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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: | 0.4-6 |
| Depends: | R (≥ 3.5.0), lavaan (≥ 0.6-8) |
| Imports: | methods, shiny (≥ 1.5.0), foreign, ggplot2, nnet, car |
| Suggests: | testthat, survey, lavaan.survey |
| Published: | 2023-06-18 |
| 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 |
| In views: | CausalInference |
| CRAN checks: | EffectLiteR results |
| Reference manual: | EffectLiteR.pdf |
| Package source: | EffectLiteR_0.4-6.tar.gz |
| Windows binaries: | r-devel: EffectLiteR_0.4-6.zip, r-release: EffectLiteR_0.4-6.zip, r-oldrel: EffectLiteR_0.4-6.zip |
| macOS binaries: | r-release (arm64): EffectLiteR_0.4-6.tgz, r-oldrel (arm64): EffectLiteR_0.4-6.tgz, r-release (x86_64): EffectLiteR_0.4-6.tgz, r-oldrel (x86_64): EffectLiteR_0.4-6.tgz |
| Old sources: | EffectLiteR archive |
| Reverse imports: | eatRep |
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These binaries (installable software) and packages are in development.
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