VBmix (version 0.3.2)

subMppca:

Description

removes unused components and factor columns from model.

Usage

subMppca(model, prune = FALSE, thres = 2.001, quick = FALSE, noxmean = TRUE)

Arguments

model

MPPCA model to be shrinked.

prune

if TRUE, void factor columns are removed.

thres

threshold for component selection. A components is selected iif alpha > thres.

quick

influences method for void factor columns detection. If FALSE, a KL-based criterion is employed (more accurate). If TRUE, column norms are used (useful for very high dimensional data sets).

noxmean

should always be set to TRUE.

Value

shrinked MPPCA model.

See Also

mppca newMppca

Examples

# use a subsample of pendat, for runtime (packaging) needs.
temp <- mppca(pendat[sample(1:2000,150),], 15, qmax=8, maxit=20)
temp2 <- subMppca(temp, prune=TRUE, quick=TRUE)