rqt: utilities for gene-level meta-analysis

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Documentation for package ‘rqt’ version 1.30.0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

build.null.model	Applies linear of logistic regregression to the data.
covariates	This function performs an access to covariates
covariates-method	This function performs an access to covariates
geneTest	This function performs a gene-level test based on combined effect sizes.
geneTest-method	This function performs a gene-level test based on combined effect sizes.
geneTestMeta	This function performs a gene-level meta-analysis based on combined effect sizes.
geneTestMeta-method	This function performs a gene-level meta-analysis based on combined effect sizes.
genotype	This function performs an access to genotype.
genotype-method	This function performs an access to genotype.
get.a	Get a given STT
phenotype	This function performs an access to phenotype
phenotype-method	This function performs an access to phenotype
preprocess	Preprocess input data with Principal Component Analysis method (PCA)
results	This function performs an access to covariates
results-method	This function performs an access to covariates
rqt	The rqt class constructor
rqt-class	The rqt class
rqt-general	General functions of 'rqt' such as accessors and printing.
show.rqt	General functions of 'rqt' such as accessors and printing.
simple.multvar.reg	Applies linear of logistic regregression to the data.
vcov_ridge	vcov_ridge: returns variance-covariance matrix and standard deviation for ridge/LASSO regression object