resolve green ci (#1293)

close #1282

---------

Signed-off-by: Davide Garolini <[email protected]>
Signed-off-by: Joe Zhu <[email protected]>
Co-authored-by: Davide Garolini <[email protected]>

Author: shajoezhu

DESCRIPTION

@@ -63,7 +63,8 @@ Suggests:
     testthat (>= 3.1.9),
     withr (>= 2.0.0)
 VignetteBuilder:
-    knitr
+    knitr,
+    rmarkdown
 RdMacros:
     lifecycle,
     Rdpack

tests/testthat/setup.R

@@ -1,6 +1,5 @@
 # Extra libraries (suggested) for tests
 library(dplyr)
-library(nestcolor)
 
 # skip_if_too_deep
 skip_if_too_deep <- function(depth) {

tests/testthat/test-individual_patient_plot.R

@@ -3,6 +3,9 @@ adlb <- tern_ex_adlb %>%
   slice(1:36)
 
 testthat::test_that("h_g_ipp works correctly", {
+  skip_if_not_installed("nestcolor")
+  require("nestcolor", quietly = TRUE)
+
   testthat::expect_silent(h_g_ipp(
     df = adlb,
     xvar = "AVISIT",

vignettes/tables.Rmd

@@ -54,7 +54,7 @@ The table layout is materialized with the `rtables::build_table` function and th
 The `tern` analyze functions are wrappers around `rtables::analyze` function, they offer various methods useful from the perspective of clinical trials and other statistical projects.
 
 Examples of the `tern` analyze functions are `count_occurrences`, `summarize_ancova` or  `analyze_vars`.
-As there is no one prefix to identify all `tern` analyze functions it is recommended to use the [the tern website functions reference](https://insightsengineering.github.io/tern/main/reference/index.html).
+As there is no one prefix to identify all `tern` analyze functions it is recommended to use the [the tern website functions reference](https://insightsengineering.github.io/tern/latest-tag/reference/index.html).
 
 ### Internals of `tern` Analyze Functions
 

vignettes/tern.Rmd

@@ -69,7 +69,7 @@ data visualizations helper functions:
 - ...
 
 
-The reference of `tern` functions is available on [the tern website functions reference](https://insightsengineering.github.io/tern/main/reference/index.html).
+The reference of `tern` functions is available on [the tern website functions reference](https://insightsengineering.github.io/tern/latest-tag/reference/index.html).
 
 ---------
 
@@ -82,7 +82,7 @@ The table layout is materialized with the `rtables::build_table` function and th
 The `tern` analytical functions are wrappers around the `rtables::analyze` function; they offer various methods useful from the perspective of clinical trials and other statistical projects.
 
 Examples of the `tern` analytical functions are `count_occurrences`, `summarize_ancova` and `analyze_vars`.
-As there is no one prefix to identify all `tern` analytical functions it is recommended to use the reference subsection on [the tern website](https://insightsengineering.github.io/tern/main/reference/index.html).
+As there is no one prefix to identify all `tern` analytical functions it is recommended to use the reference subsection on [the tern website](https://insightsengineering.github.io/tern/latest-tag/reference/index.html).
 
 In the `rtables` code below we first describe the two tables and assign the descriptions to the variables `lyt` and `lyt2`. We then built the tables using the actual data with `rtables::build_table`. The description of a table is called a table **layout**. The **analyze instruction** adds to the layout that the `ARM` variable should be analyzed with the `mean` analysis function and the result should be rounded to 1 decimal place.
 Hence, a **layout** is “pre-data”; that is, it’s a description of **how to build a table once we get data**.