Package: tram 1.1-0
tram: Transformation Models
Formula-based user-interfaces to specific transformation models implemented in package 'mlt'. Available models include Cox models, some parametric survival models (Weibull, etc.), models for ordered categorical variables, normal and non-normal (Box-Cox type) linear models, and continuous outcome logistic regression (Lohse et al., 2017, <doi:10.12688/f1000research.12934.1>). The underlying theory is described in Hothorn et al. (2018) <doi:10.1111/sjos.12291>. An extension to transformation models for clustered data is provided (Barbanti and Hothorn, 2022, <doi:10.1093/biostatistics/kxac048>). Multivariate conditional transformation models (Klein et al, 2022, <doi:10.1111/sjos.12501>) and shift-scale transformation models (Siegfried et al, 2023, <doi:10.1080/00031305.2023.2203177>) can be fitted as well.
Authors:
tram_1.1-0.tar.gz
tram_1.1-0.zip(r-4.5)tram_1.1-0.zip(r-4.4)
tram_1.1-0.tgz(r-4.4-x86_64)tram_1.1-0.tgz(r-4.4-arm64)
tram_1.1-0.tar.gz(r-4.5-noble)tram_1.1-0.tar.gz(r-4.4-noble)
tram_1.1-0.tgz(r-4.4-emscripten)
tram.pdf |tram.html✨
tram/json (API)
NEWS
# Install 'tram' in R: |
install.packages('tram', repos = c('https://r-forge.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://r-forge.r-project.org/projects/ctm
Last updated 4 days agofrom:2e487b9312. Checks:OK: 5 NOTE: 1. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Sep 04 2024 |
R-4.5-win-x86_64 | NOTE | Sep 04 2024 |
R-4.5-linux-x86_64 | OK | Sep 04 2024 |
R-4.4-win-x86_64 | OK | Sep 04 2024 |
R-4.4-mac-x86_64 | OK | Sep 04 2024 |
R-4.4-mac-aarch64 | OK | Sep 04 2024 |
Exports:AaregBoxCoxColrComprisCoxphL1LehmannLmmmltmmltoptimmtramOVLperm_testPIPolrROCscore_testSurvregtramtram_dataTV
Dependencies:alabamabasefunBBcodetoolsconeprojFormulalatticeMASSMatrixmltmultcompmvtnormnloptrnumDerivorthopolynompolynomquadprogRcppRcppArmadillosandwichsurvivalTH.datavariableszoo