Survival helpers

DESCRIPTION

@@ -1,6 +1,6 @@
 Package: parsnip
 Title: A Common API to Modeling and Analysis Functions
-Version: 1.0.4.9000
+Version: 1.0.4.9001
 Authors@R: c(
     person("Max", "Kuhn", , "[email protected]", role = c("aut", "cre")),
     person("Davis", "Vaughan", , "[email protected]", role = "aut"),
@@ -76,4 +76,4 @@ Config/testthat/edition: 3
 Encoding: UTF-8
 LazyData: true
 Roxygen: list(markdown = TRUE)
-RoxygenNote: 7.2.3.9000
+RoxygenNote: 7.2.3

NEWS.md

@@ -7,6 +7,8 @@
 
 * Fixed bug with prediction from a boosted tree model fitted with `"xgboost"` using a custom objective function (#875).
 
+* Several internal functions (to help work with `Surv` objects) were added as a standalone file that can be used in other packages via `usethis::use_standalone("tidymodels/parsnip")`. 
+
 
 # parsnip 1.0.4
 

R/fit.R

@@ -1,8 +1,3 @@
-# General TODOs
-# Q: think about case weights in each instance below
-
-# TODO write a better deparser for calls to avoid off-screen text and tabs
-
 #' Fit a Model Specification to a Dataset
 #'
 #' `fit()` and `fit_xy()` take a model specification, translate the required

R/ipcw.R

@@ -0,0 +1,34 @@
+# ------------------------------------------------------------------------------
+# Functions for using inverse probability of censoring weights (IPCW) in
+# censored regression models
+
+# ------------------------------------------------------------------------------
+# Simple helpers for computing the probability of censoring
+
+# For avoiding extremely large, outlier weights
+trunc_probs <- function(probs, trunc = 0.01) {
+  is_complt_prob <- !is.na(probs)
+  complt_prob <- probs[is_complt_prob]
+  non_zero_min <- min(complt_prob[complt_prob > 0])
+  if (non_zero_min < trunc) {
+    trunc <- non_zero_min / 2
+  }
+  probs[is_complt_prob] <-
+    ifelse(probs[is_complt_prob] <= trunc, trunc, probs[is_complt_prob])
+  probs
+}
+
+.filter_eval_time <- function(eval_time, fail = TRUE) {
+  # will still propagate nulls:
+  eval_time <- eval_time[!is.na(eval_time)]
+  eval_time <- unique(eval_time)
+  eval_time <- sort(eval_time)
+  eval_time <- eval_time[eval_time >= 0 & is.finite(eval_time)]
+  if (fail && identical(eval_time, numeric(0))) {
+    rlang::abort(
+      "There were no usable evaluation times (finite, non-missing, and >= 0).",
+      call = NULL
+    )
+  }
+  eval_time
+}

R/standalone-survival.R

@@ -0,0 +1,88 @@
+# ---
+# repo: tidymodels/parsnip
+# file: standalone-survival.R
+# last-updated: 2023-02-28
+# license: https://unlicense.org
+# ---
+
+# This file provides a portable set of helper functions for Surv objects
+
+# ## Changelog
+
+# 2023-02-28:
+# * Initial version
+
+
+# @param surv A [survival::Surv()] object
+# @details
+# `.is_censored_right()` always returns a logical while
+# `.check_censored_right()` will fail if `FALSE`.
+#
+# `.extract_status()` will return the data as 0/1 even if the original object
+# used the legacy encoding of 1/2. See [survival::Surv()].
+# @return
+# - `.extract_surv_status()` returns a vector.
+# - `.extract_surv_time()` returns a vector when the type is `"right"` or `"left"`
+#    and a tibble otherwise.
+# - Functions starting with `.is_` or `.check_` return logicals although the
+#   latter will fail when `FALSE`.
+
+# nocov start
+# These are tested in the extratests repo since it would require a dependency
+# on the survival package. https://github.com/tidymodels/extratests/pull/78
+.is_censored_right <- function(surv) {
+  .check_cens_type(surv, fail = FALSE)
+}
+
+.check_censored_right <- function(surv) {
+  .check_cens_type(surv, fail = TRUE)
+} # will add more as we need them
+
+.extract_surv_time <- function(surv) {
+  .is_surv(surv)
+  keepers <- c("time", "start", "stop", "time1", "time2")
+  res <- surv[, colnames(surv) %in% keepers]
+  if (NCOL(res) > 1) {
+    res <- tibble::tibble(as.data.frame(res))
+  }
+  res
+}
+
+.extract_surv_status <- function(surv) {
+  .is_surv(surv)
+  res <-   surv[, "status"]
+  un_vals <- sort(unique(res))
+  event_type_to_01 <- !(.extract_surv_type(surv) %in% c("interval", "interval2", "mstate"))
+  if (
+    event_type_to_01 &&
+    (identical(un_vals, 1:2) | identical(un_vals, c(1.0, 2.0))) ) {
+    res <- res - 1
+  }
+  res
+}
+
+.is_surv <- function(surv, fail = TRUE) {
+  is_surv <- inherits(surv, "Surv")
+  if (!is_surv && fail) {
+    rlang::abort("The object does not have class `Surv`.", call = NULL)
+  }
+  is_surv
+}
+
+.extract_surv_type <- function(surv) {
+  attr(surv, "type")
+}
+
+.check_cens_type <- function(surv, type = "right", fail = TRUE) {
+  .is_surv(surv)
+  obj_type <- .extract_surv_type(surv)
+  good_type <- all(obj_type %in% type)
+  if (!good_type && fail) {
+    c_list <- paste0("'", type, "'")
+    msg <- cli::format_inline("For this usage, the allowed censoring type{?s} {?is/are}: {c_list}")
+    rlang::abort(msg, call = NULL)
+  }
+  good_type
+}
+
+# nocov end

tests/testthat/_snaps/ipcw.md

@@ -0,0 +1,8 @@
+# time filtering
+
+    Code
+      parsnip:::.filter_eval_time(-1)
+    Condition
+      Error:
+      ! There were no usable evaluation times (finite, non-missing, and >= 0).
+

tests/testthat/test-ipcw.R

@@ -0,0 +1,42 @@
+test_that('probability truncation', {
+  probs <- seq(0, 1, length.out = 5)
+
+  expect_equal(
+    min(parsnip:::trunc_probs(probs, .4)),
+    min(probs[probs > 0]) / 2
+  )
+  expect_equal(
+    min(parsnip:::trunc_probs(c(NA, probs), .4), na.rm = TRUE),
+    min(probs[probs > 0]) / 2
+  )
+  expect_equal(
+    min(parsnip:::trunc_probs(probs)),
+    0.01
+  )
+  expect_equal(
+    min(parsnip:::trunc_probs((1:200)/200)),
+    1 / 200
+  )
+})
+
+
+test_that('time filtering', {
+  times_1 <- 0:10
+  times_2 <- c(Inf, NA, -3, times_1, times_1)
+
+  expect_equal(
+    parsnip:::.filter_eval_time(times_1),
+    times_1
+  )
+  expect_equal(
+    parsnip:::.filter_eval_time(times_1),
+    times_1
+  )
+  expect_snapshot(error = TRUE, parsnip:::.filter_eval_time(-1))
+  expect_null(parsnip:::.filter_eval_time(NULL))
+})
+
+
+
+
+