Package: simcausal
Type: Package
Version: 0.5.5
Title: Simulating Longitudinal Data with Causal Inference Applications
Authors@R: c(
    person("Oleg", "Sofrygin", role=c("aut", "cre"), email="oleg.sofrygin@gmail.com"),
    person(c("Mark", "J."), "van der Laan", role="aut", email="laan@berkeley.edu"),
    person("Romain", "Neugebauer", role="aut", email="Romain.S.Neugebauer@kp.org"))
Description: A flexible tool for simulating complex longitudinal data
        using structural equations, with emphasis on problems in causal
        inference. Specify interventions and simulate from intervened
        data generating distributions. Define and evaluate
        treatment-specific means, the average treatment effects and
        coefficients from working marginal structural models. User
        interface designed to facilitate the conduct of transparent and
        reproducible simulation studies, and allows concise expression
        of complex functional dependencies for a large number of
        time-varying nodes. See the package vignette for more
        information, documentation and examples.
URL: https://github.com/osofr/simcausal
BugReports: https://github.com/osofr/simcausal/issues
Depends: R (>= 3.2.0)
Imports: data.table, igraph, stringr, R6, assertthat, Matrix, methods
Suggests: copula, RUnit, ltmle, knitr, ggplot2, Hmisc, mvtnorm, bindata
VignetteBuilder: knitr
License: GPL-2
RoxygenNote: 6.1.1
Config/pak/sysreqs: libglpk-dev libicu-dev libxml2-dev
Repository: https://osofr.r-universe.dev
Date/Publication: 2024-07-18 16:08:38 UTC
RemoteUrl: https://github.com/osofr/simcausal
RemoteRef: HEAD
RemoteSha: bce5ad71eb90c0cc7d5ac37c4065ffd0ef1f8e15
NeedsCompilation: no
Packaged: 2026-06-13 06:40:58 UTC; root
Author: Oleg Sofrygin [aut, cre],
  Mark J. van der Laan [aut],
  Romain Neugebauer [aut]
Maintainer: Oleg Sofrygin <oleg.sofrygin@gmail.com>