faux: Simulation for Factorial Designs

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>.

Depends: R (≥ 3.2.4)
Imports: lme4, dplyr, ggplot2 (≥ 3.3.0), jsonlite, truncnorm
Suggests: testthat (≥ 2.1.0), tidyr, knitr, rmarkdown, roxygen2, covr, cowplot, ggExtra, purrr, broom, broom.mixed, psych
Published: 2020-09-22
Author: Lisa DeBruine ORCID iD [aut, cre], Anna Krystalli ORCID iD [ctb], Andrew Heiss ORCID iD [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
CRAN checks: faux results


Reference manual: faux.pdf
Vignettes: Codebook Demo
Continuous Predictors
Simulate Correlated Variables
Simulate by Design
Simulate from Existing Data
Mixed Design Simulation
Package source: faux_0.0.1.5.tar.gz
Windows binaries: r-devel: faux_0.0.1.5.zip, r-release: faux_0.0.1.5.zip, r-oldrel: not available
macOS binaries: r-release: faux_0.0.1.5.tgz, r-oldrel: not available
Old sources: faux archive


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