EffectLiteR (version 0.5-1)

Average and Conditional Effects

Description

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.

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Install

install.packages('EffectLiteR')

Monthly Downloads

451

Version

0.5-1

License

GPL (>= 2)

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Repository

https://github.com/amayer2010/EffectLiteR

Maintainer

Axel Mayer

Last Published

September 1st, 2024

Functions in EffectLiteR (0.5-1)

elrdata_kieferetal2024

Dataset elrdata_kieferetal2024.

elrdata_categorical_items

Dataset elrdata_categorical_items.

example01

Dataset example01.

generateMeasurementModel

Generate measurement model

sophonet_data_simulated

Dataset sophonet_data_simulated.

nonortho

Dataset nonortho.

computeAggregatedEffects

Compute Aggregated Effects

effectLiteGUI

Shiny interface for effectLite

EffectLiteR-package

EffectLiteR

conditionalEffectsPlot

Plot conditional effects

effectLite_iht

Informative hypothesis tests for effectLite

autoSelectSubset

Autoselect Subset for Aggregated Effects

elrEffectsGUI

Shiny interface for elrEffects

effectLite

Estimate average and conditional effects

elrEffects

Average and conditional effects based on generalized linear models

MDRS2016

Dataset MDRS2016.

elrPredict

Predict Conditional Effects

elrdata_logreg

Dataset elrdata_logreg.

example_multilevel

Dataset example_multilevel.