simpr: Flexible 'Tidyverse'-Friendly Simulations

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: 0.2.1
Depends: R (≥ 4.0.0)
Imports: broom, dplyr, furrr, generics, purrr, magrittr, rlang, tibble, tidyr, tidyselect
Suggests: MASS, testthat, ggplot2, knitr, rmarkdown
Published: 2022-01-12
Author: Ethan Brown ORCID iD [aut, cre], Jeffrey Bye [ctb]
Maintainer: Ethan Brown <ecbrown 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
CRAN checks: simpr results

Documentation:

Reference manual: simpr.pdf
Vignettes: Optimization
Reproducing simulations
simpr
Managing simulation errors

Downloads:

Package source: simpr_0.2.1.tar.gz
Windows binaries: r-devel: simpr_0.2.1.zip, r-release: simpr_0.2.1.zip, r-oldrel: simpr_0.2.1.zip
macOS binaries: r-release (arm64): simpr_0.2.1.tgz, r-release (x86_64): simpr_0.2.1.tgz, r-oldrel: not available

Linking:

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