- Latest development version.
- Minor documentation edits.
- Minor edits to setting seed.
- Added the
MCMI()
function to perform Monte Carlo simulation of parameters for data sets with missing values using multiple imputation.
- The Monte Carlo simulation of parameters
is done by the
MC()
function. The output of theMC()
function is passed to theBetaMC()
,RSqMC()
,SCorMC()
,DeltaRSqMC()
,PCorMC()
, andDiffBetaMC()
functions to generate Monte Carlo confidence intervals for various regression effect sizes.
- And so it begins.