ehrlinger
diff --git a/‎DESCRIPTION‎
Lines changed: 4 additions & 4 deletions b/‎DESCRIPTION‎
Lines changed: 4 additions & 4 deletions
diff --git a/‎NAMESPACE‎
Lines changed: 9 additions & 0 deletions b/‎NAMESPACE‎
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diff --git a/‎NEWS.md‎
Lines changed: 19 additions & 1 deletion b/‎NEWS.md‎
Lines changed: 19 additions & 1 deletion
diff --git a/‎R/autoplot_methods.R‎
Lines changed: 10 additions & 1 deletion b/‎R/autoplot_methods.R‎
Lines changed: 10 additions & 1 deletion
@@ -1,8 +1,8 @@
 Package: ggRandomForests
 Type: Package
 Title: Visually Exploring Random Forests
-Version: 2.7.3.9001
-Date: 2026-05-19
+Version: 2.7.3.9002
+Date: 2026-05-20
 Authors@R: person("John", "Ehrlinger",
   role = c("aut", "cre"),
   email = "john.ehrlinger@gmail.com")
@@ -22,6 +22,7 @@ Depends:
 Imports:
     randomForestSRC (>= 3.4.0),
     randomForest,
+    varPro,
     survival,
     parallel,
     tidyr,
@@ -45,7 +46,6 @@ Suggests:
     knitr,
     plotly,
     igraph,
-    callr,
-    varPro
+    callr
 VignetteBuilder: quarto
 Config/roxygen2/version: 8.0.0
@@ -4,6 +4,7 @@ S3method(autoplot,gg_brier)
 S3method(autoplot,gg_error)
 S3method(autoplot,gg_partial)
 S3method(autoplot,gg_partial_rfsrc)
+S3method(autoplot,gg_partial_varpro)
 S3method(autoplot,gg_partialpro)
 S3method(autoplot,gg_rfsrc)
 S3method(autoplot,gg_roc)
@@ -31,6 +32,7 @@ S3method(plot,gg_brier)
 S3method(plot,gg_error)
 S3method(plot,gg_partial)
 S3method(plot,gg_partial_rfsrc)
+S3method(plot,gg_partial_varpro)
 S3method(plot,gg_partialpro)
 S3method(plot,gg_rfsrc)
 S3method(plot,gg_roc)
@@ -41,6 +43,7 @@ S3method(print,gg_brier)
 S3method(print,gg_error)
 S3method(print,gg_partial)
 S3method(print,gg_partial_rfsrc)
+S3method(print,gg_partial_varpro)
 S3method(print,gg_partialpro)
 S3method(print,gg_rfsrc)
 S3method(print,gg_roc)
@@ -52,6 +55,7 @@ S3method(summary,gg_brier)
 S3method(summary,gg_error)
 S3method(summary,gg_partial)
 S3method(summary,gg_partial_rfsrc)
+S3method(summary,gg_partial_varpro)
 S3method(summary,gg_partialpro)
 S3method(summary,gg_rfsrc)
 S3method(summary,gg_roc)
@@ -64,6 +68,7 @@ export(gg_brier)
 export(gg_error)
 export(gg_partial)
 export(gg_partial_rfsrc)
+export(gg_partial_varpro)
 export(gg_partialpro)
 export(gg_rfsrc)
 export(gg_roc)
@@ -82,6 +87,8 @@ importFrom(dplyr,select)
 importFrom(ggplot2,.data)
 importFrom(ggplot2,aes)
 importFrom(ggplot2,autoplot)
+importFrom(ggplot2,facet_wrap)
+importFrom(ggplot2,geom_boxplot)
 importFrom(ggplot2,geom_line)
 importFrom(ggplot2,geom_ribbon)
 importFrom(ggplot2,ggplot)
@@ -105,6 +112,8 @@ importFrom(stringr,str_sub)
 importFrom(survival,Surv)
 importFrom(survival,strata)
 importFrom(survival,survfit)
+importFrom(tidyr,all_of)
 importFrom(tidyr,pivot_longer)
 importFrom(utils,head)
 importFrom(utils,tail)
+importFrom(varPro,partialpro)
@@ -1,8 +1,26 @@
 Package: ggRandomForests
-Version: 2.7.3.9001
+Version: 2.7.3.9002
 
 ggRandomForests v2.8.0 (development)
 ====================================
+* **varPro partial dependence: `gg_partial_varpro()` (#84).**
+  - `gg_partial_varpro()` replaces `gg_partialpro()` as the primary entry
+    point for varPro partial dependence plots.  The new extractor accepts
+    an optional `object` argument (the originating `varpro` fit) for
+    provenance-aware axis labeling and a `scale` argument
+    (`"auto"`, `"mortality"`, `"rmst"`, `"surv"`, `"chf"`).
+  - **Ensemble mortality labeling** (Ishwaran et al. 2008): when
+    `scale = "mortality"` (or `scale = "auto"` with a survival forest),
+    the y-axis is labeled "Ensemble mortality (expected events)" — an
+    unbounded relative-risk score, not a survival probability.  The
+    documentation explicitly warns against misinterpretation.
+  - **Survival path C:** `scale = "surv"` or `scale = "chf"` extracts
+    `object$rf` (the embedded rfsrc forest) and returns true S(t)/CHF
+    partial curves via `gg_partial_rfsrc` infrastructure.
+  - `varPro` is now a hard dependency (`Imports:`).
+  - `gg_partialpro()` is soft-deprecated: it emits a deprecation warning
+    and delegates to `gg_partial_varpro()`.  Removal is planned for the
+    release after v2.8.0.
 * **randomForest engine validation & repair (#82).** Fixes #80, #81
   and a `plot.gg_error` label wart; adds full randomForest regression
   coverage. See sub-items below.
 
@@ -34,7 +34,8 @@ NULL
 #'   \item{\code{gg_variable}}{Marginal dependence}
 #'   \item{\code{gg_partial}}{Partial dependence (via \code{plot.variable})}
 #'   \item{\code{gg_partial_rfsrc}}{Partial dependence (via \code{partial.rfsrc})}
-#'   \item{\code{gg_partialpro}}{Partial dependence (via \code{varPro})}
+#'   \item{\code{gg_partial_varpro}}{Partial dependence (via \code{varPro})}
+#'   \item{\code{gg_partialpro}}{Partial dependence via \code{varPro} (deprecated alias)}
 #'   \item{\code{gg_roc}}{ROC curve}
 #'   \item{\code{gg_survival}}{Survival / cumulative hazard curves}
 #'   \item{\code{gg_brier}}{Time-resolved Brier score and CRPS}
@@ -93,6 +94,14 @@ autoplot.gg_partial_rfsrc <- function(object, ...) {
 #' @rdname autoplot.gg
 #' @export
 autoplot.gg_partialpro <- function(object, ...) {
+  ## Deprecated-class shim: re-dispatch to autoplot.gg_partial_varpro.
+  class(object) <- c("gg_partial_varpro", setdiff(class(object), "gg_partialpro"))
+  autoplot.gg_partial_varpro(object, ...)
+}
+
+#' @rdname autoplot.gg
+#' @export
+autoplot.gg_partial_varpro <- function(object, ...) {
   plot(object, ...)
 }