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bigtcr
View on CRAN: Click
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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]
[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 06 Jan. 2025.
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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