Package: GSSE 0.1

Baosheng Liang

GSSE: Genotype-Specific Survival Estimation

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.

Authors:Baosheng Liang, Yuanjia Wang and Donglin Zeng

GSSE_0.1.tar.gz
GSSE_0.1.tar.gz(r-4.7-any)GSSE_0.1.tar.gz(r-4.6-any)
GSSE_0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
GSSE/json (API)

# Install 'GSSE' in R:
install.packages('GSSE', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • p0G_data - Data Set for Illustration of the 'p0G' Calculation
  • Simulated_data - Simulated Parkinson's disease data

On CRAN:

Conda:

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

1.00 score 8 scripts 303 downloads 1 mentions 6 exports 3 dependencies

Last updated from:93e106f7a2. Checks:4 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK113
source / vignettesOK148
linux-release-x86_64OK109
wasm-releaseOK96

Exports:EM_PAVA_Funcp0G_FuncPermutation_TestSieve_NPMLE_BootstrapSieve_NPMLE_Switchtest_stat

Dependencies:Isolatticezoo