update pathfinder args for psis_resample and lp_calculate

R/args.R

@@ -566,7 +566,9 @@ PathfinderArgs <- R6::R6Class(
                             num_paths = NULL,
                             max_lbfgs_iters = NULL,
                             num_elbo_draws = NULL,
-                            save_single_paths = NULL) {
+                            save_single_paths = NULL,
+                            psis_resample = NULL,
+                            calculate_lp = NULL) {
         self$init_alpha <- init_alpha
         self$tol_obj <- tol_obj
         self$tol_rel_obj <- tol_rel_obj
@@ -580,6 +582,8 @@ PathfinderArgs <- R6::R6Class(
         self$max_lbfgs_iters <- max_lbfgs_iters
         self$num_elbo_draws <- num_elbo_draws
         self$save_single_paths <- save_single_paths
+        self$psis_resample <- psis_resample
+        self$calculate_lp <- calculate_lp
       invisible(self)
     },
 
@@ -608,7 +612,9 @@ PathfinderArgs <- R6::R6Class(
           .make_arg("num_paths"),
           .make_arg("max_lbfgs_iters"),
           .make_arg("num_elbo_draws"),
-          .make_arg("save_single_paths")
+          .make_arg("save_single_paths"),
+          .make_arg("psis_resample"),
+          .make_arg("calculate_lp")
         )
       new_args <- do.call(c, new_args)
       c(args, new_args)
@@ -966,6 +972,16 @@ validate_pathfinder_args <- function(self) {
   if (!is.null(self$save_single_paths)) {
     self$save_single_paths <- 0
   }
+  if (!is.null(self$psis_resample) && is.logical(self$psis_resample)) {
+    self$psis_resample = as.integer(self$psis_resample)
+  }
+  checkmate::assert_integerish(self$psis_resample, null.ok = TRUE,
+                               lower = 0, upper = 1, len = 1)
+  if (!is.null(self$calculate_lp) && is.logical(self$calculate_lp)) {
+    self$calculate_lp = as.integer(self$calculate_lp)
+  }
+  checkmate::assert_integerish(self$calculate_lp, null.ok = TRUE,
+                               lower = 0, upper = 1, len = 1)
 
 
   # check args only available for lbfgs and bfgs

R/model.R

@@ -1887,6 +1887,17 @@ CmdStanModel$set("public", name = "variational", value = variational)
 #'   calculating the ELBO of the approximation at each iteration of LBFGS.
 #' @param save_single_paths (logical) Whether to save the results of single
 #'   pathfinder runs in multi-pathfinder.
+#' @param psis_resample (logical) Whether to perform pareto smoothed importance sampling.
+#'  If `TRUE`, the number of draws returned will be equal to `draws`.
+#'  If `FALSE`, the number of draws returned will be equal to `single_path_draws * num_paths`.
+#' @param calculate_lp (logical) Whether to calculate the log probability of the draws.
+#' If `TRUE`, the log probability will be calculated and given in the output.
+#' If `FALSE`, the log probability will only be returned for draws used to determine the
+#'  ELBO in the pathfinder steps. All other draws will have a log probability of `NA`.
+#'  A value of `FALSE` will also turn off pareto smoothed importance sampling as the
+#'  lp calculation is needed for PSIS.
+#' @param save_single_paths (logical) Whether to save the results of single
+#'   pathfinder runs in multi-pathfinder.
 #' @return A [`CmdStanPathfinder`] object.
 #'
 #' @template seealso-docs
@@ -1915,6 +1926,8 @@ pathfinder <- function(data = NULL,
                        max_lbfgs_iters = NULL,
                        num_elbo_draws = NULL,
                        save_single_paths = NULL,
+                       psis_resample = NULL,
+                       calculate_lp = NULL,
                        show_messages = TRUE,
                        show_exceptions = TRUE) {
   procs <- CmdStanProcs$new(
@@ -1940,7 +1953,9 @@ pathfinder <- function(data = NULL,
     num_paths = num_paths,
     max_lbfgs_iters = max_lbfgs_iters,
     num_elbo_draws = num_elbo_draws,
-    save_single_paths = save_single_paths
+    save_single_paths = save_single_paths,
+    psis_resample = psis_resample,
+    calculate_lp = calculate_lp
   )
   args <- CmdStanArgs$new(
     method_args = pathfinder_args,

tests/testthat/test-model-pathfinder.R

@@ -30,7 +30,9 @@ ok_arg_values <- list(
   draws = 100,
   num_paths = 4,
   max_lbfgs_iters = 100,
-  save_single_paths = FALSE)
+  save_single_paths = FALSE,
+  calculate_lp = TRUE,
+  psis_resample=TRUE)
 
 # using any one of these should cause sample() to error
 bad_arg_values <- list(