Other packages > Find by keyword >

AssocTests  

Genetic Association Studies
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("AssocTests", "1.0-1")



Attach the package and use:
library("AssocTests")
Maintained by
Lin Wang
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-06-22
Latest Update: 2021-01-10
Description:
Some procedures including EIGENSTRAT (a procedure for detecting and correcting for population stratification through searching for the eigenvectors in genetic association studies), PCoC (a procedure for correcting for population stratification through calculating the principal coordinates and the clustering of the subjects), Tracy-Widom test (a procedure for detecting the significant eigenvalues of a matrix), distance regression (a procedure for detecting the association between a distance matrix and some independent variants of interest), single-marker test (a procedure for identifying the association between the genotype at a biallelic marker and a trait using the Wald test or the Fisher's exact test), MAX3 (a procedure for testing for the association between a single nucleotide polymorphism and a binary phenotype using the maximum value of the three test statistics derived for the recessive, additive, and dominant models), nonparametric trend test (a procedure for testing for the association between a genetic variant and a non-normal distributed quantitative trait based on the nonparametric risk), and nonparametric MAX3 (a procedure for testing for the association between a biallelic single nucleotide polymorphism and a quantitative trait using the maximum value of the three nonparametric trend tests derived for the recessive, additive, and dominant models), which are commonly used in genetic association studies. To cite this package in publications use: Lin Wang, Wei Zhang, and Qizhai Li. AssocTests: An R Package for Genetic Association Studies. Journal of Statistical Software. 2020; 94(5): 1-26.
How to cite:
Lin Wang (2015). AssocTests: Genetic Association Studies. R package version 1.0-1, https://cran.r-project.org/web/packages/AssocTests. Accessed 06 Nov. 2024.
Previous versions and publish date:
0.0-1 (2015-06-22 01:45), 0.0-2 (2015-06-26 14:00), 0.0-3 (2015-08-08 15:39), 0.0-4 (2017-10-14 09:06), 1.0-0 (2020-06-27 08:50)
Other packages that cited AssocTests R package
View AssocTests citation profile
Other R packages that AssocTests depends, imports, suggests or enhances
Complete documentation for AssocTests
Downloads during the last 30 days
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
mailR  
A Utility to Send Emails from R
Interface to Apache Commons Email to send emails from R. ...
Download / Learn more Package Citations See dependency  
memoise  
'Memoisation' of Functions
Cache the results of a function so that when you call it again with the same arguments it returns t ...
Download / Learn more Package Citations See dependency  
seriation  
Infrastructure for Ordering Objects Using Seriation
Infrastructure for ordering objects with an implementation of several seriation/sequencing/ordinati ...
Download / Learn more Package Citations See dependency  
maic  
Matching-Adjusted Indirect Comparison
A generalised workflow for generation of subject weights to be used in Matching-Adjusted Indirect C ...
Download / Learn more Package Citations See dependency  
equatiomatic  
Transform Models into 'LaTeX' Equations
The goal of equatiomatic is to reduce the painassociated with writing LaTeX formulas from fitted mod ...
Download / Learn more Package Citations See dependency  

23,092

R Packages

198,677

Dependencies

62,675

Author Associations

23,089

Publication Badges

© Copyright 2022 - present. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA