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.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://cran.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:

Data_toy - Data_toy

2.70 score 1 scripts 139 downloads 4 exports 100 dependencies

Last updated 11 months agofrom:ae1340b859. Checks:OK: 2. Indexed: no.

Target	Result	Date
Doc / Vignettes	OK	Oct 16 2024
R-4.5-linux-x86_64	OK	Oct 16 2024

Exports:goodness_of_fit lsjm lsmm predyn

Dependencies:abind backports boot broom car carData cli codetools colorspace commonmark corrplot cowplot cpp11 curl data.table Deriv doBy doParallel dplyr evaluate exactRankTests fansi farver foreach Formula generics ggplot2 ggpubr ggrepel ggsci ggsignif ggtext glue gridExtra gridtext gtable highr isoband iterators jpeg km.ci KMsurv knitr labeling lattice lcmm lifecycle lme4 magrittr markdown marqLevAlg MASS Matrix MatrixModels maxstat mgcv microbenchmark minqa modelr munsell mvtnorm nlme nloptr nnet numDeriv pbkrtest pillar pkgconfig png polynom purrr quantreg R6 randtoolbox RColorBrewer Rcpp RcppArmadillo RcppEigen rlang rngWELL rstatix scales SparseM stringi stringr survival survminer survMisc tibble tidyr tidyselect utf8 vctrs viridisLite withr xfun xml2 xtable yaml zoo

FlexVarJM

Rendered fromFlexVarJM.Rmdusingknitr::rmarkdownon Oct 16 2024.

Last update: 2023-11-21
Started: 2023-11-21

Citation

Readme and manuals

Help Manual

Help page	Topics
Data_toy	Data_toy
Initialisation of Survival Data at Gauss Kronrod time points	data.GaussKronrod
Initialisation of Survival Data at Gauss Kronrod time points 2	data.GaussKronrod2
Management of longitudinal data	data.manag.long
Management of survival data	data.manag.surv
Management of data for longitudinal submodel	data.time
Gauss-Kronrod nodes and weights	gaussKronrod
Predictions for the goodness of fit, of the random effects, the current value for each individuals and the cumulative hazard function for both events	goodness_of_fit
Initialisation of Longitudinal Submodel	initial.long
Log-likelihood computation	log_llh
Log-likelihood computation in RCPP	log_llh_rcpp
lsjm : Estimation of joint model for longitudinal data with a subject-specific time-dependent variability and time-to-event data.	lsjm
lsmm : Estimation of location scale mixed model	lsmm
Predictions computation	pred_s.t.bootstrap.tps
Predictions computation	pred_s.t.ponctuel.tps
Dynamic prediction for new individuals	predyn