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 |