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A general, 'tidyverse'-friendly framework for simulation studies, design analysis, and power analysis. Specify data generation, define varying parameters, generate data, fit models, and tidy model results in a single pipeline, without needing loops or custom functions.
Version: | 0.2.6 |
Depends: | R (≥ 4.0.0) |
Imports: | broom, dplyr, furrr, generics, purrr, lifecycle, magrittr, rlang, tibble, tidyr (≥ 1.2.0), tidyselect |
Suggests: | MASS, testthat, ggplot2, knitr, rmarkdown |
Published: | 2023-04-26 |
DOI: | 10.32614/CRAN.package.simpr |
Author: | Ethan Brown |
Maintainer: | Ethan Brown <brow3821 at umn.edu> |
BugReports: | https://github.com/statisfactions/simpr/issues/ |
License: | GPL-2 |
URL: | https://statisfactions.github.io/simpr/, https://github.com/statisfactions/simpr/ |
NeedsCompilation: | no |
Materials: | README NEWS |
CRAN checks: | simpr results |
Reference manual: | simpr.pdf |
Vignettes: |
Optimization Reproducing simulations simpr Managing simulation errors |
Package source: | simpr_0.2.6.tar.gz |
Windows binaries: | r-devel: simpr_0.2.6.zip, r-release: simpr_0.2.6.zip, r-oldrel: simpr_0.2.6.zip |
macOS binaries: | r-release (arm64): simpr_0.2.6.tgz, r-oldrel (arm64): simpr_0.2.6.tgz, r-release (x86_64): simpr_0.2.6.tgz, r-oldrel (x86_64): simpr_0.2.6.tgz |
Old sources: | simpr archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.