mice
.data.frame.to.matrix(x)
is.mids(data)
is.mipo(data)
is.mira(data)
is.passive(string)
logitreg(x, y, wt = rep(1, length(y)), intercept = TRUE, start, trace = TRUE, ...)
.norm.draw(y, ry, x)
padModel(data, imputationMethod, predictorMatrix, visitSequence, nmis, nvar)
.pmm.match(z, yhat = yhat, y = y)
sampler(p, data, m, imp, r, visitSequence, maxit, printFlag)