rqt: utilities for gene-level meta-analysis


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Documentation for package ‘rqt’ version 1.32.0

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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.
geneTestOne get.reg.family
genotype This function performs an access to genotype.
genotype-method This function performs an access to genotype.
get.a Get a given STT
get.reg.family get.reg.family
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)
preprocessLASSO preprocessLASSO
preprocessPCA preprocessPCA
preprocessPLS preprocessPLS
preprocessRidge preprocessLASSO
print.rqt General functions of 'rqt' such as accessors and printing.
results This function performs an access to covariates
results-method This function performs an access to covariates
ridge_se Importing required packages and functions
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.
summary.rqt General functions of 'rqt' such as accessors and printing.
vcov_ridge vcov_ridge: returns variance-covariance matrix and standard deviation for ridge/LASSO regression object