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bigtcr  

Nonparametric Analysis of Bivariate Gap Time with Competing Risks
View on CRAN: Click here


Download and install bigtcr package within the R console
Install from CRAN:
install.packages("bigtcr")

Install from Github:
library("remotes")
install_github("cran/bigtcr")

Install by package version:
library("remotes")
install_version("bigtcr", "1.1")



Attach the package and use:
library("bigtcr")
Maintained by
Chenguang Wang
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-10-30
Latest Update: 2018-01-27
Description:
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) .
How to cite:
Chenguang Wang (2016). bigtcr: Nonparametric Analysis of Bivariate Gap Time with Competing Risks. R package version 1.1, https://cran.r-project.org/web/packages/bigtcr. Accessed 03 Dec. 2024.
Previous versions and publish date:
1.0 (2016-10-30 16:11)
Other packages that cited bigtcr R package
View bigtcr citation profile
Other R packages that bigtcr depends, imports, suggests or enhances
Complete documentation for bigtcr
Functions, R codes and Examples using the bigtcr R package
Some associated functions: bigtcr-package . get.ccif . get.gap.ccif . get.gap.kt . get.gap.pval . get.kendalltau . get.pval . pancancer . 
Some associated R codes: bigtcr_func.R . bigtcr_package.R . bigtcr_tools.R .  Full bigtcr package functions and examples
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