update doc and loo recommendations

R/loo.R

@@ -27,9 +27,10 @@
 #'  details.
 #' @param reloo Logical; Indicate whether \code{\link{reloo}}
 #'  should be applied on problematic observations. Defaults to \code{FALSE}.
-#' @param k_threshold The threshold at which pareto \eqn{k}
-#'   estimates are treated as problematic. Defaults to \code{0.7}.
-#'   Only used if argument \code{reloo} is \code{TRUE}.
+#' @param k_threshold The Pareto \eqn{k} threshold for which observations
+#'   \code{\link{loo_moment_match}} or \code{\link{reloo}} is applied if
+#'   argument \code{moment_match} or \code{reloo} is \code{TRUE}.
+#'   Defaults to \code{0.7}.
 #'   See \code{\link[loo:pareto-k-diagnostic]{pareto_k_ids}} for more details.
 #' @param save_psis Should the \code{"psis"} object created internally be saved
 #'   in the returned object? For more details see \code{\link[loo:loo]{loo}}.
@@ -677,13 +678,19 @@ recommend_loo_options <- function(loo, k_threshold = 0.7, moment_match = FALSE,
   } else {
     model_name <- ""
   }
-  n <- length(loo::pareto_k_ids(loo, threshold = k_threshold))
   ndraws <- dim(loo)[1] %||% Inf
-  if (n > 0 && ndraws < 2200) {
+  n <- length(loo::pareto_k_ids(loo, threshold = k_threshold))
+  k_threshold2 <- ps_khat_threshold(ndraws)
+  if (k_threshold2 < k_threshold) {
+    n2 <- length(loo::pareto_k_ids(loo, threshold = k_threshold2))
+  } else {
+    n2 <- n
+  }
+  if (n2 > n && k_threshold2<=0.7) {
     warning2(
-      "Found ", n, " observations with a pareto_k > ", k_threshold,
+      "Found ", n2, " observations with a pareto_k > ", round(k_threshold2,2),
       model_name, ". We recommend to run more iterations to get at least ",
-      "about 2200 posterior draws for more reliable pareteo_k estimation."
+      "about 2200 posterior draws to improve the LOO accuracy."
     )
     out <- "loo_more_draws"
   } else if (n > 0 && !moment_match) {
@@ -991,3 +998,16 @@ print.iclist <- function(x, digits = 2, ...) {
   print(round(mat, digits = digits), na.print = "")
   invisible(x)
 }
+
+#' Pareto-smoothing k-hat threshold
+#'
+#' Given sample size S computes khat threshold for reliable Pareto
+#' smoothed estimate (to have small probability of large error). See
+#' section 3.2.4, equation (13).
+#' @param S sample size
+#' @param ... unused
+#' @return threshold
+#' @noRd
+ps_khat_threshold <- function(S, ...) {
+  1 - 1 / log10(S)
+}

R/loo_moment_match.R

@@ -9,8 +9,8 @@
 #' @inheritParams predict.brmsfit
 #' @param x An object of class \code{brmsfit}.
 #' @param loo An object of class \code{loo} originally created from \code{x}.
-#' @param k_threshold The threshold at which Pareto \eqn{k}
-#'   estimates are treated as problematic. Defaults to \code{0.7}.
+#' @param k_threshold The Pareto \eqn{k} threshold for which observations
+#'   moment matching is applied. Defaults to \code{0.7}.
 #'   See \code{\link[loo:pareto-k-diagnostic]{pareto_k_ids}}
 #'   for more details.
 #' @param check Logical; If \code{TRUE} (the default), some checks