DESCRIPTION

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