Description
Partially penalized versions of specific transformation models implemented in package 'mlt'. Available models include a fully parametric version of the Cox model, other parametric survival models (Weibull, etc.), models for binary and ordered categorical variables, normal and transformed-normal (Box-Cox type) linear models, and continuous outcome logistic regression. Hyperparameter tuning is facilitated through model-based optimization functionalities from package 'mlrMBO'. The accompanying vignette describes the methodology used in 'tramnet' in detail. Transformation models and model-based optimization are described in Hothorn et al. (2019) <doi:10.1111/sjos.12291> and Bischl et al. (2016) <doi:10.48550/arXiv.1703.03373>, respectively.
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CRAN Check Status
Show all 14 flavors
| Flavor | Status |
|---|---|
| r-devel-linux-x86_64-debian-clang | OK |
| r-devel-linux-x86_64-debian-gcc | OK |
| r-devel-linux-x86_64-fedora-clang | OK |
| r-devel-linux-x86_64-fedora-gcc | OK |
| r-devel-macos-arm64 | OK |
| r-devel-windows-x86_64 | OK |
| r-oldrel-macos-arm64 | OK |
| r-oldrel-macos-x86_64 | OK |
| r-oldrel-windows-x86_64 | OK |
| r-patched-linux-x86_64 | OK |
| r-release-linux-x86_64 | OK |
| r-release-macos-arm64 | OK |
| r-release-macos-x86_64 | OK |
| r-release-windows-x86_64 | OK |
Check History
OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 17, 2026
ERROR 12 OK · 0 NOTE · 0 WARNING · 2 ERROR · 0 FAILURE Mar 10, 2026
tests
Running ‘Colr-pen.R’ [14s/18s]
Running the tests in ‘tests/Colr-pen.R’ failed.
Complete output:
> # Tests for COLR models
>
> set.seed(0)
>
> ## Depencies
> ## IGNORE_RDIFF_BEGIN
> library("tramnet")
Loading required package: tram
...[truncated]...
n Rmosek::mosek(prob, opts) :
Unknown exported object to be built. Please use 'Rmosek::mosek_attachbuilder' to complete the installation of Rmosek.
Calls: tramnet ... method(solve_via_data, CVXR::Mosek_Solver) -> <Anonymous>
Execution halted
Rd cross-references
Missing link(s) in Rd file 'tramnet.Rd':
'[CVXR]{solve}'
See section 'Cross-references' in the 'Writing R Extensions' manual.