Nothing
# A helper function for picking only those elements from an argument list which
# are not arguments in the narrower sense.
#
# @param args_i A list of arguments.
#
# @return Those elements of `args_i` named as follows (if existing):
# * `"mod_nm"`,
# * `"fam_nm"`,
# * everything starting with "tstsetup_" (regexp: "^tstsetup_").
only_nonargs <- function(args_i) {
nms_only <- c("mod_nm", "fam_nm", "pkg_nm", "prj_nm",
grep("^tstsetup_", names(args_i), value = TRUE))
return(args_i[intersect(names(args_i), nms_only)])
}
# A helper function for excluding elements from an argument list which are not
# arguments in the narrower sense.
#
# @param args_i A list of arguments.
# @param nms_excl_add A character vector of element names which should also be
# excluded from `args_i`.
#
# @return `args_i` with the following elements excluded:
# * `"mod_nm"`,
# * `"fam_nm"`,
# * everything starting with "tstsetup_" (regexp: "^tstsetup_").
excl_nonargs <- function(args_i, nms_excl_add = character()) {
nms_excl <- c("mod_nm", "fam_nm", "pkg_nm", "prj_nm",
grep("^tstsetup_", names(args_i), value = TRUE),
nms_excl_add)
return(args_i[setdiff(names(args_i), nms_excl)])
}
# A helper function for creating expectations for the actually used `ndraws` or
# `nclusters` argument of project() as well as for argument `nresample_clusters`
# of proj_predict().
#
# @param args_i A list of arguments supplied to project().
# @param nresample_clusters_crr The value of proj_predict()'s argument
# `nresample_clusters` which should be used for calculating `nprjdraws_out`.
#
# @return A list with elements:
# * `ndr_ncl_nm`: The name of the actually used argument (`ndraws` or
# `nclusters`).
# * `nprjdraws`: The value of the actually used argument.
# * `clust_used`: A single logical value indicating whether the projected
# draws will have nonconstant weights (`TRUE`) or not (`FALSE`).
# * `nprjdraws_out`: The number of projected draws in the output. In contrast
# to `nprjdraws`, this also takes proj_predict()'s argument
# `nresample_clusters` into account.
ndr_ncl_dtls <- function(args_i,
nresample_clusters_crr = nresample_clusters_default) {
ndr_ncl_nm <- intersect(names(args_i), c("ndraws", "nclusters"))
if (length(ndr_ncl_nm) == 0) {
ndr_ncl_nm <- "ndraws"
nprjdraws <- ndraws_pred_default
} else {
stopifnot(length(ndr_ncl_nm) == 1)
nprjdraws <- args_i[[ndr_ncl_nm]]
}
clust_used <- ndr_ncl_nm == "nclusters" && nprjdraws > 1
if (clust_used) {
nprjdraws_out <- nresample_clusters_crr
} else {
nprjdraws_out <- nprjdraws
}
return(nlist(
ndr_ncl_nm,
nprjdraws,
clust_used,
nprjdraws_out
))
}
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