Package: GJRM 0.2-6.7
GJRM: Generalised Joint Regression Modelling
Routines for fitting various joint (and univariate) regression models, with several types of covariate effects, in the presence of equations' errors association, endogeneity, non-random sample selection or partial observability.
Authors:
GJRM_0.2-6.7.tar.gz
GJRM_0.2-6.7.tar.gz(r-4.5-noble)GJRM_0.2-6.7.tar.gz(r-4.4-noble)
GJRM_0.2-6.7.tgz(r-4.4-emscripten)GJRM_0.2-6.7.tgz(r-4.3-emscripten)
GJRM.pdf |GJRM.html✨
GJRM/json (API)
# Install 'GJRM' in R: |
install.packages('GJRM', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 5 days agofrom:ca9598a6df. Checks:OK: 2. Indexed: no.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 26 2024 |
R-4.5-linux | OK | Oct 26 2024 |
Exports:adjCovadjCovSDapprox.CLMass.dpATEBCDFbcontSurvG_extendedbcontSurvGuniv_ExcessHazardbcontSurvGunivI_ExcessHazardbcontSurvGunivInformbcontSurvGunivL_ExcessHazardbcontSurvGunivMIXED_ExcessHazardbcontSurvGunivMIXED_ExcessHazard_LeftTruncationbcontSurvGunivMIXED_LeftTruncationbCopulaCLMgHsContbCopulaCLMgHsOrdbcorrecbcorrecDiscrBiCDFbprobgHsbprobgHsBinROYbprobgHsCont2ROYbprobgHsCont3ROYbprobgHsContUnivbprobgHsDiscr1ROYbprobgHsDiscr2ROYbprobgHsPObprobgHsSSbprobgHstwoParCcond.mvconv.checkcopgHscopgHs2copgHs3copgHsATcopgHsContcopula.probCopulaCLMcopulaReg.fit.postcopulaSampleSelcopulaSampleSel.fit.postcv.informdistrHsdistrHsATdistrHsAT1distrHsATDiscrdistrHsATDiscr2distrHsDiscrdof.trDpensDpens2edf.loopenu.tresp.treta.trform.checkform.eq12g.trig.triESSg.triSSgamlssgamlss.fit.postggm.Derivggm.DerivOPT1ggm.DerivOPT2ggmtrustggmtrust.pathgjrmgt.bpmH.trihaz.survinform.setupint.rescheckintBjc.probs7jc.probs8k.taullpsiLM.bpmlmclogLik.ggmtrustlogLik.lmclogLik.SemiParBIVmarg.mvmbmmmmfnumchnumghORoverall.svoverall.svGPDefPEpenplot.SemiParBIVpolys.mappolys.setupPosDefCorpostVbpppream.wmpred.gppred.varpredict.CopulaCLMpredict.SemiParBIVprevprint.ATEprint.cond.mvprint.copulaSampleSelprint.gamlssprint.gjrmprint.marg.mvprint.mbprint.ORprint.PEprint.prevprint.RRprint.SATEprint.SemiParBIVprint.SemiParROYprint.SemiParTRIVprint.summary.copulaSampleSelprint.summary.gamlssprint.summary.gjrmprint.summary.SemiParBIVprint.summary.SemiParROYprint.summary.SemiParTRIVprobmprobmSpscrpscr0pTweedr.respres.checkresp.checkresp.CLMrICrMVNrob.constrob.intRRS.mSATESemiParBIVSemiParBIV.fitSemiParBIV.fit.postSemiParROYSemiParROY.fit.postSemiParTRIVSemiParTRIV.fit.postsim.respSSstartsnsummary.copulaSampleSelsummary.gamlsssummary.gjrmsummary.SemiParBIVsummary.SemiParROYsummary.SemiParTRIVsurvExcIndsusususutsnteta.trtheta2tautriprobgHsVuongClarkeworking.compXdpred
Dependencies:abindADGofTestclicolorspacecopulaDBIdistrdistrExevdfansifarvergamlss.distggplot2gluegmpGPArotationgslgtableismevisobandlabelinglatticelifecyclemagicmagrittrMASSMatrixmatrixStatsmgcvminqamitoolsmnormtmunsellmvtnormnlmenumDerivpcaPPpillarpkgconfigpsplinepsychR6RColorBrewerRcppRcppArmadillorlangRmpfrscalesscamsfsmiscstablediststartupmsgsurveysurvivaltibbletrustutf8vctrsVGAMVineCopulaviridisLitewithr