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 |