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: |
0.5.0 |
| Depends: |
R (≥ 3.3.0) |
| Imports: |
data.table, glue, methods, mvnfast, mvtnorm, Rcpp, backports |
| LinkingTo: |
Rcpp |
| Suggests: |
covr, dplyr, formatR, gee, ggplot2, grid, gridExtra, hedgehog, knitr, magrittr, Matrix, mgcv, ordinal, pracma, rmarkdown, scales, splines, survival, testthat, gtsummary, survminer |
| Published: |
2022-07-08 |
| Author: |
Keith Goldfeld 
[aut, cre],
Jacob Wujciak-Jens
[aut] |
| Maintainer: |
Keith Goldfeld <keith.goldfeld at nyulangone.org> |
| BugReports: |
https://github.com/kgoldfeld/simstudy/issues |
| License: |
GPL-3 |
| URL: |
https://github.com/kgoldfeld/simstudy,
https://kgoldfeld.github.io/simstudy/,
https://kgoldfeld.github.io/simstudy/dev/ |
| NeedsCompilation: |
yes |
| Citation: |
simstudy citation info |
| CRAN checks: |
simstudy results |