The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

simstandard: Generate Standardized Data

Creates simulated data from structural equation models with standardized loading. Data generation methods are described in Schneider (2013) <doi:10.1177/0734282913478046>.

Version: 0.6.3
Depends: R (≥ 3.4.0)
Imports: lavaan, mvtnorm, tibble, stats, magrittr, rlang, purrr
Suggests: knitr, rmarkdown, ggplot2, dplyr, tidyr, forcats, stringr, testthat, covr, badger
Published: 2021-05-07
Author: W. Joel Schneider ORCID iD [aut, cre]
Maintainer: W. Joel Schneider <w.joel.schneider at gmail.com>
BugReports: https://github.com/wjschne/simstandard/issues
License: CC0
URL: https://github.com/wjschne/simstandard
NeedsCompilation: no
Language: en-US
Materials: README NEWS
CRAN checks: simstandard results

Documentation:

Reference manual: simstandard.pdf
Vignettes: Using the simstandard package

Downloads:

Package source: simstandard_0.6.3.tar.gz
Windows binaries: r-devel: simstandard_0.6.3.zip, r-release: simstandard_0.6.3.zip, r-oldrel: simstandard_0.6.3.zip
macOS binaries: r-release (arm64): simstandard_0.6.3.tgz, r-oldrel (arm64): simstandard_0.6.3.tgz, r-release (x86_64): simstandard_0.6.3.tgz, r-oldrel (x86_64): simstandard_0.6.3.tgz
Old sources: simstandard archive

Reverse dependencies:

Reverse imports: dynamic, kfa
Reverse suggests: unusualprofile

Linking:

Please use the canonical form https://CRAN.R-project.org/package=simstandard 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.
Health stats visible at Monitor.