.Rd                                   |    4 
 Luminescence-1.2.0/Luminescence/src/Makevars                                            |    1 
 Luminescence-1.2.0/Luminescence/src/Makevars.win                                        |    1 
 Luminescence-1.2.0/Luminescence/src/RcppExports.cpp                                     |    9 
 Luminescence-1.2.0/Luminescence/src/create_UID.cpp                                      |    3 
 Luminescence-1.2.0/Luminescence/src/src_ThermoChronometry.cpp                           |    3 
 Luminescence-1.2.0/Luminescence/src/src_analyse_IRSARRF_SRS.cpp                         |   44 
 Luminescence-1.2.0/Luminescence/src/src_fit_functions.cpp                               |    8 
 Luminescence-1.2.0/Luminescence/tests/testthat/_data/OSLdecomposed_1.2.0.rds            |only
 Luminescence-1.2.0/Luminescence/tests/testthat/_data/daybreak-tests                     |only
 Luminescence-1.2.0/Luminescence/tests/testthat/setup.R                                  |   17 
 Luminescence-1.2.0/Luminescence/tests/testthat/test_RLum.Analysis-class.R               |   26 
 Luminescence-1.2.0/Luminescence/tests/testthat/test_RLum.Data.Curve.R                   |   22 
 Luminescence-1.2.0/Luminescence/tests/testthat/test_RLum.Data.Image.R                   |    2 
 Luminescence-1.2.0/Luminescence/tests/testthat/test_RLum.Data.Spectrum.R                |    2 
 Luminescence-1.2.0/Luminescence/tests/testthat/test_RLum.Results-class.R                |    4 
 Luminescence-1.2.0/Luminescence/tests/testthat/test_Risoe.BINfileData-class.R           |   12 
 Luminescence-1.2.0/Luminescence/tests/testthat/test_Risoe.BINfileData2RLum.Analysis.R   |   10 
 Luminescence-1.2.0/Luminescence/tests/testthat/test_Risoe.BINfileData2RLum.Data.Curve.R |   14 
 Luminescence-1.2.0/Luminescence/tests/testthat/test_analyse_Al2O3C_CrossTalk.R          |   35 
 Luminescence-1.2.0/Luminescence/tests/testthat/test_analyse_Al2O3C_ITC.R                |   25 
 Luminescence-1.2.0/Luminescence/tests/testthat/test_analyse_Al2O3C_Measurement.R        |   19 
 Luminescence-1.2.0/Luminescence/tests/testthat/test_analyse_FadingMeasurement.R         |  118 -
 Luminescence-1.2.0/Luminescence/tests/testthat/test_analyse_IRSAR.RF.R                  |    2 
 Luminescence-1.2.0/Luminescence/tests/testthat/test_analyse_SAR.CWOSL.R                 |  688 +++++--
 Luminescence-1.2.0/Luminescence/tests/testthat/test_analyse_SAR.TL.R                    |   72 
 Luminescence-1.2.0/Luminescence/tests/testthat/test_analyse_ThermochronometryData.R     |    4 
 Luminescence-1.2.0/Luminescence/tests/testthat/test_analyse_baSAR.R                     |  320 ++-
 Luminescence-1.2.0/Luminescence/tests/testthat/test_analyse_pIRIRSequence.R             |  191 --
 Luminescence-1.2.0/Luminescence/tests/testthat/test_analyse_portableOSL.R               |   84 
 Luminescence-1.2.0/Luminescence/tests/testthat/test_apply_EfficiencyCorrection.R        |   59 
 Luminescence-1.2.0/Luminescence/tests/testthat/test_as_latex_table.R                    |    2 
 Luminescence-1.2.0/Luminescence/tests/testthat/test_bin_RLumData.R                      |   17 
 Luminescence-1.2.0/Luminescence/tests/testthat/test_calc_AverageDose.R                  |   28 
 Luminescence-1.2.0/Luminescence/tests/testthat/test_calc_CentralDose.R                  |   10 
 Luminescence-1.2.0/Luminescence/tests/testthat/test_calc_CobbleDoseRate.R               |   27 
 Luminescence-1.2.0/Luminescence/tests/testthat/test_calc_CommonDose.R                   |   14 
 Luminescence-1.2.0/Luminescence/tests/testthat/test_calc_CosmicDoseRate.R               |   10 
 Luminescence-1.2.0/Luminescence/tests/testthat/test_calc_EED_Model.R                    |   14 
 Luminescence-1.2.0/Luminescence/tests/testthat/test_calc_FastRatio.R                    |    7 
 Luminescence-1.2.0/Luminescence/tests/testthat/test_calc_FiniteMixture.R                |    4 
 Luminescence-1.2.0/Luminescence/tests/testthat/test_calc_FuchsLang2001.R                |    8 
 Luminescence-1.2.0/Luminescence/tests/testthat/test_calc_HomogeneityTest.R              |    7 
 Luminescence-1.2.0/Luminescence/tests/testthat/test_calc_Lamothe2003.R                  |    6 
 Luminescence-1.2.0/Luminescence/tests/testthat/test_calc_MaxDose.R                      |   16 
 Luminescence-1.2.0/Luminescence/tests/testthat/test_calc_MinDose.R                      |   84 
 Luminescence-1.2.0/Luminescence/tests/testthat/test_calc_MoransI.R                      |    2 
 Luminescence-1.2.0/Luminescence/tests/testthat/test_calc_OSLLxTxDecomposed.R            |   23 
 Luminescence-1.2.0/Luminescence/tests/testthat/test_calc_OSLLxTxRatio.R                 |  369 ++-
 Luminescence-1.2.0/Luminescence/tests/testthat/test_calc_TLLxTxRatio.R                  |   89 
 Luminescence-1.2.0/Luminescence/tests/testthat/test_calc_ThermalLifetime.R              |    6 
 Luminescence-1.2.0/Luminescence/tests/testthat/test_calc_WodaFuchs2008.R                |    2 
 Luminescence-1.2.0/Luminescence/tests/testthat/test_calc_gSGC.R                         |    4 
 Luminescence-1.2.0/Luminescence/tests/testthat/test_calc_gSGC_feldspar.R                |    3 
 Luminescence-1.2.0/Luminescence/tests/testthat/test_combine_De_Dr.R                     |   16 
 Luminescence-1.2.0/Luminescence/tests/testthat/test_convert_Activity2Concentration.R    |    3 
 Luminescence-1.2.0/Luminescence/tests/testthat/test_convert_CW2pX.R                     |  101 -
 Luminescence-1.2.0/Luminescence/tests/testthat/test_convert_Concentration2DoseRate.R    |   36 
 Luminescence-1.2.0/Luminescence/tests/testthat/test_convert_Daybreak2CSV.R              |    4 
 Luminescence-1.2.0/Luminescence/tests/testthat/test_convert_PSL2CSV.R                   |    2 
 Luminescence-1.2.0/Luminescence/tests/testthat/test_convert_PSL2RisoeBINfiledata.R      |   16 
 Luminescence-1.2.0/Luminescence/tests/testthat/test_convert_RLum2Risoe.BINfileData.R    |   23 
 Luminescence-1.2.0/Luminescence/tests/testthat/test_convert_SG2MG.R                     |   44 
 Luminescence-1.2.0/Luminescence/tests/testthat/test_convert_Second2Gray.R               |    2 
 Luminescence-1.2.0/Luminescence/tests/testthat/test_convert_XSYG2CSV.R                  |    4 
 Luminescence-1.2.0/Luminescence/tests/testthat/test_correct_PMTLinearity.R              |   64 
 Luminescence-1.2.0/Luminescence/tests/testthat/test_extract_IrradiationTimes.R          |   29 
 Luminescence-1.2.0/Luminescence/tests/testthat/test_fit_CWCurve.R                       |   17 
 Luminescence-1.2.0/Luminescence/tests/testthat/test_fit_DoseResponseCurve.R             |    7 
 Luminescence-1.2.0/Luminescence/tests/testthat/test_fit_IsothermalHolding.R             |    2 
 Luminescence-1.2.0/Luminescence/tests/testthat/test_fit_LMCurve.R                       |   54 
 Luminescence-1.2.0/Luminescence/tests/testthat/test_fit_OSLLifeTimes.R                  |    6 
 Luminescence-1.2.0/Luminescence/tests/testthat/test_fit_SurfaceExposure.R               |   14 
 Luminescence-1.2.0/Luminescence/tests/testthat/test_internals.R                         |  263 ++
 Luminescence-1.2.0/Luminescence/tests/testthat/test_internals_Thermochronometry.R       |    8 
 Luminescence-1.2.0/Luminescence/tests/testthat/test_merge_RLum.Data.Spectrum.R          |    2 
 Luminescence-1.2.0/Luminescence/tests/testthat/test_merge_RLum.Results.R                |    2 
 Luminescence-1.2.0/Luminescence/tests/testthat/test_merge_Risoe.BINfileData.R           |   16 
 Luminescence-1.2.0/Luminescence/tests/testthat/test_methods_S3.R                        |    4 
 Luminescence-1.2.0/Luminescence/tests/testthat/test_names_RLum.R                        |    2 
 Luminescence-1.2.0/Luminescence/tests/testthat/test_normalise_RLum.R                    |only
 Luminescence-1.2.0/Luminescence/tests/testthat/test_plot_AbanicoPlot.R                  |   25 
 Luminescence-1.2.0/Luminescence/tests/testthat/test_plot_DRCSummary.R                   |   22 
 Luminescence-1.2.0/Luminescence/tests/testthat/test_plot_DRTResults.R                   |   29 
 Luminescence-1.2.0/Luminescence/tests/testthat/test_plot_DetPlot.R                      |  146 +
 Luminescence-1.2.0/Luminescence/tests/testthat/test_plot_DoseResponseCurve.R            |    4 
 Luminescence-1.2.0/Luminescence/tests/testthat/test_plot_GrowthCurve.R                  |   17 
 Luminescence-1.2.0/Luminescence/tests/testthat/test_plot_Histogram.R                    |    2 
 Luminescence-1.2.0/Luminescence/tests/testthat/test_plot_KDE.R                          |    2 
 Luminescence-1.2.0/Luminescence/tests/testthat/test_plot_NRt.R                          |   14 
 Luminescence-1.2.0/Luminescence/tests/testthat/test_plot_RLum.Analysis.R                |    6 
 Luminescence-1.2.0/Luminescence/tests/testthat/test_plot_RLum.Data.Curve.R              |    6 
 Luminescence-1.2.0/Luminescence/tests/testthat/test_plot_RLum.Data.Spectrum.R           |   37 
 Luminescence-1.2.0/Luminescence/tests/testthat/test_plot_RLum.R                         |   43 
 Luminescence-1.2.0/Luminescence/tests/testthat/test_plot_RLum.Results.R                 |    2 
 Luminescence-1.2.0/Luminescence/tests/testthat/test_plot_RadialPlot.R                   |   16 
 Luminescence-1.2.0/Luminescence/tests/testthat/test_plot_Risoe.BINfileData.R            |   11 
 Luminescence-1.2.0/Luminescence/tests/testthat/test_plot_ViolinPlot.R                   |    4 
 Luminescence-1.2.0/Luminescence/tests/testthat/test_read_BIN2R.R                        |   39 
 Luminescence-1.2.0/Luminescence/tests/testthat/test_read_BINXLOG2R.R                    |only
 Luminescence-1.2.0/Luminescence/tests/testthat/test_read_Daybreak2R.R                   |   48 
 Luminescence-1.2.0/Luminescence/tests/testthat/test_read_HeliosOSL2R.R                  |   11 
 Luminescence-1.2.0/Luminescence/tests/testthat/test_read_PSL2R.R                        |   57 
 Luminescence-1.2.0/Luminescence/tests/testthat/test_read_RF2R.R                         |   10 
 Luminescence-1.2.0/Luminescence/tests/testthat/test_read_SPE2R.R                        |   37 
 Luminescence-1.2.0/Luminescence/tests/testthat/test_read_TIFF2R.R                       |   14 
 Luminescence-1.2.0/Luminescence/tests/testthat/test_read_XSYG2R.R                       |   29 
 Luminescence-1.2.0/Luminescence/tests/testthat/test_remove_SignalBackground.R           |   23 
 Luminescence-1.2.0/Luminescence/tests/testthat/test_report_RLum.R                       |   12 
 Luminescence-1.2.0/Luminescence/tests/testthat/test_subset_RLum.R                       |   44 
 Luminescence-1.2.0/Luminescence/tests/testthat/test_subset_SingleGrainData.R            |   25 
 Luminescence-1.2.0/Luminescence/tests/testthat/test_trim_RLum.Data.R                    |    2 
 Luminescence-1.2.0/Luminescence/tests/testthat/test_use_DRAC.R                          |    7 
 Luminescence-1.2.0/Luminescence/tests/testthat/test_write_R2TIFF.R                      |    5 
 Luminescence-1.2.0/Luminescence/tests/testthat/test_write_RLum2CSV.R                    |    7 
 Luminescence-1.2.0/Luminescence/tests/testthat/test_zzz.R                               |    1 
 427 files changed, 10871 insertions(+), 7497 deletions(-)

More information about Luminescence at CRAN
Permanent link

Package hipread updated to version 0.2.6 with previous version 0.2.5 dated 2025-06-19

Title: Read Hierarchical Fixed Width Files
Description: Read hierarchical fixed width files like those commonly used by many census data providers. Also allows for reading of data in chunks, and reading 'gzipped' files without storing the full file in memory.
Author: Greg Freedman Ellis [aut], Derek Burk [aut, cre], Joe Grover [ctb], Mark Padgham [ctb], Hadley Wickham [ctb] , Jim Hester [ctb] , Romain Francois [ctb] , R Core Team [ctb] , RStudio [cph, fnd] , Jukka Jylaenki [ctb, cph] , Mikkel Joergensen [ctb, cph] [...truncated...]
Maintainer: Derek Burk <ipums+cran@umn.edu>

Diff between hipread versions 0.2.5 dated 2025-06-19 and 0.2.6 dated 2026-03-12

 DESCRIPTION   |    8 -
 MD5           |   10 +-
 NEWS.md       |    4 
 R/col_specs.R |  242 +++++++++++++++++++++++++++++-----------------------------
 man/hip_rt.Rd |    2 
 src/iconv.cpp |    2 
 6 files changed, 136 insertions(+), 132 deletions(-)

More information about hipread at CRAN
Permanent link

Package hce updated to version 0.9.1 with previous version 0.9.0 dated 2026-01-29

Title: Design and Analysis of Hierarchical Composite Endpoints
Description: Simulate and analyze hierarchical composite endpoints. Includes implementation for the kidney hierarchical composite endpoint as defined in Heerspink HL et al (2023) “Development and validation of a new hierarchical composite end point for clinical trials of kidney disease progression” (Journal of the American Society of Nephrology 34 (2): 2025–2038, <doi:10.1681/ASN.0000000000000243>). Win odds, also called Wilcoxon-Mann-Whitney or success odds, is the main analysis method. Other win statistics (win probability, win ratio, net benefit) are also implemented in the univariate case, provided there is no censoring. The win probability analysis is based on the Brunner-Munzel test and uses the DeLong-DeLong-Clarke-Pearson variance estimator, as described by Brunner and Konietschke (2025) in “An unbiased rank-based estimator of the Mann–Whitney variance including the case of ties” (Statistical Papers 66 (1): 20, <doi:10.1007/s00362-024-01635-0>). Includes implementation of a new [...truncated...]
Author: Samvel B. Gasparyan [aut, cre]
Maintainer: Samvel B. Gasparyan <gasparyan.co@gmail.com>

Diff between hce versions 0.9.0 dated 2026-01-29 and 0.9.1 dated 2026-03-12

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Package epiworldR updated to version 0.13.0.0 with previous version 0.12.0.0 dated 2026-02-21

Title: Fast Agent-Based Epi Models
Description: A flexible framework for Agent-Based Models (ABM), the 'epiworldR' package provides methods for prototyping disease outbreaks and transmission models using a 'C++' backend, making it very fast. It supports multiple epidemiological models, including the Susceptible-Infected-Susceptible (SIS), Susceptible-Infected-Removed (SIR), Susceptible-Exposed-Infected-Removed (SEIR), and others, involving arbitrary mitigation policies and multiple-disease models. Users can specify infectiousness/susceptibility rates as a function of agents' features, providing great complexity for the model dynamics. Furthermore, 'epiworldR' is ideal for simulation studies featuring large populations.
Author: George Vega Yon [aut, cre] , Derek Meyer [aut] , Andrew Pulsipher [aut] , Susan Holmes [rev] , Abinash Satapathy [rev] , Carinogurjao [rev], Centers for Disease Control and Prevention [fnd]
Maintainer: George Vega Yon <g.vegayon@gmail.com>

Diff between epiworldR versions 0.12.0.0 dated 2026-02-21 and 0.13.0.0 dated 2026-03-12

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Package lpda updated to version 1.2.3 with previous version 1.2.2 dated 2025-10-27

Title: Linear Programming Discriminant Analysis
Description: Classification method obtained through linear programming. It is advantageous with respect to the classical developments when the distribution of the variables involved is unknown or when the number of variables is much greater than the number of individuals. Mathematical details behind the method are published in Nueda, et al. (2022) "LPDA: A new classification method based on linear programming". <doi:10.1371/journal.pone.0270403>.
Author: Maria Jose Nueda [aut, cre]
Maintainer: Maria Jose Nueda <mj.nueda@ua.es>

Diff between lpda versions 1.2.2 dated 2025-10-27 and 1.2.3 dated 2026-03-12

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Package tvReg updated to version 0.5.10 with previous version 0.5.9 dated 2023-09-01

Title: Time-Varying Coefficient for Single and Multi-Equation Regressions
Description: Fitting time-varying coefficient models for single and multi-equation regressions, using kernel smoothing techniques.
Author: Isabel Casas [aut, cre], Ruben Fernandez-Casal [aut]
Maintainer: Isabel Casas <casasis@gmail.com>

Diff between tvReg versions 0.5.9 dated 2023-09-01 and 0.5.10 dated 2026-03-12

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Package stratallo updated to version 3.0.1 with previous version 3.0.0 dated 2026-03-12

Title: Optimum Sample Allocation in Stratified Sampling
Description: Provides exact analytical algorithms for computing optimum sample allocations in stratified sampling. Supports classical Neyman-Tschuprow allocation, minimum-cost allocation under a variance constraint, and multi-domain allocation with controlled precision. Handles lower and upper bounds, cost constraints, and multiple domains. Includes helper functions for variance computation, allocation summaries, rounding, and example datasets for testing and benchmarking.
Author: Wojciech Wojciak [aut, cre], Jacek Wesolowski [sad], Robert Wieczorkowski [ctb]
Maintainer: Wojciech Wojciak <wojciech.wojciak@gmail.com>

Diff between stratallo versions 3.0.0 dated 2026-03-12 and 3.0.1 dated 2026-03-12

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Package pmrm updated to version 0.0.3 with previous version 0.0.2 dated 2026-01-30

Title: Progression Models for Repeated Measures
Description: A progression model for repeated measures (PMRM) is a continuous-time nonlinear mixed-effects model for longitudinal clinical trials in progressive diseases. Unlike mixed models for repeated measures (MMRMs), which estimate treatment effects as linear combinations of additive effects on the outcome scale, PMRMs characterize treatment effects in terms of the underlying disease trajectory. This framing yields clinically interpretable quantities such as average time saved and percent reduction in decline due to treatment. This package implements frequentist PMRMs by Raket (2022) <doi:10.1002/sim.9581> using 'RTMB' by Kristensen (2016) <doi:10.18637/jss.v070.i05>.
Author: William Michael Landau [aut, cre] , Lars Lau Raket [aut] , Kasper Kristensen [aut] , Eli Lilly and Company [cph, fnd]
Maintainer: William Michael Landau <will.landau.oss@gmail.com>

Diff between pmrm versions 0.0.2 dated 2026-01-30 and 0.0.3 dated 2026-03-12

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Package OSLdecomposition updated to version 1.2 with previous version 1.1.0 dated 2025-08-31

Title: Signal Component Analysis for Optically Stimulated Luminescence
Description: Function library for the identification and separation of exponentially decaying signal components in continuous-wave optically stimulated luminescence measurements. A special emphasis is laid on luminescence dating with quartz, which is known for systematic errors due to signal components with unequal physical behaviour. Also, this package enables an easy to use signal decomposition of data sets imported and analysed with the R package 'Luminescence'. This includes the optional automatic creation of HTML reports. Further information and tutorials can be found at <https://luminescence.de>.
Author: Dirk Mittelstrass [aut, cre] , Sebastian Kreutzer [aut] , Christoph Schmidt [aut] , Marco Colombo [aut] , Jan Beyer [ths] , Johannes Heitmann [ths], Arno Straessner [ths]
Maintainer: Dirk Mittelstrass <dirk.mittelstrass@luminescence.de>

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Package MMAD updated to version 2.0.1 with previous version 2.0 dated 2025-11-26

Title: An R Package of Minorization-Maximization Algorithm via the Assembly--Decomposition Technology
Description: The minorization-maximization (MM) algorithm is a powerful tool for maximizing nonconcave target function. However, for most existing MM algorithms, the surrogate function in the minorization step is constructed in a case-specific manner and requires manual programming. To address this limitation, we develop the R package MMAD, which systematically integrates the assembly--decomposition technology in the MM framework. This new package provides a comprehensive computational toolkit for one-stop inference of complex target functions, including function construction, evaluation, minorization and optimization via MM algorithm. By representing the target function through a hierarchical composition of assembly functions, we design a hierarchical algorithmic structure that supports both bottom-up operations (construction, evaluation) and top-down operation (minorization).
Author: Xifen Huang [aut], Jinfeng Xu [aut], Jiaqi Gu [aut, cre]
Maintainer: Jiaqi Gu <jiaqigu@usf.edu>

Diff between MMAD versions 2.0 dated 2025-11-26 and 2.0.1 dated 2026-03-12

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Package CopernicusMarine updated to version 0.4.5 with previous version 0.4.4 dated 2026-02-26

Title: Search Download and Handle Data from Copernicus Marine Service Information
Description: Subset and download data from EU Copernicus Marine Service Information: <https://data.marine.copernicus.eu>. Import data on the oceans physical and biogeochemical state from Copernicus into R without the need of external software.
Author: Pepijn de Vries [aut, cre, dtc]
Maintainer: Pepijn de Vries <pepijn.devries@outlook.com>

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Package esci updated to version 1.0.10 with previous version 1.0.9 dated 2026-01-16

Title: Estimation Statistics with Confidence Intervals
Description: A collection of functions and 'jamovi' module for the estimation approach to inferential statistics, the approach which emphasizes effect sizes, interval estimates, and meta-analysis. Nearly all functions are based on 'statpsych' and 'metafor'. This package is still under active development, and breaking changes are likely, especially with the plot and hypothesis test functions. Data sets are included for all examples from Cumming & Calin-Jageman (2024) <ISBN:9780367531508>.
Author: Robert Calin-Jageman [aut, cre, cph]
Maintainer: Robert Calin-Jageman <rcalinjageman@dom.edu>

Diff between esci versions 1.0.9 dated 2026-01-16 and 1.0.10 dated 2026-03-12

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Package yuimaGUI updated to version 1.4.0 with previous version 1.3.1 dated 2022-08-11

Title: A Graphical User Interface for the 'yuima' Package
Description: Provides a graphical user interface for the 'yuima' package.
Author: YUIMA Project Team [aut], Emanuele Guidotti [cre]
Maintainer: Emanuele Guidotti <emanuele.guidotti@usi.ch>

Diff between yuimaGUI versions 1.3.1 dated 2022-08-11 and 1.4.0 dated 2026-03-12

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Package picasso updated to version 1.5 with previous version 1.4.1 dated 2026-03-10

Title: Sparse Learning with Convex and Concave Penalties
Description: Fast tools for fitting sparse generalized linear models with convex penalties (lasso) and concave penalties (smoothly clipped absolute deviation and minimax concave penalty). Computation uses multi-stage convex relaxation and pathwise coordinate optimization with warm starts, active-set updates, and screening rules. Core solvers are implemented in C++, and coefficient paths are stored as sparse matrices for memory efficiency.
Author: Jason Ge [aut], Xingguo Li [aut], Haoming Jiang [aut], Mengdi Wang [aut], Tong Zhang [aut], Han Liu [aut], Tuo Zhao [aut, cre], Gael Guennebaud [ctb] , Benoit Jacob [ctb] , Eigen Library Authors [cph]
Maintainer: Tuo Zhao <tourzhao@gatech.edu>

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Package FoReco updated to version 1.2.0 with previous version 1.1.0 dated 2025-06-07

Title: Forecast Reconciliation
Description: Classical (bottom-up and top-down), optimal combination and heuristic point (Di Fonzo and Girolimetto, 2023 <doi:10.1016/j.ijforecast.2021.08.004>) and probabilistic (Girolimetto et al. 2024 <doi:10.1016/j.ijforecast.2023.10.003>) forecast reconciliation procedures for linearly constrained time series (e.g., hierarchical or grouped time series) in cross-sectional, temporal, or cross-temporal frameworks.
Author: Daniele Girolimetto [aut, cre] , Tommaso Di Fonzo [aut] , Yangzhuoran Fin Yang [ctb]
Maintainer: Daniele Girolimetto <daniele.girolimetto@unipd.it>

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Package cmtkr updated to version 0.2.3 with previous version 0.2.2 dated 2026-03-08

Title: Wrapper for the Computational Morphometry Toolkit ('CMTK') Library
Description: Provides R bindings for selected components of the Computational Morphometry Toolkit ('CMTK') for image registration and point transformation. A subset of the 'C++' source code required for point transforms is bundled with 'cmtkr'. This allows direct calls into the 'CMTK' library, avoiding command-line invocations and providing order-of-magnitude speed improvements. Additional 'CMTK' functionality may be wrapped in future releases. 'CMTK' is described in Rohlfing T and Maurer CR (2003) <doi:10.1109/titb.2003.808506>.
Author: Gregory Jefferis [aut, cre] , Torsten Rohlfing [aut] ), SRI International [cph] , Google, Inc. [cph]
Maintainer: Gregory Jefferis <jefferis@gmail.com>

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Package VertexWiseR updated to version 1.5.0 with previous version 1.4.5 dated 2025-12-15

Title: Simplified Vertex-Wise Analyses of Whole-Brain and Hippocampal Surface
Description: Provides functions to run statistical analyses on surface-based neuroimaging data, computing measures including cortical thickness and surface area of the whole-brain and of the hippocampi. It can make use of 'FreeSurfer', 'fMRIprep', 'XCP-D', 'HCP' and 'CAT12' preprocessed datasets, 'HippUnfold' hippocampal outputs and 'SubCortexMesh' subcortical outputs for a given sample by restructuring the data values into a single file. The single file can then be used by the package for analyses independently from its base dataset and without need for its access.
Author: Junhong Yu [aut] , Charly Billaud [aut, cre]
Maintainer: Charly Billaud <charly.billaud@ntu.edu.sg>

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Package fitzRoy updated to version 1.7.0 with previous version 1.6.0 dated 2024-12-10

Title: Easily Scrape and Process AFL Data
Description: An easy package for scraping and processing Australia Rules Football (AFL) data. 'fitzRoy' provides a range of functions for accessing publicly available data from 'AFL Tables' <https://afltables.com/afl/afl_index.html>, 'Footy Wire' <https://www.footywire.com> and 'The Squiggle' <https://squiggle.com.au>. Further functions allow for easy processing, cleaning and transformation of this data into formats that can be used for analysis.
Author: James Day [cre, aut], Robert Nguyen [aut], Matthew Erbs [ctb], Oscar Lane [aut], Jason Zivkovic [ctb], Jacob Holden [ctb]
Maintainer: James Day <jamesthomasday@gmail.com>

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Package scam updated to version 1.2-22 with previous version 1.2-21 dated 2026-01-22

Title: Shape Constrained Additive Models
Description: Generalized additive models under shape constraints on the component functions of the linear predictor. Models can include multiple shape-constrained (univariate and bivariate) and unconstrained terms. Routines of the package 'mgcv' are used to set up the model matrix, print, and plot the results. Multiple smoothing parameter estimation by the Generalized Cross Validation or similar. See Pya and Wood (2015) <doi:10.1007/s11222-013-9448-7> for an overview. A broad selection of shape-constrained smoothers, linear functionals of smooths with shape constraints, and Gaussian models with AR1 residuals.
Author: Natalya Pya [aut, cre]
Maintainer: Natalya Pya <nat.pya@gmail.com>

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Package RcppBDT updated to version 0.2.8 with previous version 0.2.7 dated 2025-01-25

Title: 'Rcpp' Bindings for the Boost Date_Time Library
Description: Access to Boost Date_Time functionality for dates, durations (both for days and date time objects), time zones, and posix time ('ptime') is provided by using 'Rcpp modules'. The posix time implementation can support high-resolution of up to nano-second precision by using 96 bits (instead of 64 with R) to present a 'ptime' object (but this needs recompilation with a #define set).
Author: Dirk Eddelbuettel [aut, cre] , Romain Francois [aut]
Maintainer: Dirk Eddelbuettel <edd@debian.org>

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New package stacr with initial version 0.1.0
Package: stacr
Title: Tidy 'STAC' Workflows for R
Version: 0.1.0
Description: Wraps the 'rstac' package with a pipe-friendly, tidy API. All results return 'tibbles' instead of nested lists. Ships with a catalog registry of known 'STAC' endpoints including Planetary Computer, Earth Search, and 'USGS', while supporting any 'STAC' API URL.
License: MIT + file LICENSE
URL: https://github.com/null-island-labs/stacr
BugReports: https://github.com/null-island-labs/stacr/issues
Depends: R (>= 4.1.0)
Imports: rstac, tibble, cli
Suggests: gdalcubes, jsonlite, leaflet, sf, testthat (>= 3.0.0), withr, knitr, rmarkdown
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-08 18:32:11 UTC; chrislyons
Author: Chris Lyons [aut, cre, cph]
Maintainer: Chris Lyons <chrislyons@nullislandlabs.dev>
Repository: CRAN
Date/Publication: 2026-03-12 09:10:02 UTC

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Package disordR updated to version 0.9-8-6 with previous version 0.9-8-5 dated 2025-11-03

Title: Non-Ordered Vectors
Description: Functionality for manipulating values of associative maps. The package is a dependency for mvp-type packages that use the STL map class: it traps plausible idiom that is ill-defined (implementation-specific) and returns an informative error, rather than returning a possibly incorrect result. To cite the package in publications please use Hankin (2022) <doi:10.48550/ARXIV.2210.03856>.
Author: Robin K. S. Hankin [aut, cre]
Maintainer: Robin K. S. Hankin <hankin.robin@gmail.com>

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New package xtpqardl with initial version 1.0.1
Package: xtpqardl
Title: Panel Quantile Autoregressive Distributed Lag Model
Version: 1.0.1
Date: 2026-02-20
Description: Estimation of Panel Quantile Autoregressive Distributed Lag (PQARDL) models that combine panel ARDL methodology with quantile regression. Supports Pooled Mean Group (PMG), Mean Group (MG), and Dynamic Fixed Effects (DFE) estimators across multiple quantiles. Computes long-run cointegrating parameters, error correction term speed of adjustment, half-life of adjustment, and performs Wald tests for parameter equality across quantiles. Based on the econometric frameworks of Pesaran, Shin, and Smith (1999) <doi:10.1080/01621459.1999.10474156>, Cho, Kim, and Shin (2015) <doi:10.1016/j.jeconom.2015.02.030>, and Bildirici and Kayikci (2022) <doi:10.1016/j.energy.2022.124303>.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
Imports: stats, quantreg
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-03-07 13:56:08 UTC; acad_
Author: Muhammad Alkhalaf [aut, cre, cph] , Merwan Roudane [ctb]
Maintainer: Muhammad Alkhalaf <muhammedalkhalaf@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-12 08:10:03 UTC

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New package xtdhcoint with initial version 1.0.1
Package: xtdhcoint
Title: Durbin-Hausman Panel Cointegration Tests
Version: 1.0.1
Date: 2026-03-07
Description: Implements the Durbin-Hausman panel cointegration tests of Westerlund (2008) <doi:10.1002/jae.963>. The tests are robust to cross-sectional dependence through common factor extraction using principal components. Provides both group-mean (DHg) and panel (DHp) test statistics with automatic factor number selection via information criteria.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
Imports: stats
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
URL: https://github.com/muhammedalkhalaf/xtdhcoint
BugReports: https://github.com/muhammedalkhalaf/xtdhcoint/issues
NeedsCompilation: no
Packaged: 2026-03-08 10:16:40 UTC; acad_
Author: Muhammad Alkhalaf [aut, cre, cph] , Merwan Roudane [ctb] , Joakim Westerlund [ctb]
Maintainer: Muhammad Alkhalaf <muhammedalkhalaf@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-12 08:30:02 UTC

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New package wstats with initial version 0.1.1
Package: wstats
Title: Weighted Descriptive Statistics
Version: 0.1.1
Description: Weighted versions of common descriptive statistics (variance, standard deviation, covariance, correlation, quantiles).
License: MIT + file LICENSE
Encoding: UTF-8
Imports: glue, rlang
Suggests: pkgdown, testthat (>= 3.0.0)
LinkingTo: cpp11
NeedsCompilation: yes
Packaged: 2026-03-07 21:51:04 UTC; jgaeb
Author: Johann D. Gaebler [aut, cre]
Maintainer: Johann D. Gaebler <me@jgaeb.com>
Repository: CRAN
Date/Publication: 2026-03-12 08:20:02 UTC

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Package TriLLIEM updated to version 0.1.1 with previous version 0.1.0 dated 2026-03-05

Title: Log-Linear Modelling of Triad Genotype Data
Description: Triad Log-Linear modelling of Imprinting Environmental interactions, and Maternal effects (TriLLIEM). This is an implementation of the log-linear model described in a series of papers, see for example Ainsworth et al. (2010) <doi:10.1002/gepi.20547>.
Author: Kevin Heda Zhao [aut, cre], Kelly Burkett [aut]
Maintainer: Kevin Heda Zhao <trilliemmaintainer@gmail.com>

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Package stratallo updated to version 3.0.0 with previous version 2.2.1 dated 2023-11-26

Title: Optimum Sample Allocation in Stratified Sampling
Description: Provides exact analytical algorithms for computing optimum sample allocations in stratified sampling. Supports classical Neyman-Tschuprow allocation, minimum-cost allocation under a variance constraint, and multi-domain allocation with controlled precision. Handles lower and upper bounds, cost constraints, and multiple domains. Includes helper functions for variance computation, allocation summaries, rounding, and example datasets for testing and benchmarking.
Author: Wojciech Wojciak [aut, cre], Jacek Wesolowski [sad], Robert Wieczorkowski [ctb]
Maintainer: Wojciech Wojciak <wojciech.wojciak@gmail.com>

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Package SQUAREM updated to version 2026.1 with previous version 2021.1 dated 2021-01-13

Title: Squared Extrapolation Methods for Accelerating EM-Like Monotone Algorithms
Description: Algorithms for accelerating the convergence of slow, monotone sequences from smooth, contraction mappings such as the EM algorithm. It can be used to accelerate any smooth, linearly convergent scheme. A tutorial-style introduction is available in vignette("SQUAREM"). See also: Varadhan & Roland (2008) <doi:10.18637/jss.v092.i07>.
Author: Ravi Varadhan [aut, cre]
Maintainer: Ravi Varadhan <ravi.varadhan@jhu.edu>

Diff between SQUAREM versions 2021.1 dated 2021-01-13 and 2026.1 dated 2026-03-12

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Package SHARK4R updated to version 1.1.1 with previous version 1.1.0 dated 2026-03-09

Title: Accessing and Validating Marine Environmental Data from 'SHARK' and Related Databases
Description: Provides functions to retrieve, process, analyze, and quality-control marine physical, chemical, and biological data. The main focus is on Swedish monitoring data available through the 'SHARK' database <https://shark.smhi.se/en/>, with additional API support for 'Nordic Microalgae' <https://nordicmicroalgae.org/>, 'Dyntaxa' <https://artfakta.se/>, World Register of Marine Species ('WoRMS') <https://www.marinespecies.org>, 'AlgaeBase' <https://www.algaebase.org>, OBIS 'xylookup' web service <https://iobis.github.io/xylookup/> and Intergovernmental Oceanographic Commission (IOC) - UNESCO databases on harmful algae <https://www.marinespecies.org/hab/> and toxins <https://toxins.hais.ioc-unesco.org/>.
Author: Markus Lindh [aut] , Anders Torstensson [aut, cre] , Mikael Hedblom [ctb] , Bengt Karlson [ctb] , SHARK [cph], SBDI [fnd]
Maintainer: Anders Torstensson <anders.torstensson@smhi.se>

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New package rMIDAS2 with initial version 0.1.1
Package: rMIDAS2
Title: Multiple Imputation with 'MIDAS2' Denoising Autoencoders
Version: 0.1.1
Description: Fits 'MIDAS' denoising autoencoder models for multiple imputation of missing data, generates multiply-imputed datasets, computes imputation means, and runs Rubin's rules regression analysis. Wraps the 'MIDAS2' 'Python' engine via a local 'FastAPI' server over 'HTTP', so no 'reticulate' dependency is needed at runtime. Methods are described in Lall and Robinson (2022) <doi:10.1017/pan.2020.49> and Lall and Robinson (2023) <doi:10.18637/jss.v107.i09>.
License: MIT + file LICENSE
URL: https://github.com/MIDASverse/MIDAS2
BugReports: https://github.com/MIDASverse/MIDAS2/issues
Depends: R (>= 4.1.0)
Encoding: UTF-8
SystemRequirements: Python (>= 3.9) with the 'midasverse-midas-api' package
Imports: curl, httr2 (>= 1.0.0), processx (>= 3.8.0), rlang (>= 1.1.0)
Suggests: arrow, jsonlite, reticulate, testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-08 10:22:49 UTC; t.robinson7
Author: Thomas Robinson [aut, cre], Ranjit Lall [aut]
Maintainer: Thomas Robinson <t.robinson7@lse.ac.uk>
Repository: CRAN
Date/Publication: 2026-03-12 08:30:08 UTC

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New package readoecd with initial version 0.3.0
Package: readoecd
Title: Download and Tidy Data from the OECD
Version: 0.3.0
Description: Provides clean, tidy access to key economic indicators published by the Organisation for Economic Co-operation and Development (OECD), covering GDP, CPI inflation, unemployment, tax revenue, government deficit, health expenditure, education expenditure, income inequality, labour productivity, and current account balance across all 38 OECD member countries. Data is downloaded from the OECD Data Explorer API <https://data-explorer.oecd.org> on first use and cached locally for subsequent calls. Returns tidy long-format data frames ready for analysis and visualisation.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-GB
URL: https://github.com/charlescoverdale/readoecd
BugReports: https://github.com/charlescoverdale/readoecd/issues
Depends: R (>= 4.1.0)
Imports: httr2, cli
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-03-07 18:57:32 UTC; charlescoverdale
Author: Charles Coverdale [aut, cre]
Maintainer: Charles Coverdale <charlesfcoverdale@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-12 08:10:09 UTC

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New package ons with initial version 0.1.0
Package: ons
Title: Download Data from the Office for National Statistics
Version: 0.1.0
Description: Provides functions to download and tidy statistical data published by the Office for National Statistics <https://www.ons.gov.uk>. Covers GDP, inflation (CPI, CPIH, RPI), unemployment, employment, wages, trade, retail sales, house prices, productivity, population, and public sector finances. Most series are fetched from the ONS website using its CSV time series endpoint. House price data is sourced from HM Land Registry <https://www.gov.uk/government/organisations/land-registry>. Data is cached locally between sessions.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-GB
Imports: cli (>= 3.6.0), httr2 (>= 1.0.0), tools
Suggests: testthat (>= 3.0.0)
URL: https://github.com/charlescoverdale/ons
BugReports: https://github.com/charlescoverdale/ons/issues
Depends: R (>= 4.1.0)
NeedsCompilation: no
Packaged: 2026-03-08 18:34:01 UTC; charlescoverdale
Author: Charles Coverdale [aut, cre]
Maintainer: Charles Coverdale <charlesfcoverdale@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-12 09:00:02 UTC

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Package MPGE updated to version 1.0.1 with previous version 1.0.0 dated 2020-10-23

Title: A Two-Step Approach to Testing Overall Effect of Gene-Environment Interaction for Multiple Phenotypes
Description: Interaction between a genetic variant (e.g., a single nucleotide polymorphism) and an environmental variable (e.g., physical activity) can have a shared effect on multiple phenotypes (e.g., blood lipids). We implement a two-step method to test for an overall interaction effect on multiple phenotypes. In first step, the method tests for an overall marginal genetic association between the genetic variant and the multivariate phenotype. The genetic variants which show an evidence of marginal overall genetic effect in the first step are prioritized while testing for an overall gene-environment interaction effect in the second step. Methodology is available from: A Majumdar, KS Burch, T Haldar, S Sankararaman, B Pasaniuc, WJ Gauderman, JS Witte (2020) <doi:10.1093/bioinformatics/btaa1083>.
Author: Arunabha Majumdar [aut, cre], Tanushree Haldar [aut]
Maintainer: Arunabha Majumdar <statgen.arunabha@gmail.com>

Diff between MPGE versions 1.0.0 dated 2020-10-23 and 1.0.1 dated 2026-03-12

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 27 files changed, 350 insertions(+), 307 deletions(-)

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New package lmmprobe with initial version 0.1.0
Package: lmmprobe
Title: Sparse High-Dimensional Linear Mixed Modeling with a Partitioned Empirical Bayes ECM Algorithm
Version: 0.1.0
Date: 2026-02-27
Description: Implements a partitioned Empirical Bayes Expectation Conditional Maximization (ECM) algorithm for sparse high-dimensional linear mixed modeling as described in Zgodic, Bai, Zhang, and McLain (2025) <doi:10.1007/s11222-025-10649-z>. The package provides efficient estimation and inference for mixed models with high-dimensional fixed effects.
License: GPL (>= 2)
URL: https://github.com/anjazgodic/lmmprobe
BugReports: https://github.com/anjazgodic/lmmprobe/issues
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: Rcpp (>= 1.0.8.3), lme4 (>= 1.1-29), future.apply (>= 1.10.0)
LinkingTo: Rcpp, RcppArmadillo
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, MASS
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-03-08 16:13:58 UTC; peter
Author: Anja Zgodic [aut, cre], Ray Bai [aut] , Jiajia Zhang [aut] , Alex McLain [aut] , Peter Olejua [aut]
Maintainer: Anja Zgodic <anja.zgodic@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-12 09:00:09 UTC

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New package INCVCommunityDetection with initial version 0.1.0
Package: INCVCommunityDetection
Title: Inductive Node-Splitting Cross-Validation for Community Detection
Version: 0.1.0
Description: Implements Inductive Node-Splitting Cross-Validation (INCV) for selecting the number of communities in stochastic block models. Provides f-fold and random-split node-level cross-validation, along with competing methods including CROISSANT, Edge Cross-Validation (ECV), and Node Cross-Validation (NCV). Supports both SBM and Degree-Corrected Block Models (DCBM), with multiple loss functions (L2, binomial deviance, AUC). Includes network simulation utilities for SBM, RDPG, and latent space models.
URL: https://github.com/ivylinzhang97/incv-community-detection
BugReports: https://github.com/ivylinzhang97/incv-community-detection/issues
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: methods, Matrix, RSpectra, ClusterR, irlba, parallel, cluster, Rfast, data.table, IMIFA, stats
Suggests: latentnet, network, rdist, igraph, testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-07 18:02:22 UTC; linzhang
Author: Lin Zhang [aut, cre], Bokai Yang [aut]
Maintainer: Lin Zhang <linzhang1126@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-12 08:10:15 UTC

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New package hmrc with initial version 0.3.0
Package: hmrc
Title: Download and Tidy HMRC Statistical Data
Version: 0.3.0
Description: Provides functions to download, parse, and tidy statistical data published by HM Revenue and Customs (HMRC) on GOV.UK. Covers monthly tax receipts (41 tax heads from 2016), VAT (from 1973), fuel duties (from 1990), tobacco duties (from 1991), annual Corporation Tax receipts, stamp duty, research and development tax credit statistics (from 2000), tax gap estimates, Income Tax liabilities by income range, and monthly property transaction counts. File URLs are resolved at runtime via the GOV.UK Content API <https://www.gov.uk/api/content>, so data is always current without hardcoded URLs. Files are cached locally between sessions.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-GB
Imports: cli (>= 3.6.0), httr2 (>= 1.0.0), readODS (>= 2.3.0), readxl (>= 1.4.0), tools
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), ggplot2, scales
VignetteBuilder: knitr
URL: https://github.com/charlescoverdale/hmrc
BugReports: https://github.com/charlescoverdale/hmrc/issues
Depends: R (>= 4.1.0)
LazyData: true
NeedsCompilation: no
Packaged: 2026-03-08 15:30:25 UTC; charlescoverdale
Author: Charles Coverdale [aut, cre]
Maintainer: Charles Coverdale <charlesfcoverdale@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-12 08:50:02 UTC

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Package healthiar updated to version 0.2.4 with previous version 0.2.3 dated 2026-02-19

Title: Quantifying and Monetizing Health Impacts Attributable to Exposure
Description: This R package has been developed with a focus on air pollution and noise but can be applied to other exposures. The initial development has been funded by the European Union project BEST-COST. Disclaimer: It is work in progress and the developers are not liable for any calculation errors or inaccuracies resulting from the use of this package. Selection of relevant references (in chronological order): WHO (2003) <https://www.who.int/publications/i/item/9241546204>, Murray et al. (2003) <doi:10.1186/1478-7954-1-1>, Miller & Hurley (2003) <doi:10.1136/jech.57.3.200>, Steenland & Armstrong (2006) <doi:10.1097/01.ede.0000229155.05644.43>, WHO (2011) <https://iris.who.int/items/723ab97c-5c33-4e3b-8df1-744aa5bc1c27>, GBD 2019 Risk Factors Collaborators (2020) <doi:10.1016/S0140-6736(20)30752-2>.
Author: Alberto Castro [cre, aut] , Axel Luyten [aut] , Arno Pauwels [ctb] , Liliana Vazquez Fernandez [ctb] , Gianni Ardielli [ctb] , Iracy Pimenta [ctb] , Susanne Breitner [ctb] , Carl Baravelli [ctb] , Vanessa Gorasso [ctb] , Maria Lepnurm [ctb] , Andreia [...truncated...]
Maintainer: Alberto Castro <alberto.castrofernandez@swisstph.ch>

Diff between healthiar versions 0.2.3 dated 2026-02-19 and 0.2.4 dated 2026-03-12

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New package fbardl with initial version 1.0.2
Package: fbardl
Title: Fourier Bootstrap ARDL Cointegration Test
Version: 1.0.2
Description: Implements the Fourier Bootstrap Autoregressive Distributed Lag (FBARDL) bounds testing approach for cointegration analysis. Combines the Pesaran, Shin & Smith (2001) <doi:10.1002/jae.616> ARDL bounds testing framework with Fourier terms to capture structural breaks following Yilanci, Bozoklu & Gorus (2020) <doi:10.1080/00036846.2019.1686454>, and bootstrap critical values based on McNown, Sam & Goh (2018) <doi:10.1080/00036846.2017.1366643> and Bertelli, Vacca & Zoia (2022) <doi:10.1016/j.econmod.2022.105987>. Features include automatic lag selection via AIC/BIC, optimal Fourier frequency selection by minimum SSR, long-run and short-run coefficient estimation, diagnostic tests, and dynamic multiplier analysis.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: stats
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
LazyData: true
URL: https://github.com/muhammedalkhalaf/fbardl
BugReports: https://github.com/muhammedalkhalaf/fbardl/issues
NeedsCompilation: no
Packaged: 2026-03-08 11:05:20 UTC; acad_
Author: Muhammad Alkhalaf [aut, cre, cph] , Merwan Roudane [ctb]
Maintainer: Muhammad Alkhalaf <muhammedalkhalaf@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-12 08:40:02 UTC

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Package dartR.base updated to version 1.2.2 with previous version 1.0.7 dated 2025-10-01

Title: Analysing 'SNP' and 'Silicodart' Data - Basic Functions
Description: Facilitates the import and analysis of 'SNP' (single nucleotide 'polymorphism') and 'silicodart' (presence/absence) data. The main focus is on data generated by 'DarT' (Diversity Arrays Technology), however, data from other sequencing platforms can be used once 'SNP' or related fragment presence/absence data from any source is imported. Genetic datasets are stored in a derived 'genlight' format (package 'adegenet'), that allows for a very compact storage of data and metadata. Functions are available for importing and exporting of 'SNP' and 'silicodart' data, for reporting on and filtering on various criteria (e.g. 'callrate', 'heterozygosity', 'reproducibility', maximum allele frequency). Additional functions are available for visualization (e.g. Principle Coordinate Analysis) and creating a spatial representation using maps. 'dartR.base' is the 'base' package of the 'dartRverse' suits of packages. To install the other packages, we recommend to install the 'dartRverse' package, that su [...truncated...]
Author: Bernd Gruber [aut, cre], Arthur Georges [aut], Jose L. Mijangos [aut], Carlo Pacioni [aut], Diana Robledo-Ruiz [aut], Peter J. Unmack [ctb], Oliver Berry [ctb], Lindsay V. Clark [ctb], Emily Stringer [ctb], Floriaan Devloo-Delva [ctb], Eric Archer [c [...truncated...]
Maintainer: Bernd Gruber <bernd.gruber@canberra.edu.au>

Diff between dartR.base versions 1.0.7 dated 2025-10-01 and 1.2.2 dated 2026-03-12

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More information about dartR.base at CRAN
Permanent link

New package boe with initial version 0.1.0
Package: boe
Title: Download Data from the Bank of England Statistical Database
Version: 0.1.0
Description: Provides functions to download and tidy statistical data published by the Bank of England <https://www.bankofengland.co.uk>. Covers Bank Rate, SONIA, gilt yields, exchange rates, mortgage rates, mortgage approvals, consumer credit, and money supply. Series are fetched from the Bank of England Interactive Statistical Database using its CSV endpoint. Data is cached locally between sessions.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-GB
Imports: cli (>= 3.6.0), httr2 (>= 1.0.0), tools
Suggests: testthat (>= 3.0.0), ggplot2, scales
URL: https://github.com/charlescoverdale/boe
BugReports: https://github.com/charlescoverdale/boe/issues
Depends: R (>= 4.1.0)
NeedsCompilation: no
Packaged: 2026-03-08 17:24:20 UTC; charlescoverdale
Author: Charles Coverdale [aut, cre]
Maintainer: Charles Coverdale <charlesfcoverdale@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-12 09:00:23 UTC

More information about boe at CRAN
Permanent link

New package tempodisco with initial version 2.1.0
Package: tempodisco
Title: Temporal Discounting Models
Description: Tools for working with temporal discounting data, designed for behavioural researchers to simplify data cleaning/scoring and model fitting. The package implements widely used methods such as computing indifference points from adjusting amount task (Frye et al., 2016, <doi:10.3791/53584>), testing for non-systematic discounting per the criteria of Johnson & Bickel (2008, <doi:10.1037/1064-1297.16.3.264>), scoring questionnaires according to the methods of Kirby et al. (1999, <doi:10.1037//0096-3445.128.1.78>) and Wileyto et al (2004, <doi:10.3758/BF03195548>), Bayesian model selection using a range of discount functions (Franck et al., 2015, <doi:10.1002/jeab.128>), drift diffusion models of discounting (Peters & D'Esposito, 2020, <doi:10.1371/journal.pcbi.1007615>), and model-agnostic measures of discounting such as area under the curve (Myerson et al., 2001, <doi:10.1901/jeab.2001.76-235>) and ED50 (Yoon & Higgins, 2008, <doi:10 [...truncated...]
Author: Isaac Kinley [aut, cre]
Maintainer: Isaac Kinley <isaac.kinley@gmail.com>
License: GPL-3
Version: 2.1.0
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: stats, graphics, methods, grDevices, RWiener
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
URL: https://kinleyid.github.io/tempodisco/
BugReports: https://github.com/kinleyid/tempodisco/issues
NeedsCompilation: no
Packaged: 2026-03-07 15:05:39 UTC; isaac
Repository: CRAN
Date/Publication: 2026-03-12 08:00:02 UTC

More information about tempodisco at CRAN
Permanent link

New package PubMatrixR with initial version 1.0.0
Package: PubMatrixR
Title: PubMed Pairwise Co-Occurrence Matrix Construction and Visualization
Version: 1.0.0
Description: Queries the 'NCBI' (National Center for Biotechnology Information) Entrez 'E-utilities' API to count pairwise co-occurrences between two sets of terms in 'PubMed' or 'PubMed Central'. It returns a matrix-like data frame of publication counts and can export hyperlink-enabled results in CSV or ODS format. The package also provides heatmap helpers for exploratory visualization of overlap patterns. Based on the method described in Becker et al. (2003) "PubMatrix: a tool for multiplex literature mining" <doi:10.1186/1471-2105-4-61>.
Depends: R (>= 4.1.0)
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/ToledoEM/PubMatrixR-v2
BugReports: https://github.com/ToledoEM/PubMatrixR-v2/issues
Imports: pbapply, pheatmap, readODS, xml2
Suggests: dplyr, ggplot2, kableExtra, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-07 16:24:20 UTC; enrique
Author: Tyler Laird [aut], Enrique Toledo [aut, cre]
Maintainer: Enrique Toledo <enriquetoledo@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-12 08:00:08 UTC

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Package mixtur updated to version 1.2.3 with previous version 1.2.2 dated 2025-07-21

Title: Modelling Continuous Report Visual Short-Term Memory Studies
Description: A set of utility functions for analysing and modelling data from continuous report short-term memory experiments using either the 2-component mixture model of Zhang and Luck (2008) <doi:10.1038/nature06860> or the 3-component mixture model of Bays et al. (2009) <doi:10.1167/9.10.7>. Users are also able to simulate from these models.
Author: Jim Grange [aut, cre] , Stuart B. Moore [aut] , Ed D. J. Berry [ctb], Vencislav Popov [ctb]
Maintainer: Jim Grange <grange.jim@gmail.com>

Diff between mixtur versions 1.2.2 dated 2025-07-21 and 1.2.3 dated 2026-03-12

 DESCRIPTION  |   10 ++--
 MD5          |   10 ++--
 NAMESPACE    |    1 
 NEWS.md      |    5 +-
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 6 files changed, 104 insertions(+), 66 deletions(-)

More information about mixtur at CRAN
Permanent link

Package rswipl updated to version 10.1.5 with previous version 10.1.4 dated 2026-02-23

Title: Embed 'SWI'-'Prolog'
Description: Interface to 'SWI'-'Prolog', <https://www.swi-prolog.org/>. This package is normally not loaded directly, please refer to package 'rolog' instead. The purpose of this package is to provide the 'Prolog' runtime on systems that do not have a software installation of 'SWI'-'Prolog'.
Author: Matthias Gondan [aut, com, cre] , Jan Wielemaker [ctb, cph] , European Commission [fnd]
Maintainer: Matthias Gondan <Matthias.Gondan-Rochon@uibk.ac.at>

Diff between rswipl versions 10.1.4 dated 2026-02-23 and 10.1.5 dated 2026-03-12

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More information about rswipl at CRAN
Permanent link

Package rpanel updated to version 1.1-6 with previous version 1.1-5.2 dated 2023-02-07

Title: Simple Interactive Controls for R using the 'tcltk' Package
Description: A set of functions to build simple GUI controls for R functions. These are built on the 'tcltk' package. Uses could include changing a parameter on a graph by animating it with a slider or a "doublebutton", up to more sophisticated control panels. Some functions for specific graphical tasks, referred to as 'cartoons', are provided.
Author: Adrian Bowman [aut, cre, cph], Ewan Crawford [aut], Gavin Alexander [aut], Richard Bowman [aut]
Maintainer: Adrian Bowman <adrian.bowman@glasgow.ac.uk>

Diff between rpanel versions 1.1-5.2 dated 2023-02-07 and 1.1-6 dated 2026-03-12

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More information about rpanel at CRAN
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Package msigdbr updated to version 26.1.0 with previous version 25.1.1 dated 2025-07-21

Title: MSigDB Gene Sets for Multiple Organisms in a Tidy Data Format
Description: Provides the 'Molecular Signatures Database' (MSigDB) gene sets typically used with the 'Gene Set Enrichment Analysis' (GSEA) software (Subramanian et al. 2005 <doi:10.1073/pnas.0506580102>, Liberzon et al. 2015 <doi:10.1016/j.cels.2015.12.004>, Castanza et al. 2023 <doi:10.1038/s41592-023-02014-7>) as an R data frame. The package includes the human genes as listed in MSigDB as well as the corresponding symbols and IDs for frequently studied model organisms such as mouse, rat, pig, fly, and yeast.
Author: Igor Dolgalev [aut, cre]
Maintainer: Igor Dolgalev <igor.dolgalev@nyumc.org>

Diff between msigdbr versions 25.1.1 dated 2025-07-21 and 26.1.0 dated 2026-03-12

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Package daltoolbox updated to version 1.3.727 with previous version 1.3.717 dated 2026-02-10

Title: Leveraging Experiment Lines to Data Analytics
Description: The natural increase in the complexity of current research experiments and data demands better tools to enhance productivity in Data Analytics. The package is a framework designed to address the modern challenges in data analytics workflows. The package is inspired by Experiment Line concepts. It aims to provide seamless support for users in developing their data mining workflows by offering a uniform data model and method API. It enables the integration of various data mining activities, including data preprocessing, classification, regression, clustering, and time series prediction. It also offers options for hyper-parameter tuning and supports integration with existing libraries and languages. Overall, the package provides researchers with a comprehensive set of functionalities for data science, promoting ease of use, extensibility, and integration with various tools and libraries. Information on Experiment Line is based on Ogasawara et al. (2009) <doi:10.1007/978-3-642-02279-1_2 [...truncated...]
Author: Eduardo Ogasawara [aut, ths, cre] , Ana Carolina Sá [aut], Antonio Castro [aut], Caio Santos [aut], Diego Carvalho [ctb], Diego Salles [aut], Eduardo Bezerra [ctb], Esther Pacitti [ctb], Fabio Porto [ctb], Janio Lima [aut], Lucas Tavares [aut], Ra [...truncated...]
Maintainer: Eduardo Ogasawara <eogasawara@ieee.org>

Diff between daltoolbox versions 1.3.717 dated 2026-02-10 and 1.3.727 dated 2026-03-12

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