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Use structural equation modeling to estimate average and conditional effects of a treatment variable on an outcome variable, taking into account multiple continuous and categorical covariates.
Version: | 0.5-1 |
Depends: | R (≥ 3.5.0), lavaan (≥ 0.6-8) |
Imports: | methods, shiny (≥ 1.5.0), DT, foreign, ggplot2, nnet, car, restriktor, ic.infer, numDeriv |
Suggests: | testthat |
Published: | 2024-09-01 |
DOI: | 10.32614/CRAN.package.EffectLiteR |
Author: | Axel Mayer [aut, cre], Lisa Dietzfelbinger [ctb], Yves Rosseel [ctb] |
Maintainer: | Axel Mayer <amayer2010 at gmail.com> |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
URL: | https://github.com/amayer2010/EffectLiteR |
NeedsCompilation: | no |
In views: | CausalInference |
CRAN checks: | EffectLiteR results |
Reference manual: | EffectLiteR.pdf |
Package source: | EffectLiteR_0.5-1.tar.gz |
Windows binaries: | r-devel: EffectLiteR_0.5-1.zip, r-release: EffectLiteR_0.5-1.zip, r-oldrel: EffectLiteR_0.5-1.zip |
macOS binaries: | r-release (arm64): EffectLiteR_0.5-1.tgz, r-oldrel (arm64): EffectLiteR_0.5-1.tgz, r-release (x86_64): EffectLiteR_0.5-1.tgz, r-oldrel (x86_64): EffectLiteR_0.5-1.tgz |
Old sources: | EffectLiteR archive |
Reverse imports: | eatRep |
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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.