regenerate Rd files

Author: jgabry

DESCRIPTION

@@ -58,5 +58,5 @@ Config/testthat/start-first: loo_subsampling_cases, loo_subsampling
 Encoding: UTF-8
 LazyData: TRUE
 Roxygen: list(markdown = TRUE)
-RoxygenNote: 7.3.2
+RoxygenNote: 7.3.3
 SystemRequirements: pandoc (>= 1.12.3), pandoc-citeproc

R/loo.R

@@ -446,7 +446,7 @@ pointwise_loo_calcs <- function(ll, psis_object) {
 #' @param diagnostics Named list containing vector `pareto_k` and vector `n_eff`.
 #' @param dims Log likelihood matrix dimensions (attribute of `"psis"` object).
 #' @template is_method
-#' @param is_object An object of class `"psis"/"tis"/"sis"`, as returned by the [psis()/tis()/sis()] function.
+#' @param is_object An object of class `"psis"/"tis"/"sis"`, as returned by the `psis()`/`tis()`/`sis()` function.
 #' @return A `'importance_sampling_loo'` object as described in the Value section of the [loo()]
 #'   function documentation.
 #'

R/loo_subsample.R

@@ -471,7 +471,7 @@ estimator_choices <- function() {
 
 #' Utility function to apply user-specified log-likelihood to a single data point
 #' @details
-#' See [elpd_loo_approximation] and [compute_lpds] for usage examples
+#' See `elpd_loo_approximation` and `compute_lpds` for usage examples
 #' @noRd
 #'
 #' @return lpd value for a single data point i
@@ -487,7 +487,7 @@ lpd_i <- function(i, llfun, data, draws) {
 #' using platform-dependent parallel backends when cores > 1
 #'
 #' @details
-#' See [elpd_loo_approximation] for usage examples
+#' See `elpd_loo_approximation` for usage examples
 #'
 #' @noRd
 #' @return a vector of computed log probability densities