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SPCompute  

Compute Power or Sample Size for GWAS with Covariate Effect
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("SPCompute", "1.0.3")



Attach the package and use:
library("SPCompute")
Maintained by
Ziang Zhang
[Scholar Profile | Author Map]
First Published: 2022-04-01
Latest Update: 2023-01-24
Description:
Fast computation of the required sample size or the achieved power, for GWAS studies with different types of covariate effects and different types of covariate-gene dependency structure. For the detailed description of the methodology, see Zhang (2022) "Power and Sample Size Computation for Genetic Association Studies of Binary Traits: Accounting for Covariate Effects" <doi:10.48550/arXiv.2203.15641>.
How to cite:
Ziang Zhang (2022). SPCompute: Compute Power or Sample Size for GWAS with Covariate Effect. R package version 1.0.3, https://cran.r-project.org/web/packages/SPCompute. Accessed 30 Apr. 2025.
Previous versions and publish date:
1.0.1 (2022-04-01 09:50), 1.0.2 (2022-09-05 23:00)
Other packages that cited SPCompute R package
View SPCompute citation profile
Other R packages that SPCompute depends, imports, suggests or enhances
Complete documentation for SPCompute
Downloads during the last 30 days
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