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-4.7-arm64)JLPM_1.0.4.zip(r-4.6-x86_64)JLPM_1.0.4.zip(r-4.6-arm64)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

4.08 score 1 stars 2 scripts 299 downloads 14 exports 22 dependencies

Last updated from:da565c500d. Checks:14 OK, 1 WARNING. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	106
linux-devel-x86_64	OK	163
source / vignettes	OK	214
linux-release-arm64	OK	121
linux-release-x86_64	OK	119
macos-release-arm64	OK	133
macos-release-x86_64	OK	517
macos-oldrel-arm64	OK	142
macos-oldrel-x86_64	OK	416
windows-devel-arm64	OK	421
windows-devel-x86_64	OK	145
windows-release-arm64	WARNING	433
windows-release-x86_64	OK	102
windows-oldrel-x86_64	OK	114
wasm-release	OK	90

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