rqt: utilities for gene-level meta-analysis


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Documentation for package ‘rqt’ version 1.2.2

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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