Nothing
rescale.cpd <-
function(x, mode=1, newscale=1, absorb=3, ...){
# Rescales Weights of fit CPD model
# Nathaniel E. Helwig (helwig@umn.edu)
# last updated: March 12, 2019
# check mode and absorb
mode <- as.integer(mode[1])
absorb <- as.integer(absorb[1])
if(mode == absorb) stop("Inputs 'mode' and 'absorb' must be different.")
nmodes <- length(x$A)
if(mode < 1 | mode > nmodes) stop("Incorrect input for 'mode'. Must be an integer between 1 and",nmodes)
if(absorb < 1 | absorb > nmodes) stop("Incorrect input for 'absorb'. Must be an integer between 1 and",nmodes)
# check newscale
nfac <- ncol(x$A[[1]])
if(length(newscale)!=nfac) newscale <- rep(newscale[1],nfac)
if(any(newscale <= 0)) stop("Input 'newscale' must contain positive values.")
# rescale factors
Ascale <- sqrt(colMeans(x$A[[mode]]^2))
if(any(Ascale == 0)) Ascale[Ascale == 0] <- 1
svec <- newscale / Ascale
if(nfac==1L) { Smat <- matrix(svec) } else { Smat <- diag(svec) }
x$A[[mode]] <- x$A[[mode]] %*% Smat
if(nfac==1L) { Smat <- matrix(1/svec) } else { Smat <- diag(1/svec) }
x$A[[absorb]] <- x$A[[absorb]] %*% Smat
return(x)
}
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