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:
survSNP_0.26.tar.gz
survSNP_0.26.zip(r-4.5)survSNP_0.26.zip(r-4.4)survSNP_0.26.zip(r-4.3)
survSNP_0.26.tgz(r-4.4-x86_64)survSNP_0.26.tgz(r-4.4-arm64)survSNP_0.26.tgz(r-4.3-x86_64)survSNP_0.26.tgz(r-4.3-arm64)
survSNP_0.26.tar.gz(r-4.5-noble)survSNP_0.26.tar.gz(r-4.4-noble)
survSNP_0.26.tgz(r-4.4-emscripten)survSNP_0.26.tgz(r-4.3-emscripten)
survSNP.pdf |survSNP.html✨
survSNP/json (API)
NEWS
# Install 'survSNP' in R: |
install.packages('survSNP', repos = c('https://dcibioinformatics.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 years agofrom:4b869b09f2. Checks:OK: 9. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 07 2024 |
R-4.5-win-x86_64 | OK | Nov 07 2024 |
R-4.5-linux-x86_64 | OK | Nov 07 2024 |
R-4.4-win-x86_64 | OK | Nov 07 2024 |
R-4.4-mac-x86_64 | OK | Nov 07 2024 |
R-4.4-mac-aarch64 | OK | Nov 07 2024 |
R-4.3-win-x86_64 | OK | Nov 07 2024 |
R-4.3-mac-x86_64 | OK | Nov 07 2024 |
R-4.3-mac-aarch64 | OK | Nov 07 2024 |
Exports:asypowcensbndhwesim.snp.expsurv.powersim.snp.expsurv.sctestsurv.exp.gt.modelsurvSNP.power.table
Dependencies:codetoolsforeachiteratorslatticeMatrixRcppsurvivalxtable
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Power Calculations for SNP Studies with Censored Outcomes | survSNP-package survSNP |
Calculating the asymptotic power and variance | asypow |
Calculate bound for censoring distribution. | censbnd |
Relative genotypic frequencies under HWE | hwe |
Asymptotic and Empirical Power | sim.snp.expsurv.power |
Simulation of Cox Score Statistic | sim.snp.expsurv.sctest |
Exponential Hazard Rates for a Genetic Risk Model | surv.exp.gt.model |
Table for Asymptotic and Empirical Power | survSNP.power.table |