CRAN candidate

CRAN-SUBMISSION

@@ -1,3 +1,3 @@
-Version: 1.2.0
-Date: 2024-07-12 12:10:00 UTC
-SHA: daf4cee64500abb8d78f92d8b1e8f1e588a59884
+Version: 1.2.1
+Date: 2024-08-17 15:36:23 UTC
+SHA: dd44d33e27102fa327b72bdd4893e4b483b362bc

R/hstats.R

@@ -304,10 +304,9 @@ hstats.ranger <- function(
     survival = c("chf", "prob"),
     ...
   ) {
-  survival <- match.arg(survival)
-
+
   if (is.null(pred_fun)) {
-    pred_fun <- pred_ranger
+    pred_fun <- create_ranger_pred_fun(object$treetype, survival = match.arg(survival))
   }
 
   hstats.default(
@@ -323,7 +322,6 @@ hstats.ranger <- function(
     eps = eps,
     w = w,
     verbose = verbose,
-    survival = survival,
     ...
   )
 }

R/ice.R

@@ -174,12 +174,11 @@ ice.ranger <- function(
     survival = c("chf", "prob"),
     ...
   ) {
-  survival <- match.arg(survival)
-
+
   if (is.null(pred_fun)) {
-    pred_fun <- pred_ranger
+    pred_fun <- create_ranger_pred_fun(object$treetype, survival = match.arg(survival))
   }
-  
+
   ice.default(
     object = object,
     v = v,
@@ -192,7 +191,6 @@ ice.ranger <- function(
     strategy = strategy,
     na.rm = na.rm,
     n_max = n_max,
-    survival = survival,
     ...
   )
 }

R/partial_dep.R

@@ -217,12 +217,11 @@ partial_dep.ranger <- function(
     survival = c("chf", "prob"),
     ...
   ) {
-  survival <- match.arg(survival)
-
+
   if (is.null(pred_fun)) {
-    pred_fun <- pred_ranger
+    pred_fun <- create_ranger_pred_fun(object$treetype, survival = match.arg(survival))
   }
-  
+
   partial_dep.default(
     object = object,
     v = v,
@@ -237,7 +236,6 @@ partial_dep.ranger <- function(
     na.rm = na.rm,
     n_max = n_max,
     w = w,
-    survival = survival,
     ...
   )
 }

R/utils_input.R

@@ -127,27 +127,34 @@ prepare_y <- function(y, X) {
 
 #' Predict Function for Ranger
 #' 
-#' Internal function that prepares the predictions of different types of ranger models.
+#' Returns prediction function for different modes of ranger.
 #' 
 #' @noRd
 #' @keywords internal
-#' @param model Fitted ranger model.
-#' @param newdata Data to predict on.
+#' @param treetype The value of `fit$treetype` in a fitted ranger model.
 #' @param survival Cumulative hazards "chf" (default) or probabilities "prob" per time.
-#' @param ... Additional arguments passed to ranger's predict function.
 #' 
-#' @returns A vector or matrix with predictions.
-pred_ranger <- function(model, newdata, survival = c("chf", "prob"), ...) {
+#' @returns A function with signature f(model, newdata, ...).
+create_ranger_pred_fun <- function(treetype, survival = c("chf", "prob")) {
   survival <- match.arg(survival)
 
-  pred <- stats::predict(model, newdata, ...)
+  if (treetype != "Survival") {
+    pred_fun <- function(model, newdata, ...) {
+      stats::predict(model, newdata, ...)$predictions
+    }
+    return(pred_fun)
+  }
+
+  if (survival == "prob") {
+    survival <- "survival"
+  }
 
-  if (model$treetype == "Survival") {
-    out <- if (survival == "chf") pred$chf else pred$survival
+  pred_fun <- function(model, newdata, ...) {
+    pred <- stats::predict(model, newdata, ...)
+    out <- pred[[survival]]
     colnames(out) <- paste0("t", pred$unique.death.times)
-  } else {
-    out <- pred$predictions
+    return(out)
   }
-  return(out)
+  return(pred_fun)
 }
 

backlog/survival_hstats.R

@@ -0,0 +1,33 @@
+library(ranger)
+library(survival)
+library(hstats)
+library(ggplot2)
+
+set.seed(1)
+
+fit <- ranger(Surv(time, status) ~ ., data = veteran)
+fit2 <- ranger(time ~ . - status, data = veteran)
+fit3 <- ranger(time ~ . - status, data = veteran, quantreg = TRUE)
+fit4 <- ranger(status ~ . - time, data = veteran, probability = TRUE)
+
+xvars <- setdiff(colnames(veteran), c("time", "status"))
+
+hstats(fit, X = veteran, v = xvars[1:2], survival = "prob")
+hstats(fit, X = veteran, v = xvars[1:2], survival = "chf")
+hstats(fit2, X = veteran, v = xvars[1:2])
+hstats(fit3, X = veteran, v = xvars[1:2], type = "quantiles")
+hstats(fit4, X = veteran, v = xvars[1:2])
+
+partial_dep(fit, X = veteran, v = "celltype")
+partial_dep(fit, X = veteran, v = "celltype", survival = "prob")
+partial_dep(fit2, X = veteran, v = "celltype")
+partial_dep(fit3, X = veteran, v = "celltype", type = "quantiles")
+partial_dep(fit4, X = veteran, v = "celltype")
+
+
+ice(fit, X = veteran, v = "celltype")
+ice(fit, X = veteran, v = "celltype", survival = "prob")
+ice(fit2, X = veteran, v = "celltype")
+ice(fit3, X = veteran, v = "celltype", type = "quantiles")
+ice(fit4, X = veteran, v = "celltype")
+

cran-comments.md

@@ -1,19 +1,11 @@
-# Re-submission: hstats 1.2.0
+# Re-submission: hstats 1.2.1
 
-Moving the github repo has left some old links in the NEWS file. This is fixed here.
-
-# Original message
-
-Hello CRAN
-
-This release mainly updates the new repository ("ModelOriented" of TU Warcaw instead of my personal one), and adds Prof Biecek as co-author.
+This is a small update, fixing a wrong ORCID.
 
 ## Local checks
 
 0 errors, 0 warnings, 0 notes
 
 ## Winbuilder
 
-Status: 1 NOTE
-R Under development (unstable) (2024-07-11 r86890 ucrt)
-
+Status: OK