Package: TimeVTree 0.3.1
Euyhyun Lee
TimeVTree: Survival Analysis of Time Varying Coefficients Using a Tree-Based Approach
Estimates time varying regression effects under Cox type models in survival data using classification and regression tree. The codes in this package were originally written in S-Plus for the paper "Survival Analysis with Time-Varying Regression Effects Using a Tree-Based Approach," by Xu, R. and Adak, S. (2002) <doi:10.1111/j.0006-341X.2002.00305.x>, Biometrics, 58: 305-315. Development of this package was supported by NIH grants AG053983 and AG057707, and by the UCSD Altman Translational Research Institute, NIH grant UL1TR001442. The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH. The example data are from the Honolulu Heart Program/Honolulu Asia Aging Study (HHP/HAAS).
Authors:
TimeVTree_0.3.1.tar.gz
TimeVTree_0.3.1.tar.gz(r-4.5-noble)TimeVTree_0.3.1.tar.gz(r-4.4-noble)
TimeVTree_0.3.1.tgz(r-4.4-emscripten)TimeVTree_0.3.1.tgz(r-4.3-emscripten)
TimeVTree.pdf |TimeVTree.html✨
TimeVTree/json (API)
# Install 'TimeVTree' in R: |
install.packages('TimeVTree', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- alcohol - Alcohol Consumption Data
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 7 years agofrom:afe28762d2. Checks:OK: 1 NOTE: 1. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 03 2024 |
R-4.5-linux | NOTE | Nov 03 2024 |
Exports:boot.coxfitbootstrapcoxph.treeelbow.treefinal.treefreeinfmulmat.tvbetaoptimal.cutpointoutput.coxphoutplot_coxphtreeprunerawscorexname
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Alcohol Consumption Data | alcohol |
Bootstrap to Correct for Over-optimism due to Adaptive Splitting | boot.coxfit bootstrap free |
Function to Grow the Tree Using the Score Statistic | coxph.tree infmul rawscore xname |
Finding the Final Tree using the Elbow Method | elbow.tree |
Finding the Final Tree After Bootstrap | final.tree |
Beta coefficient estimate at each time point | mat.tvbeta |
Function to Find the First Cutpoint and its P Value | optimal.cutpoint |
Summary of coxph.tree output | output.coxphout |
Plotting of Full Tree and Subtrees | plot_coxphtree |
Function to Prune Using the Score Statistic | prune |