Updated documentation for p_trt in robincar_tte

R/robincar-tte.R

@@ -17,7 +17,7 @@
 #' @param car_scheme Name of the type of covariate-adaptive randomization scheme. One of: "simple", "pocock-simon", "biased-coin", "permuted-block".
 #' @param ref_arm Reference arm of the treatment group, defaults to NULL,
 #'                which results in using the first element of `unique(data[, treat_col])`.
-#' @param p_trt Treatment allocation ratio for the reference arm.
+#' @param p_trt Treatment allocation ratio for the treatment arm.
 #' @param adj_method Adjustment method (one of "CL", "CSL", or "coxscore")
 #' @param sparse_remove Remove sparse car_strata from calculation
 #'

_pkgdown.yml

@@ -7,6 +7,7 @@ articles:
   - articles/Calibration-for-GLM-Models
   - articles/Robust-Testing-for-Time-to-Event-Data
   - articles/Mantel-Haenszel-Statistic
+  - articles/Family
 
 template:
   params:

docs/pkgdown.yml

@@ -4,7 +4,8 @@ pkgdown_sha: ~
 articles:
   Calibration-for-GLM-Models: Calibration-for-GLM-Models.html
   Continuous-and-GLM-Type-Outcomes: Continuous-and-GLM-Type-Outcomes.html
+  Family: Family.html
   Mantel-Haenszel-Statistic: Mantel-Haenszel-Statistic.html
   Robust-Testing-for-Time-to-Event-Data: Robust-Testing-for-Time-to-Event-Data.html
-last_built: 2025-05-22T20:54Z
+last_built: 2025-12-19T16:56Z
 

vignettes/articles/Family.Rmd

@@ -11,8 +11,16 @@ knitr::opts_chunk$set(echo = TRUE)
 
 ```{r}
 library(RobinCar)
-library(RobinCar2)
 library(dplyr)
+
+if (!require("remotes")) {
+  install.packages("remotes")
+}
+remotes::install_github(
+  "openpharma/RobinCar2"
+)
+
+library(RobinCar2)
 ```
 
 This vignette is to accompany the Results section of the RobinCar Family paper.
@@ -104,8 +112,8 @@ For a survival outcome with right-censoring, we can use the RobinCar2 function `
 to do a covariate-adjusted, stratified log-rank test.
 
 ```{r}
-robin_surv(
-  Surv(days, cens) ~ wtkg + oprior + hemo,
+surv <- robin_surv(
+  Surv(days, cens) ~ wtkg + oprior + hemo + strata(strat),
   treatment = arms ~ pb(strat),
   data = data
 )