Package: bigtcr 1.1

Chenguang Wang

bigtcr: Nonparametric Analysis of Bivariate Gap Time with Competing Risks

For studying recurrent disease and death with competing risks, comparisons based on the well-known cumulative incidence function can be confounded by different prevalence rates of the competing events. Alternatively, comparisons of the conditional distribution of the survival time given the failure event type are more relevant for investigating the prognosis of different patterns of recurrence disease. This package implements a nonparametric estimator for the conditional cumulative incidence function and a nonparametric conditional bivariate cumulative incidence function for the bivariate gap times proposed in Huang et al. (2016) <doi:10.1111/biom.12494>.

Authors:Chenguang Wang [aut, cre], Chiung-Yu Huang [aut], Mei-Cheng Wang [aut]

bigtcr_1.1.tar.gz
bigtcr_1.1.tar.gz(r-4.5-noble)bigtcr_1.1.tar.gz(r-4.4-noble)
bigtcr_1.1.tgz(r-4.4-emscripten)bigtcr_1.1.tgz(r-4.3-emscripten)
bigtcr.pdf |bigtcr.html
bigtcr/json (API)

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

Peer review:

Datasets:
  • pancancer - Example Pancreatic Cancer Dataset

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

1.00 score 6 scripts 151 downloads 6 exports 0 dependencies

Last updated 7 years agofrom:79533e9c56. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKDec 11 2024
R-4.5-linux-x86_64OKDec 11 2024

Exports:get.ccifget.gap.ccifget.gap.ktget.gap.pvalget.kendalltauget.pval

Dependencies: