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-4.5)EffectLiteR_0.5-1.zip(r-4.4)EffectLiteR_0.5-1.zip(r-4.3)
EffectLiteR_0.5-1.tgz(r-4.4-any)EffectLiteR_0.5-1.tgz(r-4.3-any)
EffectLiteR_0.5-1.tar.gz(r-4.5-noble)EffectLiteR_0.5-1.tar.gz(r-4.4-noble)
EffectLiteR_0.5-1.tgz(r-4.4-emscripten)EffectLiteR_0.5-1.tgz(r-4.3-emscripten)
EffectLiteR.pdf |EffectLiteR.html✨
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
- MDRS2016 - Dataset MDRS2016.
- elrdata_categorical_items - Dataset elrdata_categorical_items.
- elrdata_kieferetal2024 - Dataset elrdata_kieferetal2024.
- elrdata_logreg - Dataset elrdata_logreg.
- example01 - Dataset example01.
- example02lv - Dataset example02lv.
- example_multilevel - Dataset example_multilevel.
- nonortho - Dataset nonortho.
- sophonet_data_simulated - Dataset sophonet_data_simulated.
Last updated 3 months agofrom:00bc7e3109. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 18 2024 |
R-4.5-win | OK | Nov 18 2024 |
R-4.5-linux | OK | Nov 18 2024 |
R-4.4-win | OK | Nov 18 2024 |
R-4.4-mac | OK | Nov 18 2024 |
R-4.3-win | OK | Nov 18 2024 |
R-4.3-mac | OK | Nov 18 2024 |
Exports:autoSelectSubsetcomputeAggregatedEffectsconditionalEffectsPloteffectLiteeffectLite_ihteffectLiteGUIelrEffectselrEffectsGUIelrPredictelrReadDatagenerateMeasurementModel
Dependencies:abindbackportsbase64encbootbroombslibcachemcarcarDataclicodetoolscolorspacecommonmarkcowplotcpp11crayoncrosstalkDerivdigestdoBydplyrDTevaluatefansifarverfastmapfontawesomeforeignFormulafsfuturefuture.applygenericsggplot2globalsgluegmmgridExtragtablehighrhtmltoolshtmlwidgetshttpuvic.inferisobandjquerylibjsonlitekappalabkernlabknitrlabelinglaterlatticelavaanlazyevallifecyclelistenvlme4lpSolvemagrittrMASSMatrixMatrixModelsmemoisemgcvmicrobenchmarkmimeminqamnormtmodelrmunsellmvtnormnlmenloptrnnetnormnumDerivparallellypbivnormpbkrtestpillarpkgconfigprogressrpromisespurrrquadprogquantregR6rappdirsRColorBrewerRcppRcppEigenrestriktorrlangrmarkdownsandwichsassscalesshinysourcetoolsSparseMstringistringrsurvivaltibbletidyrtidyselecttinytextmvtnormutf8vctrsviridisLitewithrxfunxtableyamlzoo
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 |