MThomas91 · Oct 16, 2026 · Oct 13, 2026 · Oct 13, 2026 · Oct 13, 2026 · Oct 13, 2026
diff --git a/DESCRIPTION b/DESCRIPTION
@@ -1,8 +1,8 @@
 Package: DoseFinding
 Type: Package
 Title: Planning and Analyzing Dose Finding Experiments
-Version: 1.4-1.9000
-Date: 2025-07-08
+Version: 1.4-2.9000
+Date: 2026-10-14
 Authors@R: c(
    person("Bjoern", "Bornkamp", email = "bjoern.bornkamp@novartis.com", 
    comment = c(ORCID = "0000-0002-6294-8185"), role = c("aut")),

diff --git a/NEWS.md b/NEWS.md
@@ -1,5 +1,12 @@
 # DoseFinding (development version)
 
+# DoseFinding 1.4-2
+* Added vignette illustrating analysis of time-to-event data (#9. thanks to Carina Miller for her work on this)
+* added contributors section to readme (#40)
+* plot.DRMod now also works correctly when arguments are provided as expressions (#51) 
+* updated link for github installation (#44) 
+* Rdpack is now used to handle references (#43) 
+
 # DoseFinding 1.4-1
 * Added powMCTInterim function to implement conditional/predictive power
 calculations for interim analyses (#10)

diff --git a/README.Rmd b/README.Rmd
@@ -100,7 +100,7 @@ as listed in the `DESCRIPTION` file.
 
 ### Other authors and substantial contributors
 
-- Ludger Sandig — Vignettes
+- Ludger Sandig — Vignettes, testthat framework
 - Marius Thomas — Bayesian MCP-mod, various updates to code, docs, and tests
 - Daniel Sabanes Bove — powMCTInterim implementation, longitudinal data vignette
 - Carina Miller - Time-to-event vignette

diff --git a/README.md b/README.md
@@ -132,7 +132,7 @@ package authors and maintainers as listed in the `DESCRIPTION` file.
 
 ### Other authors and substantial contributors
 
-- Ludger Sandig — Vignettes
+- Ludger Sandig — Vignettes, testthat framework
 - Marius Thomas — Bayesian MCP-mod, various updates to code, docs, and
   tests
 - Daniel Sabanes Bove — powMCTInterim implementation, longitudinal data

diff --git a/cran-comments.md b/cran-comments.md
@@ -1,8 +1,7 @@
 ## Resubmission
-This is a resubmission. In this version I have made the following updates to reduce check time
-
-* added skips for long running tests
-* skipped evaluation for long-running vignette code
+This is a resubmission. In this version I have made the following updates
+ * fixed broken links
+ * made changes to one vignette to speed up checks
 
 ## R CMD check results
 

diff --git a/inst/REFERENCES.bib b/inst/REFERENCES.bib
@@ -31,7 +31,7 @@ @article{biesheuvel2002
   number={1},
   pages={101--116},
   year={2002},
-  doi = {10.1002/1521-4036(200201)44:13.0.CO;2-H},
+  doi = {10.1002/1521-4036(200201)44:1<101::AID-BIMJ101>3.0.CO;2-H},
   publisher={Wiley Online Library}
 }
 

diff --git a/tests/testsMCT.R b/tests/testsMCT.R
@@ -260,7 +260,7 @@ exm2<-c(0.05,5)
 expo<-0.2
 quad<--0.6
 beta<-c(0.05,4)
-data.sim <- structure(list(X = structure(1:4, .Label = c("0", "10", "20", "40"), class = "factor"),
+data.sim <- structure(list(X = structure(1:4, levels = c("0", "10", "20", "40"), class = "factor"),
                            dose = c(0L, 10L, 20L, 40L),
                            Estimate = c(0.266942236, 3.792703657, 14.69084734, 17.71179102),
                            Cov1 = c(3.685607913, 0.595285049, 0.651289991, 0.742901538),

diff --git a/vignettes/analysis_normal.Rmd b/vignettes/analysis_normal.Rmd
@@ -21,7 +21,7 @@ There is a separate vignette with details on [sample size and power calculation]
 We will use data from @verkindre2010,
 who actually use a cross-over design and utilize MCP-Mod in a supportive analysis.
 More information can be found at the corresponding
-[clinicaltrials.gov page](https://www.clinicaltrials.gov/study/NCT00501852)
+[clinicaltrials.gov page](https://clinicaltrials.gov/study/NCT00501852)
 and on the R help page `?glycobrom`.
 
 The main purpose @verkindre2010 was to provide safety and efficacy data on Glycopyrronium Bromide (NVA237)

diff --git a/vignettes/time_to_event_data.Rmd b/vignettes/time_to_event_data.Rmd
@@ -672,7 +672,7 @@ sampSizeMCT_TTE <- function(mods,
 Now we can calculate how many patients we would need to recruit to achieve an average power of 80%, assuming we would
 recruit for 2 years and we would end the study after 4 years.
 ```{r}
-sampSizeMCT_TTE(mods, alpha = 0.025, alRatio = alRatio, end_rec = 2, end_stu = 4, targPow = 0.8, lowerN = 100, upperN = 500)
+sampSizeMCT_TTE(mods, alpha = 0.025, alRatio = alRatio, end_rec = 2, end_stu = 4, targPow = 0.8, lowerN = 100, upperN = 300)
 ```