Package: FastJM
Type: Package
Title: Semi-Parametric Joint Modeling of Longitudinal and Survival Data
Version: 1.7.0
Date: 2026-07-20
Authors@R: c(
    person("Shanpeng", "Li", email = "lishanpeng0913@ucla.edu", 
        role = c("aut", "cre")),
    person("Ace", "Mejia-Sanchez", email = "aceisabel.mejiasanchez1@ucr.edu", 
        role = "ctb"),  
    person("Emily", "Ouyang", email = "eouya001@ucr.edu", 
        role = "ctb"),   
    person("Gang", "Li", email = "vli@ucla.edu", 
        role = "ctb")
    )
Maintainer: Shanpeng Li <lishanpeng0913@ucla.edu>
Encoding: UTF-8
Description: Implements scalable joint models for large-scale competing risks time-to-event data with one or multiple longitudinal biomarkers using the efficient algorithms developed by Li et al. (2022) <doi:10.1155/2022/1362913> and <doi:10.48550/arXiv.2506.12741>.
             The time-to-event process is modeled using a cause-specific Cox proportional hazards model
             with time-fixed covariates, while longitudinal biomarkers are modeled
             using linear mixed-effects models. The association between the longitudinal
             and survival processes is captured through shared random effects. The
             package enables analysis of large-scale biomedical data to model biomarker
             trajectories, estimate their effects on event risks, and perform dynamic
             prediction of future events based on patients' longitudinal histories.
             Functions for simulating survival and longitudinal data for multiple
             biomarkers are included, along with built-in example datasets. The package
             also supports modeling a single biomarker with heterogeneous within-subject
             variability via functionality adapted from the 'JMH' package.
License: GPL (>= 3)
NeedsCompilation: yes
Imports: Rcpp (>= 1.0.7), dplyr, nlme, caret, pec, future,
        future.apply, tidycmprsk, rlang (>= 0.4.11), ggsurvfit,
        ggplot2, ggpubr
LinkingTo: Rcpp, RcppEigen
Depends: R (>= 3.5.0), survival, utils, MASS, statmod, magrittr, stats
RoxygenNote: 7.3.2
LazyData: true
Packaged: 2026-07-21 19:05:13 UTC; shanpengli
Suggests: testthat (>= 3.0.0), spelling, rmarkdown
Language: en-US
Config/testthat/edition: 3
Author: Shanpeng Li [aut, cre],
  Ace Mejia-Sanchez [ctb],
  Emily Ouyang [ctb],
  Gang Li [ctb]
Repository: CRAN
Date/Publication: 2026-07-21 21:00:09 UTC
Built: R 4.6.1; x86_64-w64-mingw32; 2026-07-28 05:52:38 UTC; windows
Archs: x64
