#' Standardized model scores
#'
#' This function returns model parameters for the individuals used for training
#' the model.
#'
#' @param model FPCA-based growth model
#' @return Matrix containing the scores
#' @export
growthfd.modelPars <- function(model) {
warpn <- model$scores.elements[1];
growthn <- model$scores.elements[2];
n <- nrow(model$growthfpca$scores)
values <- matrix(rep(model$warpfpca$values[1:warpn], each=n), nrow=n);
warpscores <- model$warpfpca$scores / sqrt(values);
values <- matrix(rep(model$growthfpca$values[1:growthn], each=n), nrow=n);
growthscores <- model$growthfpca$scores / sqrt(values);
return(cbind(warpscores, growthscores));
}
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