Title: Microeconometrics with R
Description: Functions, data sets and examples for the book: Yves Croissant (2025) "Microeconometrics with R", Chapman and Hall/CRC The R Series <doi:10.1201/9781003100263>. The package includes a set of estimators for models used in microeconometrics, especially for count data and limited dependent variables. Test functions include score test, Hausman test, Vuong test, Sargan test and conditional moment test. A small subset of the data set used in the book is also included.
Author: Yves Croissant [aut, cre]
Maintainer: Yves Croissant <yves.croissant@univ-reunion.fr>
Diff between micsr versions 0.1-3 dated 2025-07-09 and 0.1-4 dated 2025-10-27
DESCRIPTION | 8 +-- MD5 | 46 +++++++++++--------- NAMESPACE | 2 NEWS.md | 13 +++++ R/methods.R | 12 +++-- R/test.R | 5 +- R/tools.R | 99 +++++++++++++++++++++++++++++++------------- build/partial.rdb |binary build/vignette.rds |binary inst/doc/charitable.R | 10 ++-- inst/doc/charitable.pdf |binary inst/doc/charitable.qmd | 4 + inst/doc/escount.pdf |binary inst/doc/expreg.pdf |binary inst/doc/lm_function.pdf |binary inst/doc/micsr_objects.pdf |binary inst/doc/micsr_objects.qmd | 4 - inst/doc/misc_tools.R |only inst/doc/misc_tools.pdf |only inst/doc/misc_tools.qmd |only inst/doc/ndvuong.pdf |binary man/dummy.Rd |only man/maximize.Rd |only man/micsr.Rd | 2 vignettes/charitable.qmd | 4 + vignettes/micsr_objects.qmd | 4 - vignettes/misc_tools.qmd |only 27 files changed, 144 insertions(+), 69 deletions(-)
Title: Multiple Hurdle Tobit Models
Description: Estimation of models with dependent variable left-censored at zero.
Null values may be caused by a selection process
Cragg (1971) <doi:10.2307/1909582>, insufficient resources
Tobin (1958) <doi:10.2307/1907382>, or infrequency of purchase
Deaton and Irish (1984) <doi:10.1016/0047-2727(84)90067-7>.
Author: Yves Croissant [aut, cre] ,
Fabrizio Carlevaro [aut],
Stephane Hoareau [aut]
Maintainer: Yves Croissant <yves.croissant@univ-reunion.fr>
Diff between mhurdle versions 1.3-1 dated 2024-06-17 and 1.3-2 dated 2025-10-27
DESCRIPTION | 11 ++++---- MD5 | 18 +++++++------- NEWS.md | 2 + build/partial.rdb |binary build/vignette.rds |binary data/Interview.rda |binary inst/doc/mhurdle.R | 34 -------------------------- inst/doc/mhurdle.Rmd | 64 +++++++++++++++++++++++++------------------------- inst/doc/mhurdle.pdf |binary vignettes/mhurdle.Rmd | 64 +++++++++++++++++++++++++------------------------- 10 files changed, 82 insertions(+), 111 deletions(-)
Title: Lipid Annotation for LC-MS/MS DDA or DIA Data
Description: Lipid annotation in untargeted LC-MS lipidomics based on fragmentation rules. Alcoriza-Balaguer MI, Garcia-Canaveras JC, Lopez A, Conde I, Juan O, Carretero J, Lahoz A (2019) <doi:10.1021/acs.analchem.8b03409>.
Author: M Isabel Alcoriza-Balaguer [aut, cre],
Celia Regal-Marques [aut]
Maintainer: M Isabel Alcoriza-Balaguer <maribel_alcoriza@iislafe.es>
Diff between LipidMS versions 3.0.5 dated 2024-05-27 and 3.1.0 dated 2025-10-27
LipidMS-3.0.5/LipidMS/inst/LipidMSapp/server.R |only LipidMS-3.0.5/LipidMS/inst/LipidMSapp/ui.R |only LipidMS-3.1.0/LipidMS/DESCRIPTION | 29 LipidMS-3.1.0/LipidMS/MD5 | 367 ++--- LipidMS-3.1.0/LipidMS/NAMESPACE | 16 LipidMS-3.1.0/LipidMS/R/LipidMS.R | 13 LipidMS-3.1.0/LipidMS/R/LipidMSapp.R | 24 LipidMS-3.1.0/LipidMS/R/additionalFunctions.R | 87 - LipidMS-3.1.0/LipidMS/R/dataProcessing.R | 304 ++-- LipidMS-3.1.0/LipidMS/R/idFunctionsNeg.R | 30 LipidMS-3.1.0/LipidMS/R/idFunctionsPos.R | 4 LipidMS-3.1.0/LipidMS/R/internal.R | 363 ++++- LipidMS-3.1.0/LipidMS/R/internalProcessing.R | 437 +++--- LipidMS-3.1.0/LipidMS/R/internaldbs.R | 36 LipidMS-3.1.0/LipidMS/R/msbatchAnnotationFunctions.R | 70 LipidMS-3.1.0/LipidMS/R/subfunctionsIdentification.R | 7 LipidMS-3.1.0/LipidMS/R/utils.R |only LipidMS-3.1.0/LipidMS/README.md | 9 LipidMS-3.1.0/LipidMS/build/vignette.rds |binary LipidMS-3.1.0/LipidMS/data/lysopaodb.rda |binary LipidMS-3.1.0/LipidMS/data/lysopcodb.rda |binary LipidMS-3.1.0/LipidMS/data/lysopcpdb.rda |binary LipidMS-3.1.0/LipidMS/data/lysopeodb.rda |binary LipidMS-3.1.0/LipidMS/data/lysopepdb.rda |binary LipidMS-3.1.0/LipidMS/data/pcodb.rda |binary LipidMS-3.1.0/LipidMS/data/pcpdb.rda |binary LipidMS-3.1.0/LipidMS/data/peodb.rda |binary LipidMS-3.1.0/LipidMS/data/pepdb.rda |binary LipidMS-3.1.0/LipidMS/inst/LipidMSapp/app.R |only LipidMS-3.1.0/LipidMS/inst/LipidMSapp/www/info_dataImport.png |only LipidMS-3.1.0/LipidMS/inst/LipidMSapp/www/info_manualFilter.png |only LipidMS-3.1.0/LipidMS/inst/LipidMSapp/www/info_manualPrediction.png |only LipidMS-3.1.0/LipidMS/inst/LipidMSapp/www/legend_manualFilter.png |only LipidMS-3.1.0/LipidMS/inst/LipidMSapp/www/legend_manualPrediction.png |only LipidMS-3.1.0/LipidMS/inst/doc/vignette.R | 709 ++++------ LipidMS-3.1.0/LipidMS/inst/doc/vignette.Rmd | 41 LipidMS-3.1.0/LipidMS/inst/doc/vignette.html | 56 LipidMS-3.1.0/LipidMS/man/LipidMSapp.Rd | 49 LipidMS-3.1.0/LipidMS/man/MassAcylCer.Rd | 44 LipidMS-3.1.0/LipidMS/man/MassCE.Rd | 44 LipidMS-3.1.0/LipidMS/man/MassCL.Rd | 44 LipidMS-3.1.0/LipidMS/man/MassCarnitines.Rd | 44 LipidMS-3.1.0/LipidMS/man/MassCer.Rd | 44 LipidMS-3.1.0/LipidMS/man/MassCerP.Rd | 44 LipidMS-3.1.0/LipidMS/man/MassDG.Rd | 44 LipidMS-3.1.0/LipidMS/man/MassFA.Rd | 44 LipidMS-3.1.0/LipidMS/man/MassFAHFA.Rd | 44 LipidMS-3.1.0/LipidMS/man/MassGlcCer.Rd | 44 LipidMS-3.1.0/LipidMS/man/MassHFA.Rd | 44 LipidMS-3.1.0/LipidMS/man/MassLysoPA.Rd | 44 LipidMS-3.1.0/LipidMS/man/MassLysoPAo.Rd | 44 LipidMS-3.1.0/LipidMS/man/MassLysoPC.Rd | 44 LipidMS-3.1.0/LipidMS/man/MassLysoPCo.Rd | 44 LipidMS-3.1.0/LipidMS/man/MassLysoPCp.Rd | 44 LipidMS-3.1.0/LipidMS/man/MassLysoPE.Rd | 44 LipidMS-3.1.0/LipidMS/man/MassLysoPEo.Rd | 44 LipidMS-3.1.0/LipidMS/man/MassLysoPEp.Rd | 44 LipidMS-3.1.0/LipidMS/man/MassLysoPG.Rd | 44 LipidMS-3.1.0/LipidMS/man/MassLysoPI.Rd | 44 LipidMS-3.1.0/LipidMS/man/MassLysoPS.Rd | 44 LipidMS-3.1.0/LipidMS/man/MassMG.Rd | 44 LipidMS-3.1.0/LipidMS/man/MassPA.Rd | 44 LipidMS-3.1.0/LipidMS/man/MassPC.Rd | 44 LipidMS-3.1.0/LipidMS/man/MassPCo.Rd | 44 LipidMS-3.1.0/LipidMS/man/MassPCp.Rd | 44 LipidMS-3.1.0/LipidMS/man/MassPE.Rd | 44 LipidMS-3.1.0/LipidMS/man/MassPEo.Rd | 44 LipidMS-3.1.0/LipidMS/man/MassPEp.Rd | 44 LipidMS-3.1.0/LipidMS/man/MassPG.Rd | 44 LipidMS-3.1.0/LipidMS/man/MassPI.Rd | 44 LipidMS-3.1.0/LipidMS/man/MassPIP.Rd | 44 LipidMS-3.1.0/LipidMS/man/MassPIP2.Rd | 44 LipidMS-3.1.0/LipidMS/man/MassPIP3.Rd | 44 LipidMS-3.1.0/LipidMS/man/MassPS.Rd | 44 LipidMS-3.1.0/LipidMS/man/MassSM.Rd | 44 LipidMS-3.1.0/LipidMS/man/MassSph.Rd | 44 LipidMS-3.1.0/LipidMS/man/MassSphP.Rd | 44 LipidMS-3.1.0/LipidMS/man/MassTG.Rd | 44 LipidMS-3.1.0/LipidMS/man/alignmsbatch.Rd | 182 +- LipidMS-3.1.0/LipidMS/man/annotateIsotopes.Rd | 126 - LipidMS-3.1.0/LipidMS/man/annotatemsbatch.Rd | 144 +- LipidMS-3.1.0/LipidMS/man/assignDB.Rd | 46 LipidMS-3.1.0/LipidMS/man/batchdataProcessing.Rd | 234 +-- LipidMS-3.1.0/LipidMS/man/cbs.Rd | 62 LipidMS-3.1.0/LipidMS/man/chainFrags.Rd | 146 +- LipidMS-3.1.0/LipidMS/man/chains.Rd | 44 LipidMS-3.1.0/LipidMS/man/checkClass.Rd | 142 +- LipidMS-3.1.0/LipidMS/man/checkIntRules.Rd | 96 - LipidMS-3.1.0/LipidMS/man/checkIntensityRules.Rd | 106 - LipidMS-3.1.0/LipidMS/man/clust.Rd | 68 LipidMS-3.1.0/LipidMS/man/clustdist.Rd | 46 LipidMS-3.1.0/LipidMS/man/clustering.Rd | 70 LipidMS-3.1.0/LipidMS/man/coelutingFrags.Rd | 74 - LipidMS-3.1.0/LipidMS/man/coelutionScore.Rd | 50 LipidMS-3.1.0/LipidMS/man/combineChains.Rd | 70 LipidMS-3.1.0/LipidMS/man/combineClassesAdducts.Rd |only LipidMS-3.1.0/LipidMS/man/createLipidDB.Rd | 87 - LipidMS-3.1.0/LipidMS/man/crossAdducts.Rd | 66 LipidMS-3.1.0/LipidMS/man/crossTables.Rd | 64 LipidMS-3.1.0/LipidMS/man/dataProcessing.Rd | 210 +- LipidMS-3.1.0/LipidMS/man/dbFourChains.Rd | 48 LipidMS-3.1.0/LipidMS/man/dbOneChain.Rd | 52 LipidMS-3.1.0/LipidMS/man/dbPlasmalogens.Rd |only LipidMS-3.1.0/LipidMS/man/dbSphingolipids.Rd | 52 LipidMS-3.1.0/LipidMS/man/dbThreeChains.Rd | 48 LipidMS-3.1.0/LipidMS/man/dbTwoChains.Rd | 48 LipidMS-3.1.0/LipidMS/man/dbsAdducts.Rd |only LipidMS-3.1.0/LipidMS/man/ddaFrags.Rd | 74 - LipidMS-3.1.0/LipidMS/man/diffcb.Rd | 52 LipidMS-3.1.0/LipidMS/man/dot-with_future_plan.Rd |only LipidMS-3.1.0/LipidMS/man/fillpeaksmsbatch.Rd | 64 LipidMS-3.1.0/LipidMS/man/filtermsms.Rd | 54 LipidMS-3.1.0/LipidMS/man/filtrateAdducts.Rd | 44 LipidMS-3.1.0/LipidMS/man/findCandidates.Rd | 128 - LipidMS-3.1.0/LipidMS/man/findMS2precursor.Rd | 58 LipidMS-3.1.0/LipidMS/man/findPrecursor.Rd | 68 LipidMS-3.1.0/LipidMS/man/frags.Rd | 58 LipidMS-3.1.0/LipidMS/man/getFormula.Rd | 52 LipidMS-3.1.0/LipidMS/man/getInclusionList.Rd | 54 LipidMS-3.1.0/LipidMS/man/getallpeaks.Rd | 42 LipidMS-3.1.0/LipidMS/man/getfeaturestable.Rd | 42 LipidMS-3.1.0/LipidMS/man/groupmsbatch.Rd | 191 +- LipidMS-3.1.0/LipidMS/man/idAcylCerneg.Rd | 268 +-- LipidMS-3.1.0/LipidMS/man/idAcylCerpos.Rd | 268 +-- LipidMS-3.1.0/LipidMS/man/idBAneg.Rd | 194 +- LipidMS-3.1.0/LipidMS/man/idCEpos.Rd | 212 +- LipidMS-3.1.0/LipidMS/man/idCLneg.Rd | 270 +-- LipidMS-3.1.0/LipidMS/man/idCarpos.Rd | 212 +- LipidMS-3.1.0/LipidMS/man/idCerPneg.Rd | 258 +-- LipidMS-3.1.0/LipidMS/man/idCerPpos.Rd | 258 +-- LipidMS-3.1.0/LipidMS/man/idCerneg.Rd | 258 +-- LipidMS-3.1.0/LipidMS/man/idCerpos.Rd | 256 +-- LipidMS-3.1.0/LipidMS/man/idDGpos.Rd | 254 +-- LipidMS-3.1.0/LipidMS/man/idFAHFAneg.Rd | 254 +-- LipidMS-3.1.0/LipidMS/man/idFAneg.Rd | 202 +- LipidMS-3.1.0/LipidMS/man/idLPCneg.Rd | 214 +-- LipidMS-3.1.0/LipidMS/man/idLPCpos.Rd | 212 +- LipidMS-3.1.0/LipidMS/man/idLPEneg.Rd | 214 +-- LipidMS-3.1.0/LipidMS/man/idLPEpos.Rd | 212 +- LipidMS-3.1.0/LipidMS/man/idLPGneg.Rd | 212 +- LipidMS-3.1.0/LipidMS/man/idLPIneg.Rd | 212 +- LipidMS-3.1.0/LipidMS/man/idLPSneg.Rd | 210 +- LipidMS-3.1.0/LipidMS/man/idMGpos.Rd | 200 +- LipidMS-3.1.0/LipidMS/man/idNEG.Rd | 130 - LipidMS-3.1.0/LipidMS/man/idPCneg.Rd | 260 +-- LipidMS-3.1.0/LipidMS/man/idPConeg.Rd | 258 +-- LipidMS-3.1.0/LipidMS/man/idPCopos.Rd | 258 +-- LipidMS-3.1.0/LipidMS/man/idPCpneg.Rd | 258 +-- LipidMS-3.1.0/LipidMS/man/idPCpos.Rd | 258 +-- LipidMS-3.1.0/LipidMS/man/idPCppos.Rd | 258 +-- LipidMS-3.1.0/LipidMS/man/idPEneg.Rd | 260 +-- LipidMS-3.1.0/LipidMS/man/idPEoneg.Rd | 260 +-- LipidMS-3.1.0/LipidMS/man/idPEopos.Rd | 256 +-- LipidMS-3.1.0/LipidMS/man/idPEpneg.Rd | 260 +-- LipidMS-3.1.0/LipidMS/man/idPEpos.Rd | 258 +-- LipidMS-3.1.0/LipidMS/man/idPEppos.Rd | 256 +-- LipidMS-3.1.0/LipidMS/man/idPGneg.Rd | 258 +-- LipidMS-3.1.0/LipidMS/man/idPGpos.Rd | 256 +-- LipidMS-3.1.0/LipidMS/man/idPIneg.Rd | 260 +-- LipidMS-3.1.0/LipidMS/man/idPOS.Rd | 130 - LipidMS-3.1.0/LipidMS/man/idPSneg.Rd | 258 +-- LipidMS-3.1.0/LipidMS/man/idSMpos.Rd | 258 +-- LipidMS-3.1.0/LipidMS/man/idSphPneg.Rd | 200 +- LipidMS-3.1.0/LipidMS/man/idSphPpos.Rd | 200 +- LipidMS-3.1.0/LipidMS/man/idSphneg.Rd | 200 +- LipidMS-3.1.0/LipidMS/man/idSphpos.Rd | 200 +- LipidMS-3.1.0/LipidMS/man/idTGpos.Rd | 274 +-- LipidMS-3.1.0/LipidMS/man/indexrtpart.Rd | 50 LipidMS-3.1.0/LipidMS/man/joinAnnotationResults.Rd | 50 LipidMS-3.1.0/LipidMS/man/joinfrags.Rd | 44 LipidMS-3.1.0/LipidMS/man/mzMatch.Rd | 58 LipidMS-3.1.0/LipidMS/man/organizeResults.Rd | 108 - LipidMS-3.1.0/LipidMS/man/partitioning.Rd | 70 LipidMS-3.1.0/LipidMS/man/peakdetection.Rd | 126 - LipidMS-3.1.0/LipidMS/man/peodb.Rd | 3 LipidMS-3.1.0/LipidMS/man/plotLipids.Rd | 70 LipidMS-3.1.0/LipidMS/man/ploteicmsbatch.Rd | 62 LipidMS-3.1.0/LipidMS/man/plotticmsbatch.Rd | 50 LipidMS-3.1.0/LipidMS/man/readFileLipidClasses.Rd |only LipidMS-3.1.0/LipidMS/man/readMSfile.Rd | 46 LipidMS-3.1.0/LipidMS/man/removeduplicatedpeaks.Rd |only LipidMS-3.1.0/LipidMS/man/rtcorrection.Rd | 46 LipidMS-3.1.0/LipidMS/man/rtdevplot.Rd | 46 LipidMS-3.1.0/LipidMS/man/searchIsotopes.Rd | 90 - LipidMS-3.1.0/LipidMS/man/searchIsotopesmsbatch.Rd | 90 - LipidMS-3.1.0/LipidMS/man/select.Rd | 54 LipidMS-3.1.0/LipidMS/man/setmsbatch.Rd | 70 LipidMS-3.1.0/LipidMS/man/sumChains.Rd | 50 LipidMS-3.1.0/LipidMS/src/Peakpicking.cpp | 114 - LipidMS-3.1.0/LipidMS/src/clustdist.cpp | 14 LipidMS-3.1.0/LipidMS/vignettes/vignette.Rmd | 41 LipidMS-3.1.0/LipidMS/vignettes/workflow.png |binary 192 files changed, 10185 insertions(+), 9514 deletions(-)
Title: Web Interface to 'IsoplotR'
Description: Provides a graphical user interface to the 'IsoplotR' package for radiometric geochronology. The GUI runs in an internet browser and can either be used offline, or hosted on a server to provide online access to the 'IsoplotR' toolbox.
Author: Pieter Vermeesch [aut, cre],
Tim Band [ctb]
Maintainer: Pieter Vermeesch <p.vermeesch@ucl.ac.uk>
Diff between IsoplotRgui versions 6.7 dated 2025-07-31 and 6.8 dated 2025-10-27
DESCRIPTION | 12 +++--- MD5 | 29 ++++++++-------- R/IsoplotR.R | 6 ++- README.md | 6 +-- inst/www/home/intro.html | 2 - inst/www/home/news.html | 58 ++++++++++++++++----------------- inst/www/js/handsontable.min.css |only inst/www/js/handsontable.min.js | 12 +++++- inst/www/locales/en/dictionary_id.json | 2 - inst/www/locales/en/home_id.json | 4 +- inst/www/locales/es/home_id.json | 4 +- inst/www/options/Pb-Pb.html | 2 - inst/www/options/average.html | 2 - inst/www/version.txt | 2 - inst/www/welcome.html | 2 - man/IsoplotR.Rd | 2 - 16 files changed, 77 insertions(+), 68 deletions(-)
Title: Network Analysis and Visualization
Description: Routines for simple graphs and network analysis. It can
handle large graphs very well and provides functions for generating
random and regular graphs, graph visualization, centrality methods and
much more.
Author: Gabor Csardi [aut] ,
Tamas Nepusz [aut] ,
Vincent Traag [aut] ,
Szabolcs Horvat [aut] ,
Fabio Zanini [aut] ,
Daniel Noom [aut],
Kirill Mueller [aut, cre] ,
Michael Antonov [ctb],
Chan Zuckerberg Initiative [fnd] ,
David Schoch [aut] ,
Maelle Salmon [a [...truncated...]
Maintainer: Kirill Mueller <kirill@cynkra.com>
Diff between igraph versions 2.2.0 dated 2025-10-13 and 2.2.1 dated 2025-10-27
DESCRIPTION | 6 +-- MD5 | 20 +++++----- NEWS.md | 15 +++++++ R/aaa-auto.R | 10 ++++- inst/doc/igraph.html | 40 ++++++++++---------- inst/doc/igraph_ES.html | 40 ++++++++++---------- src/cpp11.cpp | 4 +- src/rinterface_extra.c | 2 - tests/testthat/_snaps/centrality.md | 71 ------------------------------------ tests/testthat/test-aaa-auto.R | 3 + tests/testthat/test-centrality.R | 44 ++++++++++------------ 11 files changed, 105 insertions(+), 150 deletions(-)
Title: Binary Choice Models with Fixed Effects
Description: Estimates fixed effects binary choice models (logit and probit) with potentially many
individual fixed effects and computes average partial effects. Incidental parameter bias can be
reduced with an asymptotic bias correction proposed by Fernandez-Val (2009)
<doi:10.1016/j.jeconom.2009.02.007>.
Author: Amrei Stammann [aut, cre] ,
Daniel Czarnowske [aut] ,
Florian Heiss [aut],
Daniel McFadden [ctb]
Maintainer: Amrei Stammann <amrei.stammann@uni-bayreuth.de>
This is a re-admission after prior archival of version 0.7.2 dated 2022-08-11
Diff between bife versions 0.7.2 dated 2022-08-11 and 0.7.3 dated 2025-10-27
DESCRIPTION | 19 +- MD5 | 23 +- NAMESPACE | 1 R/bife.R | 218 +++++++++++++------------- README.md |only build/vignette.rds |binary inst/NEWS.Rd | 6 inst/doc/howto.R | 340 ++++++++++++++++++++--------------------- inst/doc/howto.html | 431 ++++++++++++++++++++++++++-------------------------- man/bife.Rd | 36 ++-- man/bife_control.Rd | 6 src/Makevars | 2 src/Makevars.win | 2 13 files changed, 554 insertions(+), 530 deletions(-)
Title: Fit GLM's with High-Dimensional k-Way Fixed Effects
Description: Provides a routine to partial out factors with many levels during the optimization of the log-likelihood function of the corresponding generalized linear model (glm). The package is based on the algorithm described in Stammann (2018) <doi:10.48550/arXiv.1707.01815> and is restricted to glm's that are based on maximum likelihood estimation and nonlinear. It also offers an efficient algorithm to recover estimates of the fixed effects in a post-estimation routine and includes robust and multi-way clustered standard errors. Further the package provides analytical bias corrections for binary choice models derived by Fernandez-Val and Weidner (2016) <doi:10.1016/j.jeconom.2015.12.014> and Hinz, Stammann, and Wanner (2020) <doi:10.48550/arXiv.2004.12655>.
Author: Amrei Stammann [aut, cre] ,
Daniel Czarnowske [aut]
Maintainer: Amrei Stammann <amrei.stammann@uni-bayreuth.de>
This is a re-admission after prior archival of version 0.3.4 dated 2022-08-10
Diff between alpaca versions 0.3.4 dated 2022-08-10 and 0.3.5 dated 2025-10-27
DESCRIPTION | 21 - MD5 | 38 +- NAMESPACE | 1 R/alpaca.R | 6 R/feglm.R | 10 R/feglm.nb.R | 10 R/helpers.R |only R/internals.R | 103 +++---- README.md |only build/vignette.rds |binary inst/doc/howto.R | 300 ++++++++++----------- inst/doc/howto.html | 391 ++++++++++++++------------- inst/doc/replication.R |only inst/doc/replication.Rmd |only inst/doc/replication.html |only inst/doc/trade.R | 562 +++++++++++++++++++-------------------- inst/doc/trade.Rmd | 2 inst/doc/trade.html | 648 +++++++++++++++++++++++----------------------- man/alpaca-package.Rd | 1 src/Makevars | 2 src/Makevars.win | 2 vignettes/replication.Rmd |only vignettes/trade.Rmd | 2 23 files changed, 1054 insertions(+), 1045 deletions(-)
Title: Flood Frequency Analysis Framework
Description: Tools to support systematic and reproducible workflows for both
stationary and nonstationary flood frequency analysis, with applications
extending to other hydroclimate extremes, such as precipitation frequency
analysis. This package implements the FFA framework proposed by Vidrio-
Sahagún et al. (2024) <doi:10.1016/j.envsoft.2024.105940>, originally
developed in 'MATLAB', now adapted for the 'R' environment. This work was
funded by the Flood Hazard Identification and Mapping Program of Environment
and Climate Change Canada, as well as the Canada Research Chair (Tier 1)
awarded to Dr. Pietroniro.
Author: Riley Wheadon [aut, cre],
Cuauhtemoc Vidrio-Sahagun [aut],
Alain Pietroniro [aut, fnd],
Jianxun He [aut],
Environment and Climate Change Canada [fnd]
Maintainer: Riley Wheadon <rileywheadon@gmail.com>
Diff between ffaframework versions 0.1.1 dated 2025-08-29 and 0.1.2 dated 2025-10-27
DESCRIPTION | 6 +++--- MD5 | 16 ++++++++-------- inst/doc/change-points.html | 6 +++--- inst/doc/non-stationary-ffa.html | 10 +++++----- inst/doc/stationary-ffa.html | 10 +++++----- inst/doc/trend-mean.html | 8 ++++---- inst/doc/trend-variability.html | 6 +++--- inst/doc/wrapper-functions.html | 6 +++--- tests/testthat/test-data-loading.R | 1 - 9 files changed, 34 insertions(+), 35 deletions(-)
Title: Parse XML
Description: Bindings to 'libxml2' for working with XML data using a simple,
consistent interface based on 'XPath' expressions. Also supports XML schema
validation; for 'XSLT' transformations see the 'xslt' package.
Author: Hadley Wickham [aut],
Jim Hester [aut],
Jeroen Ooms [aut, cre],
Posit Software, PBC [cph, fnd],
R Foundation [ctb]
Maintainer: Jeroen Ooms <jeroenooms@gmail.com>
Diff between xml2 versions 1.4.0 dated 2025-08-20 and 1.4.1 dated 2025-10-27
DESCRIPTION | 12 +- MD5 | 88 ++++++++--------- NEWS.md | 4 R/as_list.R | 27 ++++- R/as_xml_document.R | 1 R/format.R | 3 R/paths.R | 4 R/utils.R | 23 +++- R/xml_attr.R | 29 ++++- R/xml_document.R | 7 + R/xml_find.R | 12 ++ R/xml_missing.R | 4 R/xml_modify.R | 114 +++++++++++++++++++---- R/xml_node.R | 7 + R/xml_nodeset.R | 5 - R/xml_parse.R | 168 +++++++++++++++++++++------------- R/xml_serialize.R | 19 +++ R/xml_structure.R | 15 ++- R/xml_write.R | 24 ++++ build/partial.rdb |binary inst/doc/modification.R | 19 +-- inst/doc/modification.Rmd | 19 +-- inst/doc/modification.html | 30 +++--- man/download_xml.Rd | 2 man/xml2-package.Rd | 8 - man/xml_structure.Rd | 2 tests/testthat/test-as_list.R | 33 +++++- tests/testthat/test-as_xml_document.R | 9 + tests/testthat/test-classes.R | 45 +++++++-- tests/testthat/test-format.R | 14 ++ tests/testthat/test-xml_attr.R | 24 +++- tests/testthat/test-xml_children.R | 15 ++- tests/testthat/test-xml_find.R | 6 - tests/testthat/test-xml_missing.R | 6 - tests/testthat/test-xml_modify.R | 52 +++++++--- tests/testthat/test-xml_name.R | 6 - tests/testthat/test-xml_nodeset.R | 6 - tests/testthat/test-xml_parse.R | 18 ++- tests/testthat/test-xml_serialize.R | 11 +- tests/testthat/test-xml_text.R | 19 ++- tests/testthat/test-xml_type.R | 6 - tests/testthat/test-xml_url.R | 57 +++++++++-- tests/testthat/test-xml_write.R | 26 +---- tools/winlibs.R | 8 - vignettes/modification.Rmd | 19 +-- 45 files changed, 716 insertions(+), 310 deletions(-)
Title: Time Series Prediction with Integrated Tuning
Description: Time series prediction is a critical task in data analysis, requiring not only the selection of appropriate models, but also suitable data preprocessing and tuning strategies.
TSPredIT (Time Series Prediction with Integrated Tuning) is a framework that provides a seamless integration of data preprocessing, decomposition, model training, hyperparameter optimization, and evaluation.
Unlike other frameworks, TSPredIT emphasizes the co-optimization of both preprocessing and modeling steps, improving predictive performance.
It supports a variety of statistical and machine learning models, filtering techniques, outlier detection, data augmentation, and ensemble strategies.
More information is available in Salles et al. <doi:10.1007/978-3-662-68014-8_2>.
Author: Eduardo Ogasawara [aut, ths, cre] ,
Cristiane Gea [aut],
Diego Carvalho [ctb],
Diogo Santos [aut],
Eduardo Bezerra [ctb],
Esther Pacitti [ctb],
Fabio Porto [ctb],
Fernando Alexandrino [aut],
Rebecca Salles [aut],
Vitoria Birindiba [aut],
CEFET/RJ [cp [...truncated...]
Maintainer: Eduardo Ogasawara <eogasawara@ieee.org>
Diff between tspredit versions 1.2.737 dated 2025-08-20 and 1.2.747 dated 2025-10-27
DESCRIPTION | 8 - MD5 | 200 +++++++++++++++++++++++----------------------- R/data.R | 9 +- R/ts_arima.R | 59 +++++++++++-- R/ts_aug_awareness.R | 40 +++++---- R/ts_aug_awaresmooth.R | 39 +++++--- R/ts_aug_flip.R | 38 +++++--- R/ts_aug_jitter.R | 40 ++++++--- R/ts_aug_none.R | 28 +++--- R/ts_aug_shrink.R | 37 +++++--- R/ts_aug_stretch.R | 37 +++++--- R/ts_aug_wormhole.R | 36 +++++--- R/ts_data.R | 42 ++++++--- R/ts_elm.R | 80 +++++++++++------- R/ts_fil_ema.R | 39 +++++--- R/ts_fil_emd.R | 32 ++++--- R/ts_fil_fft.R | 35 +++++--- R/ts_fil_hp.R | 16 +++ R/ts_fil_kalman.R | 33 ++++--- R/ts_fil_lowess.R | 12 ++ R/ts_fil_ma.R | 11 +- R/ts_fil_none.R | 27 +++--- R/ts_fil_qes.R | 13 ++ R/ts_fil_recursive.R | 7 + R/ts_fil_remd.R | 16 ++- R/ts_fil_seas_adj.R | 30 ++++-- R/ts_fil_ses.R | 11 +- R/ts_fil_smooth.R | 26 +++-- R/ts_fil_spline.R | 30 ++++-- R/ts_fil_wavelet.R | 33 ++++--- R/ts_fil_winsor.R | 32 ++++--- R/ts_integtune.R | 76 ++++++++++------- R/ts_knn.R | 71 ++++++++++------ R/ts_mlp.R | 55 +++++++++--- R/ts_norm_an.R | 28 ++++-- R/ts_norm_diff.R | 41 +++++---- R/ts_norm_ean.R | 17 ++- R/ts_norm_gminmax.R | 46 ++++++---- R/ts_norm_none.R | 27 +++--- R/ts_norm_swminmax.R | 43 ++++++--- R/ts_projection.R | 30 ++++-- R/ts_reg.R | 71 ++++++++++------ R/ts_regsw.R | 35 ++++++-- R/ts_rf.R | 77 +++++++++++------ R/ts_sample.R | 35 ++++---- R/ts_svm.R | 85 ++++++++++++------- R/ts_tune.R | 79 +++++++++++------- man/MSE.ts.Rd | 11 +- man/R2.ts.Rd | 8 - man/adjust_ts_data.Rd | 7 - man/do_fit.Rd | 12 +- man/do_predict.Rd | 10 +- man/fertilizers.Rd | 6 - man/sMAPE.ts.Rd | 17 ++- man/sub-.ts_data.Rd | 4 man/ts_arima.Rd | 42 ++++++++- man/ts_aug_awareness.Rd | 24 +++-- man/ts_aug_awaresmooth.Rd | 23 +++-- man/ts_aug_flip.Rd | 25 ++++- man/ts_aug_jitter.Rd | 26 ++++- man/ts_aug_none.Rd | 14 ++- man/ts_aug_shrink.Rd | 23 +++-- man/ts_aug_stretch.Rd | 23 +++-- man/ts_aug_wormhole.Rd | 25 ++++- man/ts_data.Rd | 21 ++-- man/ts_elm.Rd | 45 +++++++--- man/ts_fil_ema.Rd | 32 +++++-- man/ts_fil_emd.Rd | 24 +++-- man/ts_fil_fft.Rd | 26 ++++- man/ts_fil_hp.Rd | 18 +++- man/ts_fil_kalman.Rd | 23 +++-- man/ts_fil_lowess.Rd | 13 ++ man/ts_fil_ma.Rd | 10 +- man/ts_fil_none.Rd | 17 ++- man/ts_fil_qes.Rd | 13 ++ man/ts_fil_recursive.Rd | 6 - man/ts_fil_remd.Rd | 13 ++ man/ts_fil_seas_adj.Rd | 22 +++-- man/ts_fil_ses.Rd | 12 +- man/ts_fil_smooth.Rd | 16 ++- man/ts_fil_spline.Rd | 26 ++++- man/ts_fil_wavelet.Rd | 25 +++-- man/ts_fil_winsor.Rd | 24 +++-- man/ts_head.Rd | 4 man/ts_integtune.Rd | 45 ++++++---- man/ts_knn.Rd | 39 ++++++-- man/ts_mlp.Rd | 48 ++++++++--- man/ts_norm_an.Rd | 14 ++- man/ts_norm_diff.Rd | 21 +++- man/ts_norm_ean.Rd | 14 ++- man/ts_norm_gminmax.Rd | 23 +++-- man/ts_norm_none.Rd | 13 +- man/ts_norm_swminmax.Rd | 19 ++-- man/ts_projection.Rd | 20 ++-- man/ts_reg.Rd | 14 ++- man/ts_regsw.Rd | 18 ++-- man/ts_rf.Rd | 43 +++++++-- man/ts_sample.Rd | 28 +++--- man/ts_svm.Rd | 46 +++++++--- man/ts_tune.Rd | 49 ++++++++--- man/tsd.Rd | 3 101 files changed, 2014 insertions(+), 1045 deletions(-)
Title: Develop a 'Telegram Bot' with R
Description: Provides a pure interface for the 'Telegram Bot API'
<http://core.telegram.org/bots/api>. In addition to the pure API
implementation, it features a number of tools to make the development of
'Telegram' bots with R easy and straightforward, providing an easy-to-use
interface that takes some work off the programmer.
Author: Ernest Benedito [aut, cre],
Chris Stefano [ctb]
Maintainer: Ernest Benedito <ebeneditos@gmail.com>
Diff between telegram.bot versions 3.0.1 dated 2025-09-17 and 3.0.2 dated 2025-10-27
DESCRIPTION | 6 ++-- MD5 | 24 ++++++++-------- NEWS.md | 4 ++ R/replymarkup.R | 34 +++++++++++++++++++----- README.md | 1 inst/doc/telegrambot-advanced-filters.html | 4 +- inst/doc/telegrambot-basic-functionalities.html | 4 +- inst/doc/telegrambot-building-a-bot.html | 4 +- inst/doc/telegrambot-introduction.html | 4 +- inst/doc/telegrambot-set-a-proxy.html | 4 +- inst/doc/telegrambot-the-add-operator.html | 4 +- man/InlineKeyboardButton.Rd | 7 ++++ man/KeyboardButton.Rd | 12 +++++++- 13 files changed, 77 insertions(+), 35 deletions(-)
Title: Forecasting Using State Space Models
Description: Functions implementing Single Source of Error state space models for purposes of time series analysis and forecasting.
The package includes ADAM (Svetunkov, 2023, <https://openforecast.org/adam/>),
Exponential Smoothing (Hyndman et al., 2008, <doi: 10.1007/978-3-540-71918-2>),
SARIMA (Svetunkov & Boylan, 2019 <doi: 10.1080/00207543.2019.1600764>),
Complex Exponential Smoothing (Svetunkov & Kourentzes, 2018, <doi: 10.13140/RG.2.2.24986.29123>),
Simple Moving Average (Svetunkov & Petropoulos, 2018 <doi: 10.1080/00207543.2017.1380326>)
and several simulation functions. It also allows dealing with intermittent demand based on the
iETS framework (Svetunkov & Boylan, 2019, <doi: 10.13140/RG.2.2.35897.06242>).
Author: Ivan Svetunkov [aut, cre]
Maintainer: Ivan Svetunkov <ivan@svetunkov.com>
Diff between smooth versions 4.3.0 dated 2025-07-01 and 4.3.1 dated 2025-10-27
DESCRIPTION | 8 MD5 | 74 +++---- NEWS | 24 ++ R/RcppExports.R | 16 - R/adam-ces.R | 449 ++++++++++++++++++++++++++++++---------------- R/adam-es.R | 4 R/adam-gum.R | 4 R/adam-sma.R | 2 R/adam-ssarima.R | 4 R/adam.R | 351 ++++++++++++++++++----------------- R/adamGeneral.R | 24 +- R/autoadam.R | 20 +- R/autoces.R | 1 R/automsarima.R | 2 R/msdecompose.R | 9 inst/doc/adam.R | 1 inst/doc/adam.Rmd | 1 inst/doc/adam.html | 357 ++++++++++++++++++------------------ inst/doc/ces.html | 20 +- inst/doc/es.html | 122 ++++++------ inst/doc/gum.html | 8 inst/doc/oes.html | 8 inst/doc/simulate.html | 6 inst/doc/sma.html | 6 inst/doc/smooth.html | 4 inst/doc/ssarima.html | 10 - man/adam.Rd | 11 - man/es.Rd | 2 man/rmultistep.Rd | 7 src/RcppExports.cpp | 28 +- src/adamGeneral.cpp | 23 +- src/adamGeneral.h | 271 ++++++++++++++++++++------- src/adamRefitter.cpp | 37 ++- src/adamSimulator.cpp | 27 +- src/ssGeneral.cpp | 4 tests/testthat/test_ces.R | 2 tests/testthat/test_es.R | 2 vignettes/adam.Rmd | 1 38 files changed, 1157 insertions(+), 793 deletions(-)
Title: Interface R to MPFR - Multiple Precision Floating-Point Reliable
Description: Arithmetic (via S4 classes and methods) for
arbitrary precision floating point numbers, including transcendental
("special") functions. To this end, the package interfaces to
the 'LGPL' licensed 'MPFR' (Multiple Precision Floating-Point Reliable) Library
which itself is based on the 'GMP' (GNU Multiple Precision) Library.
Author: Martin Maechler [aut, cre] ,
Richard M. Heiberger [ctb] , *Bin, *Dec),
John C. Nash [ctb] , origin of unirootR),
Hans W. Borchers [ctb] ; origin of
hjkMpfr),
Mikael Jagan [ctb]
Maintainer: Martin Maechler <maechler@stat.math.ethz.ch>
Diff between Rmpfr versions 1.1-1 dated 2025-07-18 and 1.1-2 dated 2025-10-27
Rmpfr-1.1-1/Rmpfr/src/Makevars.win |only Rmpfr-1.1-2/Rmpfr/DESCRIPTION | 16 Rmpfr-1.1-2/Rmpfr/MD5 | 60 Rmpfr-1.1-2/Rmpfr/NAMESPACE | 1 Rmpfr-1.1-2/Rmpfr/R/AllClasses.R | 13 Rmpfr-1.1-2/Rmpfr/R/Math.R | 2 Rmpfr-1.1-2/Rmpfr/R/as.R | 3 Rmpfr-1.1-2/Rmpfr/R/gmp-convert.R | 3 Rmpfr-1.1-2/Rmpfr/R/mpfr.R | 2 Rmpfr-1.1-2/Rmpfr/R/special-fun.R | 5 Rmpfr-1.1-2/Rmpfr/TODO | 2 Rmpfr-1.1-2/Rmpfr/build/partial.rdb |binary Rmpfr-1.1-2/Rmpfr/build/vignette.rds |binary Rmpfr-1.1-2/Rmpfr/cleanup | 4 Rmpfr-1.1-2/Rmpfr/cleanup.win |only Rmpfr-1.1-2/Rmpfr/configure | 3249 +++++++++------- Rmpfr-1.1-2/Rmpfr/configure.ac | 14 Rmpfr-1.1-2/Rmpfr/configure.win |only Rmpfr-1.1-2/Rmpfr/inst/NEWS.Rd | 32 Rmpfr-1.1-2/Rmpfr/inst/doc/Maechler_useR_2011-abstr.pdf |binary Rmpfr-1.1-2/Rmpfr/inst/doc/Rmpfr-pkg.pdf |binary Rmpfr-1.1-2/Rmpfr/inst/doc/log1mexp-note.pdf |binary Rmpfr-1.1-2/Rmpfr/man/formatMpfr.Rd | 62 Rmpfr-1.1-2/Rmpfr/man/mpfr-class.Rd | 17 Rmpfr-1.1-2/Rmpfr/man/mpfr-utils.Rd | 70 Rmpfr-1.1-2/Rmpfr/man/mpfr.Rd | 9 Rmpfr-1.1-2/Rmpfr/man/qnormI.Rd | 3 Rmpfr-1.1-2/Rmpfr/src/Makevars.in | 4 Rmpfr-1.1-2/Rmpfr/src/Rmpfr_utils.h | 5 Rmpfr-1.1-2/Rmpfr/src/config.h.in |only Rmpfr-1.1-2/Rmpfr/src/convert.c | 49 Rmpfr-1.1-2/Rmpfr/src/init.c | 1 Rmpfr-1.1-2/Rmpfr/src/utils.c | 12 33 files changed, 2225 insertions(+), 1413 deletions(-)
Title: Miscellaneous Functions 'T. Yanagida'
Description: Miscellaneous functions for (1) data handling (e.g., grand-mean and group-mean centering, coding variables and reverse coding items, scale and cluster scores, reading and writing Excel and SPSS files), (2) descriptive statistics (e.g., frequency table, cross tabulation, effect size measures), (3) missing data (e.g., descriptive statistics for missing data, missing data pattern, Little's test of Missing Completely at Random, and auxiliary variable analysis), (4) multilevel data (e.g., multilevel descriptive statistics, within-group and between-group correlation matrix, multilevel confirmatory factor analysis, level-specific fit indices, cross-level measurement equivalence evaluation, multilevel composite reliability, and multilevel R-squared measures), (5) item analysis (e.g., confirmatory factor analysis, coefficient alpha and omega, between-group and longitudinal measurement equivalence evaluation), (6) statistical analysis (e.g., bootstrap confidence intervals, collinearity and resid [...truncated...]
Author: Takuya Yanagida [aut, cre]
Maintainer: Takuya Yanagida <takuya.yanagida@univie.ac.at>
Diff between misty versions 0.7.5 dated 2025-09-06 and 0.7.6 dated 2025-10-27
misty-0.7.5/misty/R/result.lca.R |only misty-0.7.5/misty/man/result.lca.Rd |only misty-0.7.6/misty/DESCRIPTION | 8 misty-0.7.6/misty/MD5 | 34 +- misty-0.7.6/misty/NAMESPACE | 2 misty-0.7.6/misty/NEWS.md | 13 misty-0.7.6/misty/R/indirect.R | 417 +++++++++++-------------------- misty-0.7.6/misty/R/item.cfa.R | 9 misty-0.7.6/misty/R/mplus.lca.R | 6 misty-0.7.6/misty/R/mplus.lca.summa.R |only misty-0.7.6/misty/R/multilevel.cfa.R | 10 misty-0.7.6/misty/R/multilevel.cor.R | 37 +- misty-0.7.6/misty/R/utils.R | 84 ++++++ misty-0.7.6/misty/R/write.result.R | 16 - misty-0.7.6/misty/man/coeff.robust.Rd | 1 misty-0.7.6/misty/man/indirect.Rd | 109 ++++---- misty-0.7.6/misty/man/mplus.lca.Rd | 6 misty-0.7.6/misty/man/mplus.lca.summa.Rd |only misty-0.7.6/misty/man/multilevel.cor.Rd | 30 -- misty-0.7.6/misty/man/write.result.Rd | 2 20 files changed, 390 insertions(+), 394 deletions(-)
Title: Graph/Network Analysis Based on L1 Centrality
Description: Analyze graph/network data using L1 centrality and prestige. Functions for deriving global, local, and group L1 centrality/prestige are provided. Routines for visual inspection of a graph/network are also provided. Details are in Kang and Oh (2025a) <doi:10.1080/01621459.2025.2520467>, Kang and Oh (2025b) <doi:10.1080/00031305.2025.2563730>, and Kang (2025) <doi:10.23170/snu.000000188358.11032.0001856>.
Author: Seungwoo Kang [aut, cre] ,
Hee-Seok Oh [aut]
Maintainer: Seungwoo Kang <kangsw0401@snu.ac.kr>
Diff between L1centrality versions 0.3.1 dated 2025-01-07 and 0.4.0 dated 2025-10-27
L1centrality-0.3.1/L1centrality/man/Summary.Rd |only L1centrality-0.4.0/L1centrality/DESCRIPTION | 17 - L1centrality-0.4.0/L1centrality/MD5 | 54 ++--- L1centrality-0.4.0/L1centrality/NAMESPACE | 4 L1centrality-0.4.0/L1centrality/NEWS.md | 31 ++ L1centrality-0.4.0/L1centrality/R/L1cent.R | 77 +++++-- L1centrality-0.4.0/L1centrality/R/L1centEDGE.R | 73 +++++- L1centrality-0.4.0/L1centrality/R/L1centGROUP.R | 18 - L1centrality-0.4.0/L1centrality/R/L1centLOC.R | 129 ++++++++++-- L1centrality-0.4.0/L1centrality/R/L1centMDS.R | 43 ++-- L1centrality-0.4.0/L1centrality/R/L1centNB.R | 23 +- L1centrality-0.4.0/L1centrality/R/L1centrality-package.R | 6 L1centrality-0.4.0/L1centrality/R/Lorenz_plot.R | 17 - L1centrality-0.4.0/L1centrality/R/MCUmovie.R | 2 L1centrality-0.4.0/L1centrality/R/rokassembly21.R | 2 L1centrality-0.4.0/L1centrality/R/summary.R | 82 ++----- L1centrality-0.4.0/L1centrality/R/validate.R | 13 + L1centrality-0.4.0/L1centrality/inst |only L1centrality-0.4.0/L1centrality/man/Heterogeneity.Rd | 15 - L1centrality-0.4.0/L1centrality/man/L1cent.Rd | 77 +++++-- L1centrality-0.4.0/L1centrality/man/L1centEDGE.Rd | 51 +++- L1centrality-0.4.0/L1centrality/man/L1centGROUP.Rd | 12 - L1centrality-0.4.0/L1centrality/man/L1centLOC.Rd | 89 ++++++-- L1centrality-0.4.0/L1centrality/man/L1centMDS.Rd | 28 ++ L1centrality-0.4.0/L1centrality/man/L1centNB.Rd | 45 +++- L1centrality-0.4.0/L1centrality/man/L1centrality-package.Rd | 6 L1centrality-0.4.0/L1centrality/man/MCUmovie.Rd | 2 L1centrality-0.4.0/L1centrality/man/group_reduce.Rd | 16 + L1centrality-0.4.0/L1centrality/man/rokassembly21.Rd | 2 29 files changed, 666 insertions(+), 268 deletions(-)
Title: Statistical Toolbox for Radiometric Geochronology
Description: Plots U-Pb data on Wetherill and Tera-Wasserburg concordia diagrams. Calculates concordia and discordia ages. Performs linear regression of measurements with correlated errors using 'York', 'Titterington', 'Ludwig' and Omnivariant Generalised Least-Squares ('OGLS') approaches. Generates Kernel Density Estimates (KDEs) and Cumulative Age Distributions (CADs). Produces Multidimensional Scaling (MDS) configurations and Shepard plots of multi-sample detrital datasets using the Kolmogorov-Smirnov distance as a dissimilarity measure. Calculates 40Ar/39Ar ages, isochrons, and age spectra. Computes weighted means accounting for overdispersion. Calculates U-Th-He (single grain and central) ages, logratio plots and ternary diagrams. Processes fission track data using the external detector method and LA-ICP-MS, calculates central ages and plots fission track and other data on radial (a.k.a. 'Galbraith') plots. Constructs total Pb-U, Pb-Pb, Th-Pb, K-Ca, Re-Os, Sm-Nd, Lu-Hf, Rb-Sr and 230Th-U isoch [...truncated...]
Author: Pieter Vermeesch [aut, cre]
Maintainer: Pieter Vermeesch <p.vermeesch@ucl.ac.uk>
Diff between IsoplotR versions 6.7 dated 2025-07-30 and 6.8 dated 2025-10-27
DESCRIPTION | 10 +++++----- MD5 | 24 ++++++++++++------------ R/IsoplotR.R | 2 +- R/age.R | 7 +++++-- R/concordia.R | 38 ++++++++++++++++++++++---------------- R/fissiontracks.R | 2 +- R/flipper.R | 43 +++++++++++++++++++++++++++++++++++++------ R/isochron.R | 30 ++++++++++++++++++------------ README.md | 6 +++--- data/examples.rda |binary man/IsoplotR.Rd | 2 +- man/concordia.Rd | 3 +++ man/isochron.Rd | 2 +- 13 files changed, 109 insertions(+), 60 deletions(-)
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 Sa [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],
Rafae [...truncated...]
Maintainer: Eduardo Ogasawara <eogasawara@ieee.org>
Diff between daltoolbox versions 1.2.737 dated 2025-08-20 and 1.2.747 dated 2025-10-27
DESCRIPTION | 8 - MD5 | 243 ++++++++++++++++++++-------------------- R/autoenc_base_e.R | 22 ++- R/autoenc_base_ed.R | 22 ++- R/cla_classification.R | 8 - R/cla_dtree.R | 15 +- R/cla_knn.R | 12 + R/cla_majority.R | 7 - R/cla_mlp.R | 14 +- R/cla_nb.R | 8 - R/cla_rf.R | 12 + R/cla_svm.R | 14 +- R/cla_tune.R | 8 - R/clu_clusterer.R | 9 + R/clu_dbscan.R | 10 + R/clu_kmeans.R | 10 + R/clu_pam.R | 10 - R/clu_tune.R | 10 - R/dal_adjust.R | 14 +- R/dal_base.R | 18 +- R/dal_learner.R | 12 + R/dal_predictor.R | 11 - R/dal_tune.R | 13 +- R/data.R | 2 R/graphics.R | 265 +++++++++++++++++++++++++------------------- R/reg_dtree.R | 11 + R/reg_knn.R | 11 + R/reg_mlp.R | 12 + R/reg_regression.R | 8 - R/reg_rf.R | 16 ++ R/reg_svm.R | 12 + R/reg_tune.R | 8 - R/trans_categ_mapping.R | 9 - R/trans_dt_pca.R | 20 ++- R/trans_fit_curvature_max.R | 9 + R/trans_fit_curvature_min.R | 9 + R/trans_norm_minmax.R | 12 + R/trans_norm_zscore.R | 9 + R/trans_outliers_boxplot.R | 15 +- R/trans_outliers_gaussian.R | 11 + R/trans_sample.R | 17 -- R/trans_sample_random.R | 8 - R/trans_sample_strat.R | 8 - R/trans_smoothing.R | 16 +- R/trans_smoothing_cluster.R | 12 + R/trans_smoothing_freq.R | 8 - R/trans_smoothing_inter.R | 9 + R/trans_transform.R | 18 +- man/action.Rd | 2 man/action.dal_transform.Rd | 2 man/adjust_class_label.Rd | 6 man/adjust_data.frame.Rd | 2 man/adjust_factor.Rd | 5 man/adjust_matrix.Rd | 2 man/autoenc_base_e.Rd | 23 ++- man/autoenc_base_ed.Rd | 23 ++- man/categ_mapping.Rd | 10 + man/cla_dtree.Rd | 14 +- man/cla_knn.Rd | 11 + man/cla_majority.Rd | 5 man/cla_mlp.Rd | 12 + man/cla_nb.Rd | 9 + man/cla_rf.Rd | 11 + man/cla_svm.Rd | 13 +- man/cla_tune.Rd | 7 - man/classification.Rd | 5 man/clu_tune.Rd | 8 - man/cluster.Rd | 2 man/cluster_dbscan.Rd | 11 + man/cluster_kmeans.Rd | 12 + man/cluster_pam.Rd | 12 + man/clusterer.Rd | 2 man/dal_base.Rd | 5 man/dal_graphics.Rd |only man/dal_learner.Rd | 11 - man/dal_transform.Rd | 11 + man/dal_tune.Rd | 10 + man/data_sample.Rd | 13 -- man/dt_pca.Rd | 16 +- man/fit.Rd | 2 man/fit_curvature_max.Rd | 5 man/fit_curvature_min.Rd | 5 man/inverse_transform.Rd | 2 man/k_fold.Rd | 2 man/minmax.Rd | 8 + man/outliers_boxplot.Rd | 14 +- man/outliers_gaussian.Rd | 10 - man/plot_bar.Rd | 18 +- man/plot_boxplot.Rd | 16 +- man/plot_boxplot_class.Rd | 18 +- man/plot_density.Rd | 20 +-- man/plot_density_class.Rd | 20 +-- man/plot_groupedbar.Rd | 16 +- man/plot_hist.Rd | 16 +- man/plot_lollipop.Rd | 26 ++-- man/plot_pieplot.Rd | 17 +- man/plot_points.Rd | 14 +- man/plot_radar.Rd | 13 +- man/plot_scatter.Rd | 13 +- man/plot_series.Rd | 14 +- man/plot_stackedbar.Rd | 16 +- man/plot_ts.Rd | 15 +- man/plot_ts_pred.Rd | 27 ++-- man/predictor.Rd | 9 - man/reg_dtree.Rd | 11 + man/reg_knn.Rd | 11 + man/reg_mlp.Rd | 11 + man/reg_rf.Rd | 15 +- man/reg_svm.Rd | 13 +- man/reg_tune.Rd | 7 - man/regression.Rd | 5 man/sample_random.Rd | 5 man/sample_stratified.Rd | 6 man/select_hyper.Rd | 4 man/set_params.Rd | 2 man/set_params.default.Rd | 2 man/smoothing.Rd | 14 +- man/smoothing_cluster.Rd | 11 - man/smoothing_freq.Rd | 8 - man/smoothing_inter.Rd | 8 - man/train_test.Rd | 2 man/transform.Rd | 2 man/zscore.Rd | 8 + 123 files changed, 1129 insertions(+), 672 deletions(-)
Title: Colors for all
Description: Color palettes for all people, including those with color vision deficiency. Popular color palette series have been organized by type and have been scored on several properties such as color-blind-friendliness and fairness (i.e. do colors stand out equally?). Own palettes can also be loaded and analysed. Besides the common palette types (categorical, sequential, and diverging) it also includes cyclic and bivariate color palettes. Furthermore, a color for missing values is assigned to each palette.
Author: Martijn Tennekes [aut, cre],
Marco Puts [ctb],
Achim Zeileis [ctb],
Jakub Nowosad [ctb],
Robin Lovelace [ctb],
Helgasoft [ctb],
Matthew Petroff [ctb],
Olivier Roy [ctb]
Maintainer: Martijn Tennekes <mtennekes@gmail.com>
Diff between cols4all versions 0.9 dated 2025-08-28 and 0.10 dated 2025-10-27
DESCRIPTION | 8 ++++---- MD5 | 20 ++++++++++---------- NEWS.md | 7 +++++++ R/c4a_gui.R | 4 ++-- R/c4a_plot_X_matrix.R | 5 +++-- R/c4a_table.R | 10 ++++++---- R/check_pals.R | 7 +++++++ R/show_attach_scores.R | 12 ++++++------ R/sysdata.rda |binary man/c4a_gui.Rd | 4 ++-- man/c4a_palettes.Rd | 2 +- 11 files changed, 48 insertions(+), 31 deletions(-)
Title: Python-Based Extensions for Data Analytics Workflows
Description: Provides Python-based extensions to enhance data analytics workflows,
particularly for tasks involving data preprocessing and predictive modeling.
Includes tools for data sampling, transformation, feature selection,
balancing strategies (e.g., SMOTE), and model construction.
These capabilities leverage Python libraries via the reticulate interface,
enabling seamless integration with a broader machine learning ecosystem.
Supports instance selection and hybrid workflows that combine R and Python
functionalities for flexible and reproducible analytical pipelines.
The architecture is inspired by the Experiment Lines approach, which promotes
modularity, extensibility, and interoperability across tools.
More information on Experiment Lines is available in
Ogasawara et al. (2009) <doi:10.1007/978-3-642-02279-1_20>.
Author: Eduardo Ogasawara [aut, ths, cre] ,
Diego Salles [aut],
Janio Lima [aut],
Lucas Tavares [aut],
Eduardo Bezerra [ctb],
CEFET/RJ [cph]
Maintainer: Eduardo Ogasawara <eogasawara@ieee.org>
Diff between daltoolboxdp versions 1.2.727 dated 2025-06-29 and 1.2.737 dated 2025-10-27
daltoolboxdp-1.2.727/daltoolboxdp/inst/python/clusters |only daltoolboxdp-1.2.727/daltoolboxdp/inst/python/feature_select |only daltoolboxdp-1.2.727/daltoolboxdp/inst/python/imbalanced |only daltoolboxdp-1.2.737/daltoolboxdp/DESCRIPTION | 8 daltoolboxdp-1.2.737/daltoolboxdp/MD5 | 174 ++++------ daltoolboxdp-1.2.737/daltoolboxdp/R/autoenc_adv_e.R | 28 + daltoolboxdp-1.2.737/daltoolboxdp/R/autoenc_adv_ed.R | 27 + daltoolboxdp-1.2.737/daltoolboxdp/R/autoenc_conv_e.R | 21 - daltoolboxdp-1.2.737/daltoolboxdp/R/autoenc_conv_ed.R | 21 - daltoolboxdp-1.2.737/daltoolboxdp/R/autoenc_denoise_e.R | 29 + daltoolboxdp-1.2.737/daltoolboxdp/R/autoenc_denoise_ed.R | 31 + daltoolboxdp-1.2.737/daltoolboxdp/R/autoenc_e.R | 53 ++- daltoolboxdp-1.2.737/daltoolboxdp/R/autoenc_ed.R | 51 ++ daltoolboxdp-1.2.737/daltoolboxdp/R/autoenc_lstm_e.R | 23 + daltoolboxdp-1.2.737/daltoolboxdp/R/autoenc_lstm_ed.R | 40 +- daltoolboxdp-1.2.737/daltoolboxdp/R/autoenc_stacked_e.R | 26 + daltoolboxdp-1.2.737/daltoolboxdp/R/autoenc_stacked_ed.R | 27 + daltoolboxdp-1.2.737/daltoolboxdp/R/autoenc_variational_e.R | 31 + daltoolboxdp-1.2.737/daltoolboxdp/R/autoenc_variational_ed.R | 31 + daltoolboxdp-1.2.737/daltoolboxdp/R/bal_oversampling.R | 25 + daltoolboxdp-1.2.737/daltoolboxdp/R/bal_subsampling.R | 24 + daltoolboxdp-1.2.737/daltoolboxdp/R/fs.R | 25 + daltoolboxdp-1.2.737/daltoolboxdp/R/fs_fss.R | 25 + daltoolboxdp-1.2.737/daltoolboxdp/R/fs_ig.R | 29 + daltoolboxdp-1.2.737/daltoolboxdp/R/fs_lasso.R | 26 + daltoolboxdp-1.2.737/daltoolboxdp/R/fs_relief.R | 29 + daltoolboxdp-1.2.737/daltoolboxdp/R/globals.R | 15 daltoolboxdp-1.2.737/daltoolboxdp/R/skcla_gb.R | 20 - daltoolboxdp-1.2.737/daltoolboxdp/R/skcla_knn.R | 27 + daltoolboxdp-1.2.737/daltoolboxdp/R/skcla_mlp.R | 28 + daltoolboxdp-1.2.737/daltoolboxdp/R/skcla_nb.R | 25 + daltoolboxdp-1.2.737/daltoolboxdp/R/skcla_rf.R | 29 + daltoolboxdp-1.2.737/daltoolboxdp/R/skcla_svc.R | 27 + daltoolboxdp-1.2.737/daltoolboxdp/R/ts_conv1d.R | 34 + daltoolboxdp-1.2.737/daltoolboxdp/R/ts_lstm.R | 32 + daltoolboxdp-1.2.737/daltoolboxdp/README.md | 36 -- daltoolboxdp-1.2.737/daltoolboxdp/inst/python/autoenc.py | 55 ++- daltoolboxdp-1.2.737/daltoolboxdp/inst/python/autoenc_adv.py | 24 + daltoolboxdp-1.2.737/daltoolboxdp/inst/python/autoenc_conv.py | 22 + daltoolboxdp-1.2.737/daltoolboxdp/inst/python/autoenc_denoise.py | 21 + daltoolboxdp-1.2.737/daltoolboxdp/inst/python/autoenc_lstm.py | 23 + daltoolboxdp-1.2.737/daltoolboxdp/inst/python/autoenc_stacked.py | 25 + daltoolboxdp-1.2.737/daltoolboxdp/inst/python/autoenc_variational.py | 22 + daltoolboxdp-1.2.737/daltoolboxdp/inst/python/skcla_gb.py | 12 daltoolboxdp-1.2.737/daltoolboxdp/inst/python/skcla_knn.py | 11 daltoolboxdp-1.2.737/daltoolboxdp/inst/python/skcla_mlp.py | 11 daltoolboxdp-1.2.737/daltoolboxdp/inst/python/skcla_nb.py | 13 daltoolboxdp-1.2.737/daltoolboxdp/inst/python/skcla_rf.py | 14 daltoolboxdp-1.2.737/daltoolboxdp/inst/python/skcla_svc.py | 12 daltoolboxdp-1.2.737/daltoolboxdp/inst/python/skimb_smote.py | 38 +- daltoolboxdp-1.2.737/daltoolboxdp/inst/python/skimb_smote_tomek.py | 38 +- daltoolboxdp-1.2.737/daltoolboxdp/inst/python/skimb_tomek_links.py | 38 +- daltoolboxdp-1.2.737/daltoolboxdp/inst/python/ts_conv1d.py | 18 - daltoolboxdp-1.2.737/daltoolboxdp/inst/python/ts_lstm.py | 18 - daltoolboxdp-1.2.737/daltoolboxdp/man/autoenc_adv_e.Rd | 29 + daltoolboxdp-1.2.737/daltoolboxdp/man/autoenc_adv_ed.Rd | 27 + daltoolboxdp-1.2.737/daltoolboxdp/man/autoenc_conv_e.Rd | 21 - daltoolboxdp-1.2.737/daltoolboxdp/man/autoenc_conv_ed.Rd | 20 - daltoolboxdp-1.2.737/daltoolboxdp/man/autoenc_denoise_e.Rd | 28 + daltoolboxdp-1.2.737/daltoolboxdp/man/autoenc_denoise_ed.Rd | 30 + daltoolboxdp-1.2.737/daltoolboxdp/man/autoenc_e.Rd | 46 ++ daltoolboxdp-1.2.737/daltoolboxdp/man/autoenc_ed.Rd | 47 ++ daltoolboxdp-1.2.737/daltoolboxdp/man/autoenc_lstm_e.Rd | 22 - daltoolboxdp-1.2.737/daltoolboxdp/man/autoenc_lstm_ed.Rd | 33 + daltoolboxdp-1.2.737/daltoolboxdp/man/autoenc_stacked_e.Rd | 26 + daltoolboxdp-1.2.737/daltoolboxdp/man/autoenc_stacked_ed.Rd | 25 - daltoolboxdp-1.2.737/daltoolboxdp/man/autoenc_variational_e.Rd | 30 + daltoolboxdp-1.2.737/daltoolboxdp/man/autoenc_variational_ed.Rd | 30 + daltoolboxdp-1.2.737/daltoolboxdp/man/bal_oversampling.Rd | 23 + daltoolboxdp-1.2.737/daltoolboxdp/man/bal_subsampling.Rd | 19 - daltoolboxdp-1.2.737/daltoolboxdp/man/fs.Rd | 23 + daltoolboxdp-1.2.737/daltoolboxdp/man/fs_fss.Rd | 22 - daltoolboxdp-1.2.737/daltoolboxdp/man/fs_ig.Rd | 27 + daltoolboxdp-1.2.737/daltoolboxdp/man/fs_lasso.Rd | 24 - daltoolboxdp-1.2.737/daltoolboxdp/man/fs_relief.Rd | 27 + daltoolboxdp-1.2.737/daltoolboxdp/man/skcla_gb.Rd | 21 - daltoolboxdp-1.2.737/daltoolboxdp/man/skcla_knn.Rd | 27 + daltoolboxdp-1.2.737/daltoolboxdp/man/skcla_mlp.Rd | 28 + daltoolboxdp-1.2.737/daltoolboxdp/man/skcla_nb.Rd | 25 + daltoolboxdp-1.2.737/daltoolboxdp/man/skcla_rf.Rd | 27 + daltoolboxdp-1.2.737/daltoolboxdp/man/skcla_svc.Rd | 27 + daltoolboxdp-1.2.737/daltoolboxdp/man/ts_conv1d.Rd | 28 + daltoolboxdp-1.2.737/daltoolboxdp/man/ts_lstm.Rd | 28 + 83 files changed, 1735 insertions(+), 547 deletions(-)