Package: JLPM 1.0.4
Viviane Philipps
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:
JLPM_1.0.4.tar.gz
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✨
card.svg |card.png
JLPM/json (API)
| # Install 'JLPM' in R: |
| install.packages('JLPM', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/vivianephilipps/jlpm/issues
Pkgdown/docs site:https://vivianephilipps.github.io
Last updated from:b8d0001b17. Checks:6 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 177 | ||
| linux-devel-x86_64 | OK | 131 | ||
| source / vignettes | OK | 176 | ||
| linux-release-arm64 | OK | 142 | ||
| linux-release-x86_64 | OK | 134 | ||
| wasm-release | OK | 128 |
Exports:convertcreateFargscreateX0diffSojournTimeIRT4SselectingIRT4SstagingjointLPMloglikpredictREREconddensityremoveNAsojournTimeWaldMult
Dependencies:clicodetoolsdoParallelforeachglueiteratorslatticelcmmlifecyclemagrittrmarqLevAlgMatrixmvtnormnlmenumDerivRcpprlangspacefillrstringistringrsurvivalvctrs
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 |
| 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 |
