Impact Measurement Toolkit

Documentation for package ‘imt’ version 1.0.0

.combineColumns	Combine and Unite Columns
.randomize_internal	Add a Random Treatment Indicator Column to a Data Frame
balancePlot	Create a Baseline Balance Plot.
blm	Bayesian Linear Model Factory
calcProb	Calculate Probability of Posterior Draws Falling Within a Range
calculateEffectSizes	Calculate Effect Sizes for Treatment vs. Control
checkBaseline	Check Baseline Equivalency.
cleanData	Cleans and prepares data for analysis
countMissing	Count missing values (NA) in a dataframe
coxsIndex	Cox's Proportional Hazards Index (Cox's C)
createData	Converts a dataframe into a named list to provide data to a Stan model
credibleInterval	Calculate credible interval from MCMC draws
fit	Fits Stan model.
getStanParameter	Extracts parameter from Stan model.
hedgesG	Hedges' g Effect Size with Pooled Standard Deviation
logit	Bayesian Logit Model Factory
logitRng	Calculate logit link and sample from binomial distribution
mcmcChecks	MCMC Checks
metaAnalysis	Create a Meta-Analysis Object Using Data From Previous Studies
negativeBinomial	Bayesian Negative Binomial Model Factory
pointEstimate	Calculate Point Estimate (Median or Mean) as Percentage
randomize	Randomly Assign Treatment While Controlling for Baseline Equivalency
randomizer	Randomization Class for Treatment Assignment
validate_logical_vector	Validate a Logical Subgroup Vector