Package: tram 1.1-2
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_1.1-2.tar.gz
tram_1.1-2.zip(r-4.5)tram_1.1-2.zip(r-4.4)
tram_1.1-2.tgz(r-4.4-x86_64)tram_1.1-2.tgz(r-4.4-arm64)
tram_1.1-2.tar.gz(r-4.5-noble)tram_1.1-2.tar.gz(r-4.4-noble)
tram_1.1-2.tgz(r-4.4-emscripten)
tram.pdf |tram.html✨
tram/json (API)
NEWS
# Install 'tram' in R: |
install.packages('tram', repos = c('https://trafo-universe.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://r-forge.r-project.org/projects/ctm
Last updated 6 days agofrom:bf68b8828a. Checks:OK: 6. Indexed: no.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 17 2024 |
R-4.5-win-x86_64 | OK | Oct 17 2024 |
R-4.5-linux-x86_64 | OK | Oct 17 2024 |
R-4.4-win-x86_64 | OK | Oct 17 2024 |
R-4.4-mac-x86_64 | OK | Oct 17 2024 |
R-4.4-mac-aarch64 | OK | Oct 17 2024 |
Exports:AaregBoxCoxColrComprisCoxphL1LehmannLmMmltmtramOVLperm_testPIPolrROCscore_testSurvregtramtram_dataTV
Dependencies:alabamabasefunBBcodetoolsconeprojFormulalatticeMASSMatrixmltmultcompmvtnormnloptrnumDerivorthopolynompolynomquadprogRcppRcppArmadillosandwichsurvivalTH.datavariableszoo
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Aalen Additive Hazards Model | Aareg |
(Similar to) Box-Cox Models | BoxCox |
Continuous Outcome Logistic Regression | Colr |
Competing Risk Regression | Compris |
Cox Proportional Hazards Model | Coxph |
Proportional Reverse Time Hazards Linear Regression | Lehmann |
Normal Linear Model | Lm |
Multivariate Conditional Transformation Models | Mmlt |
Transformation Models for Clustered Data | mtram |
Permutation Transformation Tests | perm_test perm_test.tram |
Ordered Categorical Regression | Polr |
Transformation Score Tests and Confidence Intervals | score_test score_test.tram |
Parametric Survival Models | Survreg |
Stratified Linear Transformation Models | tram tram_data |
Methods for Stratified Linear Transformation Models | as.mlt.tram coef.Lm coef.Survreg coef.tram estfun.tram L1 L1.default L1.tram logLik.tram model.frame.tram model.matrix.stram model.matrix.tram OVL OVL.default OVL.tram PI PI.default PI.tram plot.ROCtram plot.tram predict.stram predict.tram residuals.tram ROC ROC.default ROC.tram TV TV.default TV.tram vcov.tram |