Cran v0.9.11

.Rbuildignore

@@ -39,3 +39,4 @@ pkgdown
 ^\.covrignore$
 ^\.vscode$
 ^[.]?air[.]toml$
+^CRAN-SUBMISSION$

CRAN-SUBMISSION

@@ -0,0 +1,3 @@
+Version: 0.9.11
+Date: 2026-07-16 14:19:26 UTC
+SHA: 2479aa990c7d5fb6aa87033db238b861256e3a22

DESCRIPTION

@@ -1,6 +1,6 @@
 Package: tern
 Title: Create Common TLGs Used in Clinical Trials
-Version: 0.9.10.9021
+Version: 0.9.11
 Date: 2026-07-15
 Authors@R: c(
     person("Joe", "Zhu", , "joe.zhu@roche.com", role = c("aut", "cre"),

NEWS.md

@@ -1,4 +1,4 @@
-# tern 0.9.10.9021
+# tern 0.9.11
 
 ### Enhancements
 * Added `factor_level_method` argument to `df_explicit_na()` to control factor level ordering
@@ -19,6 +19,7 @@
 * In `estimate_proportion_diff` now also the standard error is available for selected methods in the `se_diff` statistic.
 * Exported `h_incidence_rate()` to allow to reuse the incidence rate estimation logic.
 * Exported `prop_chisq()`, `prop_cmh()`, `prop_fisher()`, and `prop_schouten()` for standalone proportion difference testing.
+* Added `digits` argument to `h_tbl_median_surv()` and `control_surv_med_annot()` to control the `signif()` precision of the median survival time and confidence interval values annotated in `g_km()`. (#1469)
 
 ### Bug Fixes
 * Fixed bug in `prop_diff_cmh()` which previously failed when strata combinations had 0 observations.

tests/testthat/test-prop_diff.R

@@ -564,7 +564,7 @@ testthat::test_that("`estimate_proportion_diff` and strat_newcombe is compatible
       "  95% CI (Stratified Newcombe, without correction)",
       "B", "", "", "A", "25.39", "(3.47, 44.54)"
     ),
-    .Dim = c(3L, 3L)
+    dim = c(3L, 3L)
   )
 
   # Values externally validated

tests/testthat/test-test_proportion_diff.R

@@ -97,8 +97,8 @@ testthat::test_that("prop_cmh also works when there are strata with just one obs
       0L, 0L, 0L, 1L, 0L, 21L, 18L, 3L, 4L, 79L, 16L, 30L, 9L, 1L,
       0L, 13L, 4L
     ),
-    .Dim = c(2L, 2L, 7L),
-    .Dimnames = list(
+    dim = c(2L, 2L, 7L),
+    dimnames = list(
       grp = c("Placebo", "Treatment"),
       x = c("no", "yes"),
       strata = c("A", "B", "C", "D", "E", "F", "G")
@@ -225,8 +225,8 @@ testthat::test_that("prop_cmh with Sato variance estimator works", {
       2L, 7L, 17L, 13L,
       4L, 5L, 13L, 12L
     ),
-    .Dim = c(2L, 2L, 4L),
-    .Dimnames = list(
+    dim = c(2L, 2L, 4L),
+    dimnames = list(
       grp = c("B", "A"),
       rsp = c("TRUE", "FALSE"),
       strata = c("S1", "S2", "S3", "S4")
@@ -244,8 +244,8 @@ testthat::test_that("prop_cmh with Sato variance estimator works", {
       2L, 10L, 17L, 10L,
       4L, 5L, 13L, 12L
     ),
-    .Dim = c(2L, 2L, 4L),
-    .Dimnames = list(
+    dim = c(2L, 2L, 4L),
+    dimnames = list(
       grp = c("B", "A"),
       rsp = c("TRUE", "FALSE"),
       strata = c("S1", "S2", "S3", "S4")
@@ -265,8 +265,8 @@ testthat::test_that("prop_cmh with Sato variance estimator and Wilson-Hilferty t
       2L, 7L, 17L, 13L,
       4L, 5L, 13L, 12L
     ),
-    .Dim = c(2L, 2L, 4L),
-    .Dimnames = list(
+    dim = c(2L, 2L, 4L),
+    dimnames = list(
       grp = c("B", "A"),
       rsp = c("TRUE", "FALSE"),
       strata = c("S1", "S2", "S3", "S4")