Package: gcmr 1.0.4

gcmr: Gaussian Copula Marginal Regression

Likelihood inference in Gaussian copula marginal regression models.

Authors:Guido Masarotto [aut], Cristiano Varin [aut, cre]

gcmr_1.0.4.tar.gz
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gcmr_1.0.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
gcmr/json (API)

# Install 'gcmr' in R:
install.packages('gcmr', repos = c('https://crisvarin.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • epilepsy - Epilitic Seizures Data
  • HUR - Hidden Unemployment in Sao Paulo
  • malaria - Gambia Malaria Data
  • polio - Polio Time Series
  • scotland - Scotland Lip Cancer Data

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.82 score 3 stars 22 scripts 552 downloads 18 exports 73 dependencies

Last updated from:f7b6ca5206. Checks:15 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK147
linux-devel-x86_64OK137
source / vignettesOK187
linux-release-arm64OK151
linux-release-x86_64OK177
macos-release-arm64OK122
macos-release-x86_64OK364
macos-oldrel-arm64OK74
macos-oldrel-x86_64OK367
windows-devel-arm64OK418
windows-devel-x86_64OK137
windows-release-arm64OK342
windows-release-x86_64OK100
windows-oldrel-x86_64OK104
wasm-releaseOK110

Exports:arma.cormatbeta.margbinomial.margbn.margcluster.cormatGamma.marggaussian.marggcmrgcmr.fitgcmr.optionsgs.margind.cormatmatern.cormatnb.margnegbin.margpoisson.margps.margweibull.marg

Dependencies:abindbackportsbetaregbootbroomcarcarDataclicolorspacecowplotcpp11DerivdoBydplyrfarverflexmixforecastFormulafracdiffgenericsggplot2gluegtableisobandlabelinglatticelifecyclelme4lmtestmagrittrMASSMatrixMatrixModelsmgcvminqamodelrmodeltoolsnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigpurrrquantregR6rbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreformulasrlangS7sandwichscalesspSparseMstringistringrsurvivaltibbletidyrtidyselecttimeDateurcautf8vctrsviridisLitewithrzoo