Package: survSNP 0.26

Alexander Sibley

survSNP: Power Calculations for SNP Studies with Censored Outcomes

Conduct asymptotic and empirical power and sample size calculations for Single-Nucleotide Polymorphism (SNP) association studies with right censored time to event outcomes.

Authors:Kouros Owzar, Zhiguo Li, Nancy Cox, Sin-Ho Jung and Chanhee Yi

survSNP_0.26.tar.gz
survSNP_0.26.zip(r-4.7)survSNP_0.26.zip(r-4.6)survSNP_0.26.zip(r-4.5)
survSNP_0.26.tgz(r-4.6-x86_64)survSNP_0.26.tgz(r-4.6-arm64)survSNP_0.26.tgz(r-4.5-x86_64)survSNP_0.26.tgz(r-4.5-arm64)
survSNP_0.26.tar.gz(r-4.7-arm64)survSNP_0.26.tar.gz(r-4.7-x86_64)survSNP_0.26.tar.gz(r-4.6-arm64)survSNP_0.26.tar.gz(r-4.6-x86_64)
survSNP_0.26.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
survSNP/json (API)
NEWS

# Install 'survSNP' in R:
install.packages('survSNP', repos = c('https://dcibioinformatics.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • gsl– GNU Scientific Library (GSL)
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

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

gslcpp

2.68 score 12 scripts 319 downloads 4 mentions 7 exports 8 dependencies

Last updated from:4b869b09f2. Checks:11 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64NOTE132
linux-devel-x86_64NOTE135
source / vignettesOK198
linux-release-arm64NOTE130
linux-release-x86_64NOTE186
macos-release-arm64NOTE125
macos-release-x86_64NOTE203
macos-oldrel-arm64NOTE98
macos-oldrel-x86_64NOTE179
windows-develNOTE165
windows-releaseNOTE124
windows-oldrelNOTE119
wasm-releaseOK111

Exports:asypowcensbndhwesim.snp.expsurv.powersim.snp.expsurv.sctestsurv.exp.gt.modelsurvSNP.power.table

Dependencies:codetoolsforeachiteratorslatticeMatrixRcppsurvivalxtable

survSNP

Rendered fromsurvSNP.Rnwusingknitr::knitron May 18 2026.

Last update: 2023-01-25
Started: 2016-06-29