simcausal (0.5.3)

0 users

Simulating Longitudinal Data with Causal Inference Applications.

https://github.com/osofr/simcausal
http://cran.r-project.org/web/packages/simcausal

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.

Maintainer: Oleg Sofrygin
Author(s): Oleg Sofrygin [aut, cre], Mark J. van der Laan [aut], Romain Neugebauer [aut]

License: GPL-2

Uses: assertthat, data.table, igraph, Matrix, R6, stringr, Hmisc, RUnit, bindata, copula, ggplot2, mvtnorm, knitr, ltmle, tmlenet

Released 3 months ago.


6 previous versions

Ratings

Overall:

  (0 votes)

Documentation:

  (0 votes)

Log in to vote.

Reviews

No one has written a review of simcausal yet. Want to be the first? Write one now.


Related packages:(20 best matches, based on common tags.)


Search for simcausal on google, google scholar, r-help, r-devel.

Visit simcausal on R Graphical Manual.