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mvMAPIT
View on CRAN: Click
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Download and install mvMAPIT package within the R console
Install from CRAN:
install.packages("mvMAPIT")
Install from Github:
library("remotes")
install_github("cran/mvMAPIT")
Install by package version:
library("remotes")
install_version("mvMAPIT", "2.0.3")
Attach the package and use:
library("mvMAPIT")
Maintained by
Julian Stamp
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-12-05
Latest Update: 2023-09-26
Description:
Epistasis, commonly defined as the interaction between genetic
loci, is known to play an important role in the phenotypic variation of
complex traits. As a result, many statistical methods have been developed to
identify genetic variants that are involved in epistasis, and nearly all of
these approaches carry out this task by focusing on analyzing one trait at a
time. Previous studies have shown that jointly modeling multiple phenotypes
can often dramatically increase statistical power for association mapping. In
this package, we present the 'multivariate MArginal ePIstasis Test'
('mvMAPIT')
How to cite:
Julian Stamp (2022). mvMAPIT: Multivariate Genome Wide Marginal Epistasis Test. R package version 2.0.3, https://cran.r-project.org/web/packages/mvMAPIT. Accessed 03 Dec. 2024.
Previous versions and publish date:
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imports, suggests or enhances
Complete documentation for mvMAPIT
Functions, R codes and Examples using
the mvMAPIT R package
Some associated functions: cauchy_combined . fishers_combined . harmonic_combined . mvmapit . mvmapit_data . phillips_data . simulate_traits . simulated_data .
Some associated R codes: MAPIT.R . RcppExports.R . catch-routine-registration.R . combine_pvalues.R . mapit_pvalues.R . mvmapit_data.R . phillips_data.R . simulate_data.R . simulated_data.R . Full mvMAPIT package functions and examples
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