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#' @name predict.gimme
#' @title GIMME Predicted Values.
#' @description This function calculates the predicted values of a fitted gimme
#' model.
#' @usage predict.gimme(x)
#' @param x A fitted gimme object.
#' @return List of data frames. Each data frame contains the predicted values of
#' a subject in the data.
#' @author Sebastian Castro-Alvarez
#' @examples
#' \dontrun{
#' paths <- 'V2 ~ V1
#' V3 ~ V4lag'
#'
#' fit <- gimmeSEM(data = simData,
#' out = "C:/simData_out",
#' subgroup = TRUE,
#' paths = paths)
#'
#' predictions <- predict.gimme(fit)
#' }
#' @keywords internal
predict.gimme <- function(x) {
# Verify that x is a 'gimmep' object. If not, abort.
if (!inherits(x, "gimmep")) {
stop("Object ", x, " is not of class 'gimmep'. Aborted.")
}
# Extract number of subjects and variables from the 'gimmep' object.
# number of subjects
nsub <- length(x$data)
# number of endogenous variables
nend <- x$n_endog
# Compute predicted values.
predictions <- list()
for (i in 1:nsub) {
dataX <- as.matrix(x$data[[i]])
coeff <- t(x$path_est_mats[[i]])[, 1:nend]
predictions[[i]] <- as.data.frame(dataX %*% coeff)
}
rm(dataX, coeff, i)
names(predictions) <- names(x$data)
# Return predicted values in a list.
return(predictions)
}
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