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GSSE  

Genotype-Specific Survival Estimation
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("GSSE", "0.1")



Attach the package and use:
library("GSSE")
Maintained by
Baosheng Liang
[Scholar Profile | Author Map]
First Published: 2015-10-20
Latest Update: 2015-10-20
Description:
We propose a fully efficient sieve maximum likelihood method to estimate genotype-specific distribution of time-to-event outcomes under a nonparametric model. We can handle missing genotypes in pedigrees. We estimate the time-dependent hazard ratio between two genetic mutation groups using B-splines, while applying nonparametric maximum likelihood estimation to the reference baseline hazard function. The estimators are calculated via an expectation-maximization algorithm.
How to cite:
Baosheng Liang (2015). GSSE: Genotype-Specific Survival Estimation. R package version 0.1, https://cran.r-project.org/web/packages/GSSE. Accessed 30 Apr. 2025.
Previous versions and publish date:
No previous versions
Other packages that cited GSSE R package
View GSSE citation profile
Other R packages that GSSE depends, imports, suggests or enhances
Complete documentation for GSSE
Functions, R codes and Examples using the GSSE R package
Some associated functions: EM_PAVA_Func . GSSE-package . Permutation_Test . Sieve_NPMLE_Bootstrap . Sieve_NPMLE_Switch . Simulated_data . p0G_Func . p0G_data . test_stat . 
Some associated R codes: EM_PAVA_Func.R . Permutation_Test.R . Sieve_NPMLE_Bootstrap.R . Sieve_NPMLE_Switch.R . p0G_Func.R . test_stat.R .  Full GSSE package functions and examples
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