Package: EffectLiteR 0.5-1
EffectLiteR: Average and Conditional Effects
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.
Authors:
EffectLiteR_0.5-1.tar.gz
EffectLiteR_0.5-1.zip(r-4.7)EffectLiteR_0.5-1.zip(r-4.6)EffectLiteR_0.5-1.zip(r-4.5)
EffectLiteR_0.5-1.tgz(r-4.6-any)EffectLiteR_0.5-1.tgz(r-4.5-any)
EffectLiteR_0.5-1.tar.gz(r-4.7-any)EffectLiteR_0.5-1.tar.gz(r-4.6-any)
EffectLiteR_0.5-1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
EffectLiteR/json (API)
| # Install 'EffectLiteR' in R: |
| install.packages('EffectLiteR', repos = c('https://amayer2010.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/amayer2010/effectliter/issues
- elrdata_categorical_items - Dataset elrdata_categorical_items.
- elrdata_kieferetal2024 - Dataset elrdata_kieferetal2024.
- elrdata_logreg - Dataset elrdata_logreg.
- example_multilevel - Dataset example_multilevel.
- example01 - Dataset example01.
- example02lv - Dataset example02lv.
- MDRS2016 - Dataset MDRS2016.
- nonortho - Dataset nonortho.
- sophonet_data_simulated - Dataset sophonet_data_simulated.
Last updated from:00bc7e3109. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 208 | ||
| source / vignettes | OK | 288 | ||
| linux-release-x86_64 | OK | 253 | ||
| macos-release-arm64 | OK | 185 | ||
| macos-oldrel-arm64 | OK | 158 | ||
| windows-devel | OK | 125 | ||
| windows-release | OK | 138 | ||
| windows-oldrel | OK | 145 | ||
| wasm-release | OK | 140 |
Exports:autoSelectSubsetcomputeAggregatedEffectsconditionalEffectsPloteffectLiteeffectLite_ihteffectLiteGUIelrEffectselrEffectsGUIelrPredictelrReadDatagenerateMeasurementModel
Dependencies:abindbackportsbase64encbootbroombslibcachemcarcarDataclicodetoolscolorspacecommonmarkcowplotcpp11crosstalkDerivdigestdoBydplyrDTevaluatefarverfastmapfontawesomeforecastforeignFormulafracdifffsfuturefuture.applygenericsggplot2globalsgluegmmgridExtragtablehighrhtmltoolshtmlwidgetshttpuvic.inferisobandjquerylibjsonlitekappalabkernlabknitrlabelinglaterlatticelavaanlazyevallifecyclelistenvlme4lmtestlpSolvemagrittrMASSMatrixMatrixModelsmemoisemgcvmimeminqamnormtmodelrmvtnormnlmenloptrnnetnormnumDerivotelparallellypbivnormpbkrtestpillarpkgconfigprogressrpromisespurrrquadprogquantregR6rappdirsrbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreformulasrestriktorrlangrmarkdownS7sandwichsassscalesshinysourcetoolsSparseMstringistringrsurvivaltibbletidyrtidyselecttimeDatetinytextmvtnormurcautf8vctrsviridisLitewithrxfunxtableyamlzoo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| EffectLiteR | EffectLiteR-package EffectLiteR |
| Autoselect Subset for Aggregated Effects | autoSelectSubset |
| Compute Aggregated Effects | computeAggregatedEffects |
| Plot conditional effects | conditionalEffectsPlot |
| Estimate average and conditional effects | effectLite |
| Informative hypothesis tests for effectLite | effectLite_iht |
| Shiny interface for effectLite | effectLiteGUI |
| Dataset elrdata_categorical_items. | elrdata_categorical_items |
| Dataset elrdata_kieferetal2024. | elrdata_kieferetal2024 |
| Dataset elrdata_logreg. | elrdata_logreg |
| Average and conditional effects based on generalized linear models | elrEffects |
| Shiny interface for elrEffects | elrEffectsGUI |
| Predict Conditional Effects | elrPredict |
| Read Data File | elrReadData |
| Dataset example_multilevel. | example_multilevel |
| Dataset example01. | example01 |
| Dataset example02lv. | example02lv |
| Generate measurement model | generateMeasurementModel |
| Dataset MDRS2016. | MDRS2016 |
| Dataset nonortho. | nonortho |
| Dataset sophonet_data_simulated. | sophonet_data_simulated |
