Package: FlexVarJM 0.1.0

Léonie Courcoul

FlexVarJM: Estimate Joint Models with Subject-Specific Variance

Estimation of mixed models including a subject-specific variance which can be time and covariate dependent. In the joint model framework, the package handles left truncation and allows a flexible dependence structure between the competing events and the longitudinal marker. The estimation is performed under the frequentist framework, using the Marquardt-Levenberg algorithm. (Courcoul, Tzourio, Woodward, Barbieri, Jacqmin-Gadda (2023) <arxiv:2306.16785>).

Authors:Léonie Courcoul [aut, cre], Antoine Barbieri [aut], Hélène Jacqmin-Gadda [aut]

FlexVarJM_0.1.0.tar.gz
FlexVarJM_0.1.0.zip(r-4.5)FlexVarJM_0.1.0.zip(r-4.4)FlexVarJM_0.1.0.zip(r-4.3)
FlexVarJM_0.1.0.tgz(r-4.5-x86_64)FlexVarJM_0.1.0.tgz(r-4.5-arm64)FlexVarJM_0.1.0.tgz(r-4.4-x86_64)FlexVarJM_0.1.0.tgz(r-4.4-arm64)FlexVarJM_0.1.0.tgz(r-4.3-x86_64)FlexVarJM_0.1.0.tgz(r-4.3-arm64)
FlexVarJM_0.1.0.tar.gz(r-4.5-noble)FlexVarJM_0.1.0.tar.gz(r-4.4-noble)
FlexVarJM_0.1.0.tgz(r-4.4-emscripten)FlexVarJM_0.1.0.tgz(r-4.3-emscripten)
FlexVarJM.pdf |FlexVarJM.html✨
FlexVarJM/json (API)
NEWS

# Install 'FlexVarJM' in R:
install.packages('FlexVarJM', repos = c('https://leoniecourcoul.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/leoniecourcoul/flexvarjm/issues

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
Datasets:

On CRAN:

Conda:

openblascpp

3.70 score 1 scripts 165 downloads 4 exports 104 dependencies

Last updated 7 months agofrom:599c1addcd. Checks:1 OK, 11 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 16 2025
R-4.5-win-x86_64NOTEMar 16 2025
R-4.5-mac-x86_64NOTEMar 16 2025
R-4.5-mac-aarch64NOTEMar 16 2025
R-4.5-linux-x86_64NOTEMar 16 2025
R-4.4-win-x86_64NOTEMar 16 2025
R-4.4-mac-x86_64NOTEMar 16 2025
R-4.4-mac-aarch64NOTEMar 16 2025
R-4.4-linux-x86_64NOTEMar 16 2025
R-4.3-win-x86_64NOTEMar 16 2025
R-4.3-mac-x86_64NOTEMar 16 2025
R-4.3-mac-aarch64NOTEMar 16 2025

Exports:goodness_of_fitlsjmlsmmpredyn

Dependencies:abindbackportsbootbroomcarcarDataclicodetoolscolorspacecommonmarkcorrplotcowplotcpp11curldata.tableDerivdoBydoParalleldplyrevaluateexactRankTestsfansifarverforeachFormulagenericsggplot2ggpubrggrepelggsciggsignifggtextgluegridExtragridtextgtablehighrisobanditeratorsjpegkm.ciKMsurvknitrlabelinglatticelcmmlifecyclelme4magrittrmarkdownmarqLevAlgMASSMatrixMatrixModelsmaxstatmgcvmicrobenchmarkminqamodelrmunsellmvtnormnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigpngpolynompurrrquantregR6randtoolboxrbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreformulasrlangrngWELLrstatixscalesspacefillrSparseMstringistringrsurvivalsurvminersurvMisctibbletidyrtidyselectutf8vctrsviridisLitewithrxfunxml2xtableyamlzoo

FlexVarJM

Rendered fromFlexVarJM.Rmdusingknitr::rmarkdownon Mar 16 2025.

Last update: 2023-06-07
Started: 2023-06-07