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Title: Univariate Time Series Forecasting
Description: An engine for univariate time series forecasting using
different regression models in an autoregressive way. The engine
provides an uniform interface for applying the different models.
Furthermore, it is extensible so that users can easily apply their
own regression models to univariate time series forecasting and
benefit from all the features of the engine, such as preprocessings
or estimation of forecast accuracy.
Author: Maria Pilar Frias-Bustamante [aut] ,
Francisco Martinez [aut, cre, cph]
Maintainer: Francisco Martinez <fmartin@ujaen.es>
Diff between utsf versions 1.3.0 dated 2025-07-08 and 1.3.1 dated 2025-10-23
utsf-1.3.0/utsf/man/trend.Rd |only utsf-1.3.1/utsf/DESCRIPTION | 9 utsf-1.3.1/utsf/MD5 | 37 - utsf-1.3.1/utsf/NAMESPACE | 1 utsf-1.3.1/utsf/NEWS.md | 7 utsf-1.3.1/utsf/R/build_models.R | 2 utsf-1.3.1/utsf/R/estimate_accuracy.R | 4 utsf-1.3.1/utsf/R/first_differences.R | 34 utsf-1.3.1/utsf/R/main.R | 98 +- utsf-1.3.1/utsf/R/print_utsf.R | 12 utsf-1.3.1/utsf/R/recursive_prediction.R | 4 utsf-1.3.1/utsf/R/simulations.R | 2 utsf-1.3.1/utsf/README.md | 8 utsf-1.3.1/utsf/inst/doc/utsf.R | 121 ++- utsf-1.3.1/utsf/inst/doc/utsf.Rmd | 276 +++++-- utsf-1.3.1/utsf/inst/doc/utsf.html | 848 ++++++++++++++--------- utsf-1.3.1/utsf/man/create_model.Rd | 24 utsf-1.3.1/utsf/man/figures/README-example-1.png |binary utsf-1.3.1/utsf/man/forecast.utsf.Rd | 2 utsf-1.3.1/utsf/vignettes/utsf.Rmd | 276 +++++-- 20 files changed, 1200 insertions(+), 565 deletions(-)
Title: Machine Learning Classification and Regression Methods
Description: Facilitates the use of machine learning algorithms in classification and regression (including time series forecasting) tasks by presenting a short and coherent set of functions. Versions: 1.5.0 improved mparheuristic function (new hyperparameter heuristics); 1.4.9 / 1.4.8 improved help, several warning and error code fixes (more stable version, all examples run correctly); 1.4.7 - improved Importance function and examples, minor error fixes; 1.4.6 / 1.4.5 / 1.4.4 new automated machine learning (AutoML) and ensembles, via improved fit(), mining() and mparheuristic() functions, and new categorical preprocessing, via improved delevels() function; 1.4.3 new metrics (e.g., macro precision, explained variance), new "lssvm" model and improved mparheuristic() function; 1.4.2 new "NMAE" metric, "xgboost" and "cv.glmnet" models (16 classification and 18 regression models); 1.4.1 new tutorial and more robust version; 1.4 - new classification and regression models, with a total of 14 classificati [...truncated...]
Author: Paulo Cortez [aut, cre]
Maintainer: Paulo Cortez <pcortez@dsi.uminho.pt>
Diff between rminer versions 1.4.9 dated 2025-06-04 and 1.5.0 dated 2025-10-23
DESCRIPTION | 13 ++++++------- MD5 | 34 +++++++++++++++++----------------- NAMESPACE | 2 +- R/model.R | 43 +++++++++++++++++++++++++++++++++++++++---- man/CasesSeries.Rd | 4 ++-- man/Importance.Rd | 6 +++--- man/delevels.Rd | 6 +++--- man/fit.Rd | 7 +++---- man/holdout.Rd | 2 +- man/imputation.Rd | 6 +++--- man/lforecast.Rd | 4 ++-- man/mgraph.Rd | 9 ++++----- man/mining.Rd | 9 ++++----- man/mmetric.Rd | 9 ++++----- man/mparheuristic.Rd | 41 +++++++++++++++++++++++++++++++++-------- man/predict-methods.Rd | 5 ++--- man/savemining.Rd | 2 +- man/vecplot.Rd | 2 +- 18 files changed, 129 insertions(+), 75 deletions(-)
Title: a Keep It Simple Species Migration Model
Description: Simulating species migration and range dynamics under stable or changing environmental conditions based on a simple, raster-based, deterministic or stochastic migration model. KISSMig runs on binary or quantitative suitability maps, which are pre-calculated with niche-based habitat suitability models (also called ecological niche models (ENMs) or species distribution models (SDMs)). Nobis & Normand (2014), <doi:10.1111/ecog.00930>.
Author: Michael P. Nobis [cre, aut] ,
Signe Normand [ctb] ,
Dominik F. Landolt [ctb]
Maintainer: Michael P. Nobis <michael.nobis@wsl.ch>
Diff between kissmig versions 2.0-0 dated 2025-05-05 and 2.0-1 dated 2025-10-23
DESCRIPTION | 21 +++++----- MD5 | 12 +++--- NEWS | 21 ++++++---- R/kissmig.R | 41 ++++++++++---------- R/zzz.R | 2 - man/kissmig.Rd | 35 +++++++++-------- src/kissmig_c.cpp | 107 +++++++++++++++++++++++++++++++++--------------------- 7 files changed, 136 insertions(+), 103 deletions(-)
Title: Generate Predicted Writing Quality Scores
Description: Imports variables from 'ReaderBench' (Dascalu et al.,
2018)<doi:10.1007/978-3-319-66610-5_48>, 'Coh-Metrix' (McNamara et
al., 2014)<doi:10.1017/CBO9780511894664>, and/or 'GAMET' (Crossley et
al., 2019) <doi:10.17239/jowr-2019.11.02.01> output files; downloads
predictive scoring models described in Mercer & Cannon
(2022)<doi:10.31244/jero.2022.01.03> and Mercer et
al.(2021)<doi:10.1177/0829573520987753>; and generates predicted
writing quality and curriculum-based measurement (McMaster & Espin,
2007)<doi:10.1177/00224669070410020301> scores.
Author: Sterett H. Mercer [aut, cre]
Maintainer: Sterett H. Mercer <sterett.mercer@ubc.ca>
Diff between writeAlizer versions 1.7.0 dated 2025-10-21 and 1.7.1 dated 2025-10-23
DESCRIPTION | 8 ++++---- MD5 | 10 +++++----- NEWS.md | 8 ++++++++ R/predict_values.R | 10 ++++++++++ man/predict_quality.Rd | 10 ++++++++++ tests/testthat/test-integration-predict_quality.R | 2 ++ 6 files changed, 39 insertions(+), 9 deletions(-)
Title: Extract and Tidy Canadian 'Hydrometric' Data
Description: Provides functions to access historical and real-time national 'hydrometric'
data from Water Survey of Canada data sources and then applies tidy data principles.
Author: Sam Albers [aut, cre] ,
David Hutchinson [ctb],
Dewey Dunnington [ctb],
Ryan Whaley [ctb],
Province of British Columbia [cph],
Government of Canada [dtc],
Luke Winslow [rev] ,
Laura DeCicco [rev]
Maintainer: Sam Albers <sam.albers@gmail.com>
Diff between tidyhydat versions 0.7.1 dated 2025-03-11 and 0.7.2 dated 2025-10-23
DESCRIPTION | 11 +- MD5 | 56 +++++++------- NEWS.md | 5 + R/realtime-webservice.R | 4 - R/realtime.R | 67 +++++++++++------ R/utils-realtime.R | 80 +++++++++++--------- README.md | 105 +++++++++++++-------------- build/partial.rdb |binary build/vignette.rds |binary data/allstations.rda |binary data/hy_data_symbols.rda |binary data/hy_data_types.rda |binary inst/doc/tidyhydat_an_introduction.Rmd | 62 +++++++-------- inst/doc/tidyhydat_an_introduction.html | 71 +++++++++--------- inst/doc/tidyhydat_example_analysis.Rmd | 22 ++--- inst/doc/tidyhydat_example_analysis.html | 31 ++++--- inst/doc/tidyhydat_hydat_db.Rmd | 16 ++-- inst/doc/tidyhydat_hydat_db.html | 23 +++-- man/figures/README-unnamed-chunk-7-1.png |binary man/figures/README-unnamed-chunk-8-1.png |binary man/figures/README-unnamed-chunk-9-1.png |binary man/tidyhydat-package.Rd | 2 tests/testthat/test_download_realtime.R | 24 ++++++ tests/testthat/test_realtime_network.R | 14 +++ vignettes/tidyhydat_an_introduction.Rmd | 62 +++++++-------- vignettes/tidyhydat_example_analysis.Rmd | 22 ++--- vignettes/tidyhydat_hydat_db.Rmd | 16 ++-- vignettes/vignette-fig-pcrtile_plt-1.png |binary vignettes/vignette-fig-unnamed-chunk-8-1.png |binary 29 files changed, 385 insertions(+), 308 deletions(-)
Title: Improves the Interpretation of the Standardized Precipitation
Index Under Changing Climate Conditions
Description: Improves the interpretation of the Standardized Precipitation
Index under changing climate conditions. The package uses the
nonstationary approach proposed in Blain et al. (2022)
<doi:10.1002/joc.7550> to detect trends in rainfall quantities and to
quantify the effect of such trends on the probability of a drought event
occurring.
Author: Gabriel Constantino Blain [aut, cre] ,
Graciela R. Sobierajski [aut] ,
Leticia L. Martins [aut] ,
Adam H. Sparks [aut]
Maintainer: Gabriel Constantino Blain <gabriel.blain@sp.gov.br>
Diff between SPIChanges versions 0.2.0 dated 2025-06-06 and 0.2.1 dated 2025-10-23
DESCRIPTION | 8 ++-- MD5 | 20 +++++------ NEWS.md | 6 +++ R/CampinasRain.R | 26 +++++++------- R/SPIChanges.R | 44 ++++++++++++------------- R/TSaggreg.R | 30 ++++++++++------- build/vignette.rds |binary inst/doc/CaseStudies.html | 19 +++++----- inst/doc/SPIChanges.html | 5 +- man/CampinasRain.Rd | 54 +++++++++++++++---------------- man/TSaggreg.Rd | 80 +++++++++++++++++++++++----------------------- 11 files changed, 153 insertions(+), 139 deletions(-)
Title: Modeling of Revealed Preferences Matchings
Description: Statistical estimation of revealed preference models from data collected on bipartite matchings. The models are for matchings within a bipartite population where individuals have utility for people based on known and unknown characteristics. People can form a partnership or remain unpartnered. The model represents both the availability of potential partners of different types and preferences of individuals for such people. The software estimates preference parameters based on sample survey data on partnerships and population composition. The simulation of matchings and goodness-of-fit are considered. See Goyal, Handcock, Jackson, Rendall and Yeung (2022) <doi:10.1093/jrsssa/qnad031>.
Author: Mark S. Handcock [aut, cre] ,
Ryan M. Admiraal [ctb],
Fiona C. Yeung [ctb],
Heide M. Jackson [ctb],
Michael S. Rendall [ctb],
Shuchi Goyal [ctb]
Maintainer: Mark S. Handcock <handcock@stat.ucla.edu>
Diff between rpm versions 0.7-3 dated 2024-04-18 and 0.7-4 dated 2025-10-23
DESCRIPTION | 15 ++++++------ MD5 | 52 +++++++++++++++++++++++---------------------- NAMESPACE | 2 + R/RcppExports.R | 16 +++++++++++++ R/gof.rpm.R | 2 - R/rpm-terms.R | 2 - R/rpm.R | 2 - R/rpm.model.functions.R | 2 - R/rpm.model.matrix.R | 2 - R/rpmpopulationpmf.R | 2 - R/simulate.rpm.R | 2 - R/summary_rpm.R | 2 - build/partial.rdb |binary man/gof.Rd | 2 - man/rowwise_imax_idx.Rd |only man/rowwise_max_idx.Rd |only man/rpm-terms.Rd | 2 - man/rpm.Rd | 2 - man/rpm.model.functions.Rd | 2 - man/rpm.model.matrix.Rd | 2 - man/rpmpopulationpmf.Rd | 2 - man/simulate.rpm.Rd | 2 - man/summary_rpm.Rd | 2 - src/RcppExports.cpp | 8 +++--- src/rowwise_imax_idx.cpp | 21 +++++++++++------- src/rowwise_imax_idx.h | 2 - src/rowwise_max_idx.cpp | 21 +++++++++++------- src/rowwise_max_idx.h | 2 - 28 files changed, 101 insertions(+), 70 deletions(-)
Title: Multicountry Term Structure of Interest Rates Models
Description: Package for estimating, analyzing, and forecasting multi-country macro-finance affine term structure models (ATSMs). All setups build on the single-country unspanned macroeconomic risk framework from Joslin, Priebsch, and Singleton (2014, JF) <doi:10.1111/jofi.12131>. Multicountry extensions by Jotikasthira, Le, and Lundblad (2015, JFE) <doi:10.1016/j.jfineco.2014.09.004>, Candelon and Moura (2023, EM) <doi:10.1016/j.econmod.2023.106453>, and Candelon and Moura (2024, JFEC) <doi:10.1093/jjfinec/nbae008> are also available. The package also provides tools for bias correction as in Bauer Rudebusch and Wu (2012, JBES) <doi:10.1080/07350015.2012.693855>, bootstrap analysis, and several graphical/numerical outputs.
Author: Rubens Moura [aut, cre]
Maintainer: Rubens Moura <rubens.gtmoura@gmail.com>
Diff between MultiATSM versions 1.4.0 dated 2025-09-01 and 1.5.0 dated 2025-10-23
MultiATSM-1.4.0/MultiATSM/R/BR_jps_gro_R3.R |only MultiATSM-1.4.0/MultiATSM/R/CM_DomMacroFactors.R |only MultiATSM-1.4.0/MultiATSM/R/CM_DomMacroFactors_2023.R |only MultiATSM-1.4.0/MultiATSM/R/CM_Factors.R |only MultiATSM-1.4.0/MultiATSM/R/CM_Factors_GVAR.R |only MultiATSM-1.4.0/MultiATSM/R/CM_GlobalMacroFactors.R |only MultiATSM-1.4.0/MultiATSM/R/CM_GlobalMacro_2023.R |only MultiATSM-1.4.0/MultiATSM/R/CM_Trade.R |only MultiATSM-1.4.0/MultiATSM/R/CM_Trade_2023.R |only MultiATSM-1.4.0/MultiATSM/R/CM_Yields.R |only MultiATSM-1.4.0/MultiATSM/R/CM_Yields_2023.R |only MultiATSM-1.4.0/MultiATSM/R/CM_repJPS.R |only MultiATSM-1.4.0/MultiATSM/R/Functionf_vectorized.R |only MultiATSM-1.4.0/MultiATSM/R/MinorOptimizationFunctions.R |only MultiATSM-1.4.0/MultiATSM/R/Reg_K1Q.R |only MultiATSM-1.4.0/MultiATSM/data/BR_jps_gro_R3.rda |only MultiATSM-1.4.0/MultiATSM/data/CM_DomMacroFactors.rda |only MultiATSM-1.4.0/MultiATSM/data/CM_DomMacro_2023.rda |only MultiATSM-1.4.0/MultiATSM/data/CM_Factors.rda |only MultiATSM-1.4.0/MultiATSM/data/CM_Factors_2023.rda |only MultiATSM-1.4.0/MultiATSM/data/CM_Factors_GVAR.rda |only MultiATSM-1.4.0/MultiATSM/data/CM_GlobalMacroFactors.rda |only MultiATSM-1.4.0/MultiATSM/data/CM_GlobalMacro_2023.rda |only MultiATSM-1.4.0/MultiATSM/data/CM_Trade.rda |only MultiATSM-1.4.0/MultiATSM/data/CM_Trade_2023.rda |only MultiATSM-1.4.0/MultiATSM/data/CM_Yields.rda |only MultiATSM-1.4.0/MultiATSM/data/CM_Yields_2023.rda |only MultiATSM-1.4.0/MultiATSM/data/JPSrep.rda |only MultiATSM-1.4.0/MultiATSM/data/datalist |only MultiATSM-1.4.0/MultiATSM/inst/doc/Guidelines.R |only MultiATSM-1.4.0/MultiATSM/inst/doc/Guidelines.Rmd |only MultiATSM-1.4.0/MultiATSM/inst/doc/Guidelines.html |only MultiATSM-1.4.0/MultiATSM/man/A0N__BnAn.Rd |only MultiATSM-1.4.0/MultiATSM/man/Aux_BoundDiag.Rd |only MultiATSM-1.4.0/MultiATSM/man/Build_xvec.Rd |only MultiATSM-1.4.0/MultiATSM/man/Check_comparison__OLS.Rd |only MultiATSM-1.4.0/MultiATSM/man/Convert2JordanForm.Rd |only MultiATSM-1.4.0/MultiATSM/man/DomesticMacroVar.Rd |only MultiATSM-1.4.0/MultiATSM/man/FF.Rd |only MultiATSM-1.4.0/MultiATSM/man/FFtemporary.Rd |only MultiATSM-1.4.0/MultiATSM/man/FactorsGVAR.Rd |only MultiATSM-1.4.0/MultiATSM/man/Functionf.Rd |only MultiATSM-1.4.0/MultiATSM/man/Functionf_vectorized.Rd |only MultiATSM-1.4.0/MultiATSM/man/Get_V_tilde_BC.Rd |only MultiATSM-1.4.0/MultiATSM/man/GlobalMacroVar.Rd |only MultiATSM-1.4.0/MultiATSM/man/ModelPara.Rd |only MultiATSM-1.4.0/MultiATSM/man/ModelParaEx.Rd |only MultiATSM-1.4.0/MultiATSM/man/Out.Rd |only MultiATSM-1.4.0/MultiATSM/man/ParaATSM_opt_ALL.Rd |only MultiATSM-1.4.0/MultiATSM/man/Reg_K1Q.Rd |only MultiATSM-1.4.0/MultiATSM/man/RiskFactors.Rd |only MultiATSM-1.4.0/MultiATSM/man/StarFactors.Rd |only MultiATSM-1.4.0/MultiATSM/man/Trade_Flows.Rd |only MultiATSM-1.4.0/MultiATSM/man/True_BoundDiag.Rd |only MultiATSM-1.4.0/MultiATSM/man/bound2x.Rd |only MultiATSM-1.4.0/MultiATSM/man/df__dx.Rd |only MultiATSM-1.4.0/MultiATSM/man/estVARbrw.Rd |only MultiATSM-1.4.0/MultiATSM/man/genVARbrw.Rd |only MultiATSM-1.4.0/MultiATSM/man/m_var.Rd |only MultiATSM-1.4.0/MultiATSM/man/pos2x.Rd |only MultiATSM-1.4.0/MultiATSM/man/shrink_Phi.Rd |only MultiATSM-1.4.0/MultiATSM/man/sqrtm_robust.Rd |only MultiATSM-1.4.0/MultiATSM/man/x2bound.Rd |only MultiATSM-1.4.0/MultiATSM/man/x2pos.Rd |only MultiATSM-1.4.0/MultiATSM/vignettes/Guidelines.Rmd |only MultiATSM-1.5.0/MultiATSM/DESCRIPTION | 20 MultiATSM-1.5.0/MultiATSM/MD5 | 336 +-- MultiATSM-1.5.0/MultiATSM/NAMESPACE | 6 MultiATSM-1.5.0/MultiATSM/R/A0N__BnAn.R | 215 + MultiATSM-1.5.0/MultiATSM/R/BR_jps_out.R |only MultiATSM-1.5.0/MultiATSM/R/BiasCorrection.R | 650 +++-- MultiATSM-1.5.0/MultiATSM/R/Bootstrap.R | 333 +-- MultiATSM-1.5.0/MultiATSM/R/Buildx_xvec.R | 471 +--- MultiATSM-1.5.0/MultiATSM/R/Classes_Methods_All.R | 498 ++-- MultiATSM-1.5.0/MultiATSM/R/ConfidenceBoundsBootstrap.R | 429 ++- MultiATSM-1.5.0/MultiATSM/R/DataForEstimation.R | 114 - MultiATSM-1.5.0/MultiATSM/R/Data_DomMacro.R |only MultiATSM-1.5.0/MultiATSM/R/Data_DomMacro_covid.R |only MultiATSM-1.5.0/MultiATSM/R/Data_GVARFactors.R |only MultiATSM-1.5.0/MultiATSM/R/Data_GlobalMacro.R |only MultiATSM-1.5.0/MultiATSM/R/Data_GlobalMacro_covid.R |only MultiATSM-1.5.0/MultiATSM/R/Data_RiskFacFull.R |only MultiATSM-1.5.0/MultiATSM/R/Data_Trade.R |only MultiATSM-1.5.0/MultiATSM/R/Data_Trade_covid.R |only MultiATSM-1.5.0/MultiATSM/R/Data_Yields.R |only MultiATSM-1.5.0/MultiATSM/R/Data_Yields_covid.R |only MultiATSM-1.5.0/MultiATSM/R/DatabasePrep.R | 307 +- MultiATSM-1.5.0/MultiATSM/R/Example_InpOut.R | 6 MultiATSM-1.5.0/MultiATSM/R/Example_NumOut.R | 5 MultiATSM-1.5.0/MultiATSM/R/Example_Para.R | 13 MultiATSM-1.5.0/MultiATSM/R/Examples_Out.R | 7 MultiATSM-1.5.0/MultiATSM/R/Folder_Creation.R | 230 +- MultiATSM-1.5.0/MultiATSM/R/ForecastYields.R | 268 +- MultiATSM-1.5.0/MultiATSM/R/FunctionML_vec.R |only MultiATSM-1.5.0/MultiATSM/R/GVAR.R | 817 +++---- MultiATSM-1.5.0/MultiATSM/R/GraphicalOutputs.R | 676 +++--- MultiATSM-1.5.0/MultiATSM/R/InputsForOpt.R | 1104 ++++++---- MultiATSM-1.5.0/MultiATSM/R/InputsForOutputs.R | 234 +- MultiATSM-1.5.0/MultiATSM/R/JLL.R | 241 +- MultiATSM-1.5.0/MultiATSM/R/LabFac.R | 21 MultiATSM-1.5.0/MultiATSM/R/MLEdensity.R | 395 ++- MultiATSM-1.5.0/MultiATSM/R/MultiATSM.R | 7 MultiATSM-1.5.0/MultiATSM/R/NumOutputs.R | 1063 +++++---- MultiATSM-1.5.0/MultiATSM/R/NumOutputsBootstrap.R | 106 MultiATSM-1.5.0/MultiATSM/R/Optimization.R | 722 +++--- MultiATSM-1.5.0/MultiATSM/R/RiskFactorsPrep.R | 43 MultiATSM-1.5.0/MultiATSM/R/Spanned_Factors.R | 62 MultiATSM-1.5.0/MultiATSM/R/Transition_Matrix.R | 105 MultiATSM-1.5.0/MultiATSM/R/VAR.R | 56 MultiATSM-1.5.0/MultiATSM/R/meta-documentation.R |only MultiATSM-1.5.0/MultiATSM/R/pca_weights_one_country.R | 36 MultiATSM-1.5.0/MultiATSM/README.md |only MultiATSM-1.5.0/MultiATSM/build/vignette.rds |binary MultiATSM-1.5.0/MultiATSM/data/BR_jps_out.rda |only MultiATSM-1.5.0/MultiATSM/data/DomMacro.rda |only MultiATSM-1.5.0/MultiATSM/data/DomMacro_covid.rda |only MultiATSM-1.5.0/MultiATSM/data/GVARFactors.rda |only MultiATSM-1.5.0/MultiATSM/data/GlobalMacro.rda |only MultiATSM-1.5.0/MultiATSM/data/GlobalMacro_covid.rda |only MultiATSM-1.5.0/MultiATSM/data/InpForOutEx.rda |binary MultiATSM-1.5.0/MultiATSM/data/NumOutEx.rda |binary MultiATSM-1.5.0/MultiATSM/data/Out_Example.rda |binary MultiATSM-1.5.0/MultiATSM/data/ParaSetEx.rda |binary MultiATSM-1.5.0/MultiATSM/data/RiskFacFull.rda |only MultiATSM-1.5.0/MultiATSM/data/TradeFlows.rda |only MultiATSM-1.5.0/MultiATSM/data/TradeFlows_covid.rda |only MultiATSM-1.5.0/MultiATSM/data/Yields.rda |only MultiATSM-1.5.0/MultiATSM/data/Yields_covid.rda |only MultiATSM-1.5.0/MultiATSM/inst/doc/MultiATSM.R |only MultiATSM-1.5.0/MultiATSM/inst/doc/MultiATSM.Rmd |only MultiATSM-1.5.0/MultiATSM/inst/doc/MultiATSM.html |only MultiATSM-1.5.0/MultiATSM/inst/doc/Paper-Replications.R | 256 +- 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MultiATSM-1.5.0/MultiATSM/man/Est_RestOLS.Rd | 4 MultiATSM-1.5.0/MultiATSM/man/FEVDandGFEVDgraphs.Rd | 37 MultiATSM-1.5.0/MultiATSM/man/FeedMat_M.Rd |only MultiATSM-1.5.0/MultiATSM/man/FeedMat_Q.Rd |only MultiATSM-1.5.0/MultiATSM/man/Fitgraphs.Rd | 23 MultiATSM-1.5.0/MultiATSM/man/ForecastYields.Rd | 52 MultiATSM-1.5.0/MultiATSM/man/FunctionML_vec.Rd |only MultiATSM-1.5.0/MultiATSM/man/GVAR.Rd | 86 MultiATSM-1.5.0/MultiATSM/man/GVARFactors.Rd |only MultiATSM-1.5.0/MultiATSM/man/GaussianDensity.Rd | 4 MultiATSM-1.5.0/MultiATSM/man/Gen_art_series.Rd |only MultiATSM-1.5.0/MultiATSM/man/GeneralMLEInputs.Rd | 3 MultiATSM-1.5.0/MultiATSM/man/GetAuxPara.Rd | 38 MultiATSM-1.5.0/MultiATSM/man/GetTruePara.Rd | 16 MultiATSM-1.5.0/MultiATSM/man/Get_FeedMat_NoBC.Rd |only MultiATSM-1.5.0/MultiATSM/man/Get_SSZ_BC.Rd |only MultiATSM-1.5.0/MultiATSM/man/Get__BnXAnX.Rd |only MultiATSM-1.5.0/MultiATSM/man/Get_r0.Rd | 4 MultiATSM-1.5.0/MultiATSM/man/GlobalMacro.Rd | 24 MultiATSM-1.5.0/MultiATSM/man/GlobalMacro_covid.Rd |only MultiATSM-1.5.0/MultiATSM/man/IRFandGIRFgraphs.Rd | 35 MultiATSM-1.5.0/MultiATSM/man/ImposeStat_Aux.Rd | 6 MultiATSM-1.5.0/MultiATSM/man/ImposeStat_True.Rd | 10 MultiATSM-1.5.0/MultiATSM/man/InpForOutEx.Rd | 7 MultiATSM-1.5.0/MultiATSM/man/InputsForOpt.Rd | 112 - MultiATSM-1.5.0/MultiATSM/man/InputsForOutputs.Rd | 79 MultiATSM-1.5.0/MultiATSM/man/Intra_Yields.Rd |only MultiATSM-1.5.0/MultiATSM/man/InvMat_Robust.Rd |only MultiATSM-1.5.0/MultiATSM/man/JLL.Rd | 47 MultiATSM-1.5.0/MultiATSM/man/Jac_approx.Rd |only MultiATSM-1.5.0/MultiATSM/man/JordanMat.Rd |only MultiATSM-1.5.0/MultiATSM/man/LabFac.Rd | 18 MultiATSM-1.5.0/MultiATSM/man/LoadData.Rd | 7 MultiATSM-1.5.0/MultiATSM/man/Load_Excel_Data.Rd |only MultiATSM-1.5.0/MultiATSM/man/MLEdensity.Rd | 20 MultiATSM-1.5.0/MultiATSM/man/MLFunction.Rd |only MultiATSM-1.5.0/MultiATSM/man/ML_stable.Rd |only MultiATSM-1.5.0/MultiATSM/man/MLtemporary.Rd |only 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|only MultiATSM-1.5.0/MultiATSM/tests |only MultiATSM-1.5.0/MultiATSM/vignettes/MultiATSM.Rmd |only MultiATSM-1.5.0/MultiATSM/vignettes/Paper-Replications.Rmd | 202 + MultiATSM-1.5.0/MultiATSM/vignettes/references.bib | 10 229 files changed, 6457 insertions(+), 5476 deletions(-)
Title: Multiple Imputation in Causal Graph Discovery
Description: Modified functions of the package 'pcalg' and some additional functions
to run the PC and the FCI (Fast Causal Inference) algorithm for constraint-based
causal discovery in incomplete and multiply imputed datasets.
Foraita R, Friemel J, Günther K, Behrens T, Bullerdiek J, Nimzyk R, Ahrens W, Didelez V (2020) <doi:10.1111/rssa.12565>;
Andrews RM, Bang CW, Didelez V, Witte J, Foraita R (2021) <doi:10.1093/ije/dyae113>; Witte J, Foraita R, Didelez V (2022) <doi:10.1002/sim.9535>.
Author: Ronja Foraita [aut, cph, cre] ,
Janine Witte [aut]
Maintainer: Ronja Foraita <foraita@leibniz-bips.de>
Diff between micd versions 1.1.1 dated 2023-02-17 and 1.1.2 dated 2025-10-23
micd-1.1.1/micd/README.md |only micd-1.1.2/micd/DESCRIPTION | 15 - micd-1.1.2/micd/MD5 | 53 +++--- micd-1.1.2/micd/R/disCItwd.R | 2 micd-1.1.2/micd/R/disMItest.R | 4 micd-1.1.2/micd/R/flexCItwd.R | 4 micd-1.1.2/micd/R/flexMItest.R | 15 + micd-1.1.2/micd/R/getSuff.R | 2 micd-1.1.2/micd/R/mixCItwd.R | 4 micd-1.1.2/micd/R/mixMItest.R | 11 - micd-1.1.2/micd/R/pc.cons.internMI.R | 2 micd-1.1.2/micd/R/with_graph.R | 3 micd-1.1.2/micd/inst/CITATION | 35 ++-- micd-1.1.2/micd/man/disCItwd.Rd | 2 micd-1.1.2/micd/man/disMItest.Rd | 4 micd-1.1.2/micd/man/flexCItest.Rd | 6 micd-1.1.2/micd/man/flexCItwd.Rd | 100 ++++++------ micd-1.1.2/micd/man/flexMItest.Rd | 145 ++++++++--------- micd-1.1.2/micd/man/gaussCItwd.Rd | 118 +++++++------- micd-1.1.2/micd/man/gaussMItest.Rd | 140 ++++++++-------- micd-1.1.2/micd/man/getSuff.Rd | 4 micd-1.1.2/micd/man/make.formulas.saturated.Rd | 102 ++++++------ micd-1.1.2/micd/man/makeResiduals.Rd | 116 +++++++------- micd-1.1.2/micd/man/mixCItest.Rd | 142 ++++++++--------- micd-1.1.2/micd/man/mixCItwd.Rd | 4 micd-1.1.2/micd/man/mixMItest.Rd | 11 - micd-1.1.2/micd/man/pcMI.Rd | 206 ++++++++++++------------- micd-1.1.2/micd/man/with_graph.Rd | 105 ++++++------ 28 files changed, 684 insertions(+), 671 deletions(-)
Title: Ecological Inference in 2x2 Tables
Description: Implements the Bayesian and likelihood methods proposed in Imai, Lu, and Strauss (2008 <doi:10.1093/pan/mpm017>) and (2011 <doi:10.18637/jss.v042.i05>) for ecological inference in 2 by 2 tables as well as the method of bounds introduced by Duncan and Davis (1953). The package fits both parametric and nonparametric models using either the Expectation-Maximization algorithms (for likelihood models) or the Markov chain Monte Carlo algorithms (for Bayesian models). For all models, the individual-level data can be directly incorporated into the estimation whenever such data are available. Along with in-sample and out-of-sample predictions, the package also provides a functionality which allows one to quantify the effect of data aggregation on parameter estimation and hypothesis testing under the parametric likelihood models.
Author: Kosuke Imai [aut, cre],
Ying Lu [aut],
Aaron Strauss [aut],
Hubert Jin [ctb]
Maintainer: Kosuke Imai <imai@Harvard.Edu>
Diff between eco versions 4.0-4 dated 2025-10-21 and 4.0-5 dated 2025-10-23
ChangeLog | 1 + DESCRIPTION | 8 ++++---- MD5 | 14 +++++++------- R/ecoNP.R | 8 ++++---- man/ecoNP.Rd | 8 ++++---- src/gibbsDP.c | 7 ++----- src/gibbsXDP.c | 2 +- tests/testthat/test-all.R | 10 +++++----- 8 files changed, 28 insertions(+), 30 deletions(-)
Title: Search Download and Handle Data from Copernicus Climate Data
Service
Description: Subset and download data from EU Copernicus Climate Data Service:
<https://cds.climate.copernicus.eu/>. Import information about the Earth's
past, present and future climate from Copernicus into R without the need of
external software.
Author: Pepijn de Vries [aut, cre]
Maintainer: Pepijn de Vries <pepijn.devries@outlook.com>
Diff between CopernicusClimate versions 0.0.2 dated 2025-10-09 and 0.0.3 dated 2025-10-23
DESCRIPTION | 13 ++-- MD5 | 46 +++++++++------- NAMESPACE | 2 NEWS.md | 9 +++ R/helpers.R | 1 R/licenses.R | 24 ++++++++ R/python.R |only R/retrieve.R | 79 +++++++++++++++++++++++----- README.md | 12 ++++ build/vignette.rds |binary inst/doc/download.R | 29 ++-------- inst/doc/download.Rmd | 33 +++-------- inst/doc/download.html | 109 ++++++++++++--------------------------- inst/doc/translate.R |only inst/doc/translate.Rmd |only inst/doc/translate.html |only man/cds_accept_licence.Rd | 6 ++ man/cds_accepted_licences.Rd | 6 ++ man/cds_list_licences.Rd |only man/cds_python_to_r.Rd |only man/cds_submit_job.Rd | 22 +++++++ tests/testthat/test-download.R | 44 +++++++++++++++ tests/testthat/test-exceptions.R | 30 ++++++++++ tests/testthat/test-licenses.R | 8 ++ tests/testthat/test-python.R |only tests/testthat/test-stars.R | 4 - vignettes/download.Rmd | 33 +++-------- vignettes/translate.Rmd |only 28 files changed, 321 insertions(+), 189 deletions(-)
More information about CopernicusClimate at CRAN
Permanent link
Title: The Directed Prediction Index for Causal Inference from
Observational Data
Description: The Directed Prediction Index ('DPI') is
a quasi-causal inference (causal discovery) method for observational data
designed to quantify the relative endogeneity (relative dependence)
of outcome (Y) versus predictor (X) variables in regression models.
By comparing the proportion of variance explained (R-squared)
between the Y-as-outcome model and the X-as-outcome model
while controlling for a sufficient number of possible confounders,
it can suggest a plausible (admissible) direction of influence
from a more exogenous variable (X) to a more endogenous variable (Y).
Methodological details are provided at
<https://psychbruce.github.io/DPI/>.
This package also provides functions for data simulation and network
analysis (correlation, partial correlation, and Bayesian networks).
Author: Han Wu Shuang Bao [aut, cre]
Maintainer: Han Wu Shuang Bao <baohws@foxmail.com>
Diff between DPI versions 2025.10 dated 2025-10-15 and 2025.10-1 dated 2025-10-23
DESCRIPTION | 8 ++--- MD5 | 16 +++++------ NEWS.md | 6 ++++ R/DPI.R | 69 +++++++++++++++++++++++++++++++++++------------- README.md | 67 ++++++++++++++++++++++++---------------------- man/DPI.Rd | 2 - man/DPI_curve.Rd | 2 - man/DPI_dag.Rd | 9 ++++-- man/S3method.network.Rd | 8 +++++ 9 files changed, 120 insertions(+), 67 deletions(-)
Title: Functions for Transforming Categorical Variables
Description: Easily create functions to map between different sets of values,
such as for re-labeling categorical variables.
Author: Benjamin Rich [aut, cre, cph]
Maintainer: Benjamin Rich <mail@benjaminrich.net>
Diff between mappings versions 0.1 dated 2021-06-23 and 0.2.0 dated 2025-10-23
DESCRIPTION | 12 MD5 | 33 - NAMESPACE | 30 - NEWS.md | 8 R/mapping.R | 755 +++++++++++++++++++++++------------------- README.md | 54 +-- man/as.data.frame.mapping.Rd | 38 +- man/cf.Rd | 62 +-- man/cut_mapping.Rd | 60 +-- man/domain.Rd | 60 +-- man/inverse.Rd | 44 +- man/mapping.Rd | 175 +++++---- man/paste_mapping.Rd |only man/print.mapping.Rd | 38 +- man/remap.Rd | 46 +- man/text2mapping.Rd | 94 ++--- tests/testthat.R | 8 tests/testthat/test-mapping.R | 550 +++++++++++++++++------------- 18 files changed, 1152 insertions(+), 915 deletions(-)
Title: Functional-Based Chain Ladder for Claims Reserving
Description: Functional claims reserving methods based on aggregated chain-ladder data, also known as a run-off triangle, implemented in three nonparametric algorithms (PARALLAX, REACT, and MACRAME) proposed in Maciak, Mizera, and Pešta (2022) <doi:10.1017/asb.2022.4>. Additional methods including permutation bootstrap for completed run-off triangles are also provided.
Author: Matus Maciak [aut, cre],
Rastislav Matus [aut, ctb],
Ivan Mizera [aut],
Michal Pesta [aut]
Maintainer: Matus Maciak <maciak@karlin.mff.cuni.cz>
Diff between ProfileLadder versions 0.1.4 dated 2025-08-18 and 0.2.1 dated 2025-10-23
DESCRIPTION | 13 +++--- MD5 | 39 +++++++++++++----- NAMESPACE | 3 + R/CZ.casco.R |only R/CZ.liability.R |only R/CZ.property.R |only R/parallelReserve.R | 11 +++-- R/permuteReserve.R | 89 ++++++++++++++++++++++++++++++------------- R/plot.permutedReserve.R | 85 ++++++++++++++++++++++------------------- R/plot.profilePredict.R |only R/predict.profileLadder.R |only R/print.profileLadder.R | 26 ++++++++---- R/print.profilePredict.R |only R/set.fancy.print.R | 13 +++++- R/zzz.R | 3 - README.md | 23 ++++++++--- data/CZ.casco.rda |only data/CZ.liability.rda |only data/CZ.property.rda |only man/CZ.casco.Rd |only man/CZ.liability.Rd |only man/CZ.property.Rd |only man/permuteReserve.Rd | 44 ++++++++++++++------- man/plot.profilePredict.Rd |only man/predict.profileLadder.Rd |only man/print.profileLadder.Rd | 13 +++--- man/print.profilePredict.Rd |only man/set.fancy.print.Rd | 10 ++++ 28 files changed, 249 insertions(+), 123 deletions(-)
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2024-04-05 1.2
2021-09-24 0.2
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2025-07-29 1.1.0
2025-06-05 1.0.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2025-01-19 1.2.3
2024-02-11 1.2.2
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2025-08-25 0.2.5
2023-08-24 0.2.4
2022-09-08 0.2.3
2022-06-29 0.2.2
2020-11-06 0.2.1
2019-05-27 0.1.10
2018-10-08 0.1.9
2018-07-06 0.1.8
2018-04-30 0.1.7
2018-01-25 0.1.6
2017-11-06 0.1.5
2017-10-17 0.1.4
2017-08-07 0.1.3
2017-05-09 0.1.2
2017-01-23 0.1.1
2016-08-29 0.1.0
Title: Introductory Statistics with R
Description: Data sets and scripts for text examples and exercises in
P. Dalgaard (2008), `Introductory Statistics with R', 2nd ed., Springer Verlag, ISBN 978-0387790534.
Author: Peter Dalgaard [aut, cre]
Maintainer: Peter Dalgaard <pd.mes@cbs.dk>
Diff between ISwR versions 2.0-10 dated 2025-03-23 and 2.0-11 dated 2025-10-23
DESCRIPTION | 8 ++++---- MD5 | 10 +++++----- tests/allexercises.R | 10 +++++----- tests/allexercises.Rout.save | 30 +++++++++--------------------- tests/allscripts.R | 8 ++++---- tests/allscripts.Rout.save | 31 ++++++++----------------------- 6 files changed, 35 insertions(+), 62 deletions(-)
Title: Summarise and Visualise Characteristics of Patients in the OMOP
CDM
Description: Summarise and visualise the characteristics of patients in data
mapped to the Observational Medical Outcomes Partnership (OMOP) common data
model (CDM).
Author: Marti Catala [aut, cre] ,
Yuchen Guo [aut] ,
Mike Du [ctb] ,
Kim Lopez-Guell [aut] ,
Edward Burn [aut] ,
Nuria Mercade-Besora [aut] ,
Marta Alcalde [aut]
Maintainer: Marti Catala <marti.catalasabate@ndorms.ox.ac.uk>
Diff between CohortCharacteristics versions 1.0.1 dated 2025-09-30 and 1.0.2 dated 2025-10-23
DESCRIPTION | 6 MD5 | 24 NEWS.md | 5 R/plotCohortAttrition.R | 5 R/reexports.R | 8 inst/doc/summarise_characteristics.html | 550 +++++++-------- inst/doc/summarise_cohort_overlap.html | 220 +++--- inst/doc/summarise_cohort_timing.html | 220 +++--- inst/doc/summarise_large_scale_characteristics.html | 226 +++--- man/mockCohortCharacteristics.Rd | 20 man/plotCohortAttrition.Rd | 5 tests/testthat/setup.R | 4 tests/testthat/test-summariseLargeScaleCharacteristics.R | 96 +- 13 files changed, 703 insertions(+), 686 deletions(-)
More information about CohortCharacteristics at CRAN
Permanent link