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: | 0.4-4 |
| Depends: | R (≥ 3.1.0), lavaan (≥ 0.5-20) |
| Imports: | methods, shiny (≥ 0.11), foreign, ggplot2, nnet, survey, lavaan.survey, car |
| Published: | 2019-12-10 |
| Author: | Axel Mayer [aut, cre], Lisa Dietzfelbinger [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 |
| CRAN checks: | EffectLiteR results |
| Reference manual: | EffectLiteR.pdf |
| Package source: | EffectLiteR_0.4-4.tar.gz |
| Windows binaries: | r-devel: EffectLiteR_0.4-4.zip, r-release: EffectLiteR_0.4-4.zip, r-oldrel: EffectLiteR_0.4-4.zip |
| macOS binaries: | r-release: EffectLiteR_0.4-4.tgz, r-oldrel: EffectLiteR_0.4-4.tgz |
| Old sources: | EffectLiteR archive |
Please use the canonical form https://CRAN.R-project.org/package=EffectLiteR to link to this page.