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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>.

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
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
In views: MixedModels
CRAN checks: faux results

Documentation:

Reference manual: faux.pdf
Vignettes: Codebook Demo
Continuous Predictors
Contrasts
NORTA
Simulate Correlated Variables
Simulate by Design
Simulate from Existing Data

Downloads:

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 dependencies:

Reverse imports: sgs
Reverse suggests: POSSA

Linking:

Please use the canonical form https://CRAN.R-project.org/package=faux to link to this page.

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.
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