Create datasets with factorial structure through simulation by specifying variable parameters. Extended documentation at <https://debruine.github.io/faux/>. Described in DeBruine (2020) <doi:10.5281/zenodo.2669586>.
Version: | 1.2.1 |
Depends: | R (≥ 3.2.4) |
Imports: | lme4, dplyr, ggplot2 (≥ 3.3.0), jsonlite, truncnorm, rlang |
Suggests: | testthat (≥ 2.1.0), tidyr, knitr, rmarkdown, roxygen2, covr, cowplot, ggExtra, purrr, broom, broom.mixed, psych, lmerTest, kableExtra, glue, openssl, readr, patchwork |
Published: | 2023-04-20 |
DOI: | 10.32614/CRAN.package.faux |
Author: | Lisa DeBruine [aut, cre], Anna Krystalli [ctb], Andrew Heiss [ctb] |
Maintainer: | Lisa DeBruine <debruine at gmail.com> |
BugReports: | https://github.com/debruine/faux/issues |
License: | MIT + file LICENSE |
URL: | https://github.com/debruine/faux |
NeedsCompilation: | no |
Citation: | faux citation info |
Materials: | README NEWS |
In views: | MixedModels |
CRAN checks: | faux results [issues need fixing before 2024-10-14] |
Reference manual: | faux.pdf |
Vignettes: |
Codebook Demo Continuous Predictors Contrasts NORTA Simulate Correlated Variables Simulate by Design Simulate from Existing Data |
Package source: | faux_1.2.1.tar.gz |
Windows binaries: | r-devel: faux_1.2.1.zip, r-release: faux_1.2.1.zip, r-oldrel: faux_1.2.1.zip |
macOS binaries: | r-release (arm64): faux_1.2.1.tgz, r-oldrel (arm64): faux_1.2.1.tgz, r-release (x86_64): faux_1.2.1.tgz, r-oldrel (x86_64): faux_1.2.1.tgz |
Old sources: | faux archive |
Reverse imports: | dfr, sgs |
Reverse suggests: | POSSA |
Please use the canonical form https://CRAN.R-project.org/package=faux to link to this page.