VAJointSurv: Variational Approximation for Joint Survival and Marker Models

Estimates joint marker (longitudinal) and and survival (time-to-event) outcomes using variational approximations. The package supports multivariate markers allowing for correlated error terms and multiple types of survival outcomes which may be left-truncated, right-censored, and recurrent. Time-varying fixed and random covariate effects are supported along with non-proportional hazards.

Version: 0.1.0
Depends: R (≥ 3.5.0), survival
Imports: Rcpp, splines, utils, stats, SimSurvNMarker, psqn, Matrix, methods, lme4
LinkingTo: Rcpp, RcppArmadillo, RcppEigen, testthat, psqn (≥ 0.3.0)
Suggests: rmarkdown, knitr, testthat (≥ 3.0.0), xml2, R.rsp
Published: 2022-08-14
Author: Benjamin Christoffersen ORCID iD [cre, aut], Mark Clements [aut], Birzhan Akynkozhayev [aut], Antoine Savine [cph]
Maintainer: Benjamin Christoffersen <boennecd at>
License: MIT + file LICENSE
NeedsCompilation: yes
SystemRequirements: C++17
CRAN checks: VAJointSurv results


Reference manual: VAJointSurv.pdf
Vignettes: Joint Survival and Marker Models


Package source: VAJointSurv_0.1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): VAJointSurv_0.1.0.tgz, r-oldrel (arm64): VAJointSurv_0.1.0.tgz, r-release (x86_64): VAJointSurv_0.1.0.tgz, r-oldrel (x86_64): VAJointSurv_0.1.0.tgz


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