Usage
is.passive(string)
.norm.draw(y, ry, x, ridge = 0.00001, ...)
.norm.fix(y, ry, x, ridge = 0.00001, ...)
padModel(data, method, predictorMatrix, visitSequence, post,
nmis, nvar)
.pmm.match(z, yhat = yhat, y = y, donors=3, ...)
sampler(p, data, m, imp, r, visitSequence, fromto, printFlag,...)
squeeze(x, bounds = c(min(x[r]), max(x[r])), r = rep(TRUE,
length(x)), ...)
augment(y, ry, x, maxcat=50, ...)
remove.lindep(x, y, ry, eps = 0.0001, maxcor = 0.99, allow.na=FALSE,...)
find.collinear(x, threshold=0.999, ...)
updateLog(out=NULL, meth=NULL, frame=2)
mice.df(m, lambda, dfcom)
df.residual.mira(object, ...)
df.residual.lme(object, ...)
df.residual.mer(object, ...)
df.residual.default(object, q=1.3, ...)
supports.transparent(dev=.Device)
rm.whitespace(string, side = "both")
is.string(string)
recycle(...)
check.pattern(pattern, string, replacement = NULL)
ignored.case(string)
is.fixed(string)
make.compact(l)
recall(f, string, pattern, replacement = NULL)
re.mapply(f, string, pattern, replacement = NULL)
str.replace.all(string, pattern, replacement)