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#' @rdname print.spv
#' @method print spvlistforlist
#' @export
print.spvlistforlist <- function(x, ...){
fornms <- names(x)
desnms <- names(x[[1]])
cat("Object of class 'spvlistforlist'\n")
cat("\nDesign names: \n", paste0(desnms, collapse = ", "), sep = "")
cat("\n\nFormulae: \n", paste0(fornms, collapse = ", "), sep = "")
cat("\n\nCall:\n", paste(deparse(x[[1]][[1]]$call), sep = "\n", collapse = "\n"), sep = "")
cat("\n\nSample dimensions:\n", nrow(x[[1]][[1]]$sample), " columns and ", ncol(x[[1]][[1]]$sample), " rows\n\n", sep = "")
cat("Summary of", ifelse(x[[1]][[1]]$unscaled, "Unscaled Prediction Variance (UPV):\n", "Scaled Prediction Variance (SPV):\n"))
spv_lst <- lapply(x, function(y) do.call(cbind, lapply(y, "[[", "spv")))
for(i in seq_along(fornms)){
cat("\n\tFormula:", fornms[i], "\n")
cat("\tDesigns:\n")
print(summary(spv_lst[[i]]))
}
}
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