Package: BJM
Title: Backward Joint Model for the Dynamic Prediction of Both
        Time-to-Event and Longitudinal Outcomes
Version: 0.1.0
Authors@R: c(
    person("Wenhao", "Li", email = "wenhaoli.jlu@gmail.com", role = c("aut", "cre")),
    person("Liang", "Li", role = c('aut'),email = "LLi15@mdanderson.org"))
Maintainer: Wenhao Li <wenhaoli.jlu@gmail.com>
Description: Provides tools to fit joint models of multivariate
        longitudinal data and time-to-event data for dynamic
        prediction. It allows the joint prediction of both future
        time-to-event outcomes and future longitudinal outcomes
        conditional on survival. The models accommodate irregularly
        measured longitudinal data and competing risks outcomes. The
        use of the backward joint model enables fast and efficient
        computation, especially for applications with large sample
        sizes and many longitudinal variables.
License: MIT + file LICENSE
LazyData: true
Encoding: UTF-8
RoxygenNote: 7.3.2
Depends: R (>= 3.5.0), survival
Imports: nlme, mvtnorm, ggplot2, Matrix
Author: Wenhao Li [aut, cre], Liang Li [aut]
NeedsCompilation: no
Packaged: 2026-07-04 11:26:27 UTC; root
Repository: https://cran.r-universe.dev
Date/Publication: 2026-07-04 07:50:02 UTC
RemoteUrl: https://github.com/cran/BJM
RemoteRef: HEAD
RemoteSha: d5c44f3c6ca7c4580914fd5958ac6b6998f4fca0