Package: CFC 1.2.0

Alireza S. Mahani

CFC: Cause-Specific Framework for Competing-Risk Analysis

Numerical integration of cause-specific survival curves to arrive at cause-specific cumulative incidence functions, with three usage modes: 1) Convenient API for parametric survival regression followed by competing-risk analysis, 2) API for CFC, accepting user-specified survival functions in R, and 3) Same as 2, but accepting survival functions in C++. For mathematical details and software tutorial, see Mahani and Sharabiani (2019) <doi:10.18637/jss.v089.i09>.

Authors:Mansour T.A. Sharabiani, Alireza S. Mahani

CFC_1.2.0.tar.gz
CFC_1.2.0.tar.gz(r-4.5-noble)CFC_1.2.0.tar.gz(r-4.4-noble)
CFC_1.2.0.tgz(r-4.4-emscripten)CFC_1.2.0.tgz(r-4.3-emscripten)
CFC.pdf |CFC.html✨
CFC/json (API)

# Install 'CFC' in R:
install.packages('CFC', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Uses libs:
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library
Datasets:
  • bmt - The Bone Marrow Transplant Data

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.11 score 13 scripts 283 downloads 30 mentions 6 exports 11 dependencies

Last updated 2 years agofrom:a932e2f5d8. Checks:OK: 1 NOTE: 1. Indexed: no.

TargetResultDate
Doc / VignettesOKOct 01 2024
R-4.5-linux-x86_64NOTEOct 01 2024

Exports:cfccfc.pbasiscfc.prepdatacfc.survregcfc.survreg.survprobcfc.tbasis

Dependencies:abindcodetoolsdoParallelforeachiteratorslatticeMatrixRcppRcppArmadilloRcppProgresssurvival