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: 0.8.1 Depends: R (≥ 3.3.0) Imports: data.table, glue, methods, mvnfast, Rcpp, backports, fastglm LinkingTo: Rcpp, pbv (≥ 0.4-22), fastglm Suggests: covr, dplyr, formatR, gee, ggplot2, grid, gridExtra, hedgehog, knitr, magrittr, Matrix, mgcv, ordinal, pracma, rmarkdown, scales, splines, survival, testthat, gtsummary, broom.helpers, survminer, katex, dirmult, rms Published: 2024-07-29 DOI: 10.32614/CRAN.package.simstudy 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 Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=simstudy to link to this page.
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