# =============================================================================
# Pooled predicted values from MICE
# earlycapistran@comunidad.unam.mx - March 2021
# =============================================================================
#' Calculates pooled predicted values from muliptly imputed repeated analyses
#' from MICE.
#'
#' @param mira A 'mira' object generated by MICE
#' @return A dataframe with pooled predicted values
#' @export
#' @usage
#' getPooledPreds(mira)
#'
#' @importFrom broom augment
#' @importFrom mice is.mira
getPooledPreds <- function(mira) {
if (!is.mira(mira))
stop("The object must have class 'mira'")
# Calculate predictions from m imputed models
predList <- lapply(mira$analyses, broom::augment)
# Make a dataframe of fitted values from each model
predListDf <- as.data.frame(lapply(predList, `[`, ".fitted"))
means <- apply(predListDf, 1, mean)
# Extract a variable with predictor data
predVar <- predList[[1]][,1]
result <- data.frame(predVar, means)
print(result)
return(result)
}
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