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GJRM  

Generalised Joint Regression Modelling
View on CRAN: Click here


Download and install GJRM package within the R console
Install from CRAN:
install.packages("GJRM")

Install from Github:
library("remotes")
install_github("cran/GJRM")

Install by package version:
library("remotes")
install_version("GJRM", "0.2-6.9")



Attach the package and use:
library("GJRM")
Maintained by
Giampiero Marra
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-07-14
Latest Update: 2025-06-23
Description:
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.
How to cite:
Giampiero Marra (2017). GJRM: Generalised Joint Regression Modelling. R package version 0.2-6.9, https://cran.r-project.org/web/packages/GJRM. Accessed 09 Oct. 2026.
Previous versions and publish date:
0.1-1 (2017-07-14 07:45), 0.1-2 (2017-09-22 15:31), 0.1-3 (2017-11-17 11:01), 0.1-4 (2017-12-13 08:08), 0.1-5 (2018-11-14 09:30), 0.2-1 (2019-10-02 21:40), 0.2-2 (2020-02-07 12:40), 0.2-3 (2020-09-07 20:20), 0.2-4 (2021-04-12 20:00), 0.2-5.1 (2021-10-12 11:30), 0.2-5 (2021-09-17 18:00), 0.2-6.1 (2022-12-18 18:00), 0.2-6.2 (2023-06-09 14:00), 0.2-6.3 (2023-06-12 16:00), 0.2-6.4 (2023-06-21 20:50), 0.2-6.5 (2024-01-25 15:30), 0.2-6.7 (2024-10-25 11:10), 0.2-6.8 (2025-06-23 23:20), 0.2-6 (2022-04-01 12:30), 0.2 (2019-03-07 16:02), (2026-07-09 08:05)
Other packages that cited GJRM R package
View GJRM citation profile
Other R packages that GJRM depends, imports, suggests or enhances
Complete documentation for GJRM
Functions, R codes and Examples using the GJRM R package
Some associated functions: AT . BCDF . CopulaCLM . Dpens . GJRM-package . H.tri . LM.bpm . OR . PE . RR . S.m . SemiParBIV.fit . SemiParBIV.fit.post . SemiParBIV . SemiParROY . SemiParTRIV . TRIapprox . VuongClarke . adjCov . adjCovSD . bcont . bdiscrcont . bdiscrdiscr . bprobgHs . bprobgHsCont . bprobgHsContSS . bprobgHsContUniv . bprobgHsDiscr1 . bprobgHsDiscr1SS . bprobgHsPO . bprobgHsSS . conv.check . copgHs . copulaSampleSel . cv.inform . distrHs . eta.tr . g.tri . gamlss . gamlssObject . ggmtrust . gjrm . gjrmObject . gt.bpm . hazsurv.plot . hiv . imputeCounter . imputeSS . jc.probs . llpsi . lmc . logLik.SemiParBIV . mb . meps . numgh . pen . plot.SemiParBIV . polys.map . polys.setup . post.check . pred.gp . pred.mvt . predict.CopulaCLM . predict.SemiParBIV . prev . print.AT . print.OR . print.PE . print.RR . print.SemiParBIV . print.SemiParROY . print.SemiParTRIV . print.copulaSampleSel . print.gamlss . print.gjrm . print.mb . print.prev . probm . rMVN . regH . resp.check . rob.const . rob.int . summary.SemiParBIV . summary.SemiParROY . summary.SemiParTRIV . summary.copulaSampleSel . summary.gamlss . summary.gjrm . triprobgHs . vis.gjrm . war . working.comp . 
Some associated R codes: Dpens.R . Dpens2.R . PDef.R . PosDefCor.R . SemiParBIV.fit.R . Tweedie.Functions.R . bCopulaCLMgHsCont.R . bCopulaCLMgHsOrd.R . bcont.R . bcont23.R . bcont23twoParC.R . bcont3.R . bcont32.R . bcont32twoParC.R . bcont3twoParC.R . bcontROB.R . bcontSurv.R . bcontSurvG.R . bcontSurvGDep.R . bcontSurvGDepA.R . bcontSurvG_extended.R . bcontSurvGuniv.R . bcontSurvGunivI.R . bcontSurvGunivI_ExcessHazard.R . bcontSurvGunivL.R . bcontSurvGunivL_ExcessHazard.R . bcontSurvGunivMIXED.R . bcontSurvGunivMIXED_ExcessHazard.R . bcontSurvGunivMIXED_ExcessHazard_LeftTruncation.R . bcontSurvGunivMIXED_LeftTruncation.R . bcontSurvGuniv_ExcessHazard.R . bconttwoParC.R . bcorrec.R . bcorrec2.R . bcorrecDiscr.R . bcorrecFuncs.R . bdiscrdiscr.R . bdiscrdiscr11.R . bdiscrdiscr12.R . dof.tr.R . enu.tr.R . esp.tr.R . eta.tr.R . gamlss.R . ggm.Deriv.R . ggm.DerivOPT1.R . ggm.DerivOPT2.R . ggmtrust.R . ggmtrust.path.R . gt.bpm.R . int.postcheck.R . lmc.R . mice.impute.copulaSS.R . overall.svG.R . post.check.R . probm.R . probmS.R . r.resp.R . rIC.R . resp.check.R . rob.const.R . rob.int.R . sim.resp.R . teta.tr.R . triprobgHs.R .  Full GJRM package functions and examples
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