rvmmat_test: Calculate prospective and retrospective P-values for RVMMAT...
In ZWang-Lab/RVMMAT: Retrospective Varying Coefficient Mixed Model Association Test
View source: R/rvmmat_pvalue.R
rvmmat_test R Documentation
Calculate prospective and retrospective P-values for RVMMAT test
Description
This function tests a SNPs for a given SNP set for a given estimated null model.
Usage
rvmmat_test(rvmmat.est, G, impute.method = "fixed", GRM = NULL)
Arguments
rvmmat.est
The output of function "rvmmat_est()"
G
The genotype matrix, an m*q matrix where m is the number of subjects and q is the total number genetic variants.
impute.method
choose the iputation method when there is missing genotype. Optional options are: 'random', 'fixed' or 'bestguess'.
GRM
takes m-by-m genetic correlation matrix or kinship matrix.
Value
This function returns a dataframe. The row name is the SNP ID, the first column is the prospective pvalue and the second colum is the restrospective pvalue.
ZWang-Lab/RVMMAT documentation built on Sept. 27, 2024, 5:19 p.m.
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View source: R/rvmmat_pvalue.R
| rvmmat_test | R Documentation |
Calculate prospective and retrospective P-values for RVMMAT test
Description
This function tests a SNPs for a given SNP set for a given estimated null model.
Usage
rvmmat_test(rvmmat.est, G, impute.method = "fixed", GRM = NULL)
Arguments
rvmmat.est |
The output of function "rvmmat_est()" |
G |
The genotype matrix, an m*q matrix where m is the number of subjects and q is the total number genetic variants. |
impute.method |
choose the iputation method when there is missing genotype. Optional options are: 'random', 'fixed' or 'bestguess'. |
GRM |
takes m-by-m genetic correlation matrix or kinship matrix. |
Value
This function returns a dataframe. The row name is the SNP ID, the first column is the prospective pvalue and the second colum is the restrospective pvalue.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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