Simulates data sets in order to explore modeling techniques or better understand data generating processes. The user specifies a set of relationships between covariates, and generates data based on these specifications. The final data sets can represent data from randomized control trials, repeated measure (longitudinal) designs, and cluster randomized trials. Missingness can be generated using various mechanisms (MCAR, MAR, NMAR).
| Version: | 0.1.16 |
| Depends: | R (≥ 3.2.2) |
| Imports: | Rcpp, data.table, mvnfast, mvtnorm |
| LinkingTo: | Rcpp |
| Suggests: | testthat, knitr, rmarkdown, ggplot2, grid, gridExtra, survival, splines, formatR, mgcv, Matrix |
| Published: | 2020-03-31 |
| Author: | Keith Goldfeld [aut, cre] |
| Maintainer: | Keith Goldfeld <Keith.Goldfeld at nyumc.org> |
| License: | GPL-3 |
| NeedsCompilation: | yes |
| Materials: | README NEWS |
| CRAN checks: | simstudy results |
| Reference manual: | simstudy.pdf |
| Vignettes: |
Simulating study data |
| Package source: | simstudy_0.1.16.tar.gz |
| Windows binaries: | r-devel: simstudy_0.1.16.zip, r-release: simstudy_0.1.16.zip, r-oldrel: simstudy_0.1.16.zip |
| macOS binaries: | r-release: simstudy_0.1.16.tgz, r-oldrel: simstudy_0.1.16.tgz |
| Old sources: | simstudy archive |
Please use the canonical form https://CRAN.R-project.org/package=simstudy to link to this page.