Package: JLPM 1.0.4

JLPM: Joint Latent Process Models

Estimation of extended joint models with shared random effects. Longitudinal data are handled in latent process models for continuous (Gaussian or curvilinear) and ordinal outcomes while proportional hazard models are used for the survival part. We propose a frequentist approach using maximum likelihood estimation. See Saulnier et al, 2022 <doi:10.1016/j.ymeth.2022.03.003>.

Authors:Viviane Philipps [aut, cre], Tiphaine Saulnier [aut], Cecile Proust-Lima [aut]

JLPM_1.0.4.tar.gz
JLPM_1.0.4.zip(r-4.7-x86_64)JLPM_1.0.4.zip(r-4.6-x86_64)JLPM_1.0.4.zip(r-4.5-x86_64)
JLPM_1.0.4.tgz(r-4.6-x86_64)JLPM_1.0.4.tgz(r-4.6-arm64)JLPM_1.0.4.tgz(r-4.5-x86_64)JLPM_1.0.4.tgz(r-4.5-arm64)
JLPM_1.0.4.tar.gz(r-4.7-arm64)JLPM_1.0.4.tar.gz(r-4.7-x86_64)JLPM_1.0.4.tar.gz(r-4.6-arm64)JLPM_1.0.4.tar.gz(r-4.6-x86_64)
JLPM_1.0.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
JLPM/json (API)

# Install 'JLPM' in R:

install.packages('JLPM', repos = c('https://vivianephilipps.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/vivianephilipps/jlpm/issues

Pkgdown/docs site:https://vivianephilipps.github.io

Uses libs:

fortran– Runtime library for GNU Fortran applications

On CRAN:

fortran glibc

4.23 score 1 stars 2 scripts 281 downloads 14 exports 22 dependencies

Last updated from:da565c500d. Checks:13 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	198
linux-devel-x86_64	OK	155
source / vignettes	OK	225
linux-release-arm64	OK	180
linux-release-x86_64	OK	162
macos-release-arm64	OK	200
macos-release-x86_64	OK	353
macos-oldrel-arm64	OK	218
macos-oldrel-x86_64	OK	293
windows-devel	OK	115
windows-release	OK	107
windows-oldrel	OK	146
wasm-release	OK	111

Exports:convert createFargs createX0 diffSojournTime IRT4Sselecting IRT4Sstaging jointLPM loglik posteriorLogLikelihood predictRE REconddensity removeNA sojournTime WaldMult

Dependencies:cli codetools doParallel foreach glue iterators lattice lcmm lifecycle magrittr marqLevAlg Matrix mvtnorm nlme numDeriv Rcpp rlang spacefillr stringi stringr survival vctrs

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Estimation of joint latent process models	JLPM-package
Conversion	convert
Likelihood arguments	createFargs
createX0	createX0
Difference of sojourn times	diffSojournTime
For internal use only ...	.expect .integrate_info .Pim .Pim_prime ForInternalUse
Fisher information function, used in Step 4 _ Selecting from the 4Smethod	IRT4Sselecting
Projection function, used in Step 3 _ Staging from the 4Smethod	IRT4Sstaging
Estimation of latent process joint models for multivariate longitudinal outcomes and time-to-event data.	jointLPM
Wrapper to the Fortran subroutine that computes the log-likelihood	loglik
Posterior density of the random effects for 1 subject	posteriorLogLikelihood
Random effects prediction	predictRE
Brief summary of a joint latent process model	print.jointLPM
REconddendity	REconddensity
removeNA	removeNA
Computation of sojourn time under specific condition	sojournTime
Standard methods for estimated models	coef.jointLPM StandardMethods vcov.jointLPM
Summary of a joint latent process model	summary.jointLPM
WaldMult Performs multivariate Wald tests.	WaldMult