Man pages for imt
Impact Measurement Toolkit

balancePlotCreate a Baseline Balance Plot.
blmBayesian Linear Model Factory
calcProbCalculate Probability of Posterior Draws Falling Within a...
calculateEffectSizesCalculate Effect Sizes for Treatment vs. Control
checkBaselineCheck Baseline Equivalency.
cleanDataCleans and prepares data for analysis
countMissingCount missing values (NA) in a dataframe
coxsIndexCox's Proportional Hazards Index (Cox's C)
createDataConverts a dataframe into a named list to provide data to a...
credibleIntervalCalculate credible interval from MCMC draws
dot-combineColumnsCombine and Unite Columns
dot-randomize_internalAdd a Random Treatment Indicator Column to a Data Frame
fitFits Stan model.
getStanParameterExtracts parameter from Stan model.
hedgesGHedges' g Effect Size with Pooled Standard Deviation
imt-packageThe 'imt' package
logitBayesian Logit Model Factory
logitRngCalculate logit link and sample from binomial distribution
mcmcChecksMCMC Checks
metaAnalysisCreate a Meta-Analysis Object Using Data From Previous...
negativeBinomialBayesian Negative Binomial Model Factory
pipePipe operator
pointEstimateCalculate Point Estimate (Median or Mean) as Percentage
randomizeRandomly Assign Treatment While Controlling for Baseline...
randomizerRandomization Class for Treatment Assignment
validate_logical_vectorValidate a Logical Subgroup Vector
imt documentation built on Sept. 11, 2024, 5:41 p.m.