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gmvjoint
View on CRAN: Click
here
Download and install gmvjoint package within the R console
Install from CRAN:
install.packages("gmvjoint")
Install from Github:
library("remotes")
install_github("cran/gmvjoint")
Install by package version:
library("remotes")
install_version("gmvjoint", "0.4.0")
Attach the package and use:
library("gmvjoint")
Maintained by
James Murray
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-12-07
Latest Update: 2023-12-21
Description:
Fit joint models of survival and multivariate longitudinal data. The longitudinal
data is specified by generalised linear mixed models. The joint models are fit via maximum
likelihood using an approximate expectation maximisation algorithm.
Bernhardt (2015) .
How to cite:
James Murray (2022). gmvjoint: Joint Models of Survival and Multivariate Longitudinal Data. R package version 0.4.0, https://cran.r-project.org/web/packages/gmvjoint
Previous versions and publish date:
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View gmvjoint citation profile
Other R packages that gmvjoint depends,
imports, suggests or enhances
Functions, R codes and Examples using
the gmvjoint R package
Some associated functions: PBC . ROC . anova.joint . boot.joint . cond.ranefs . dynPred . extractAIC.joint . fitted.joint . fixef.joint . gmvjoint-package . joint . jointject . logLik.joint . parseCoxph . plot.ROC.joint . plot.cond.b.joint . plot.dynPred . plot.residuals.joint . ranef.joint . residuals.joint . rgenpois . simData . summary.joint . vcov.joint . xtable.joint .
Some associated R codes: EMUpdate.R . PBC.R . ROC.R . RcppExports.R . boot.R . condb.R . dynPred-draws.R . dynPred-prepare.R . dynPred.R . fit2xtab.R . fitted.R . inits.R . joint.R . jointject.R . loglik.R . makeDataMatrices.R . misc.R . rfixef.R . simData.R . summary.joint.R . survmod.R . vcov.R . Full gmvjoint package functions and examples
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