All functions

calc.qtl.stat()

calculate univariate effect sizes and p-values

fast.cov()

Covariance calculation (speed is a bit improved)

fast.z.cov()

Covariance z-score calculation (speed is a bit improved)

fit.med.zqtl()

Variational inference of zQTL mediation

fit.zqtl()

Variational inference of zQTL regression

fit.zqtl.factorize()

Variational inference of zQTL factorization to identify potential confounders across GWAS statistids

fit.zqtl.vanilla()

Inference of zQTL regression without multivariate effect size.

impute.zscore()

Impute z-scores

log.msg()

output log message (override `sprintf`)

project.zscore()

Project z-scores of one LD block to another LD block

read.plink()

Read binary PLINK format

safe.XtY()

Safe X'Y calculation

scale.zscore()

Standardize z-scores.

take.ld.pairs()

Calculate covariance matrix and transform into triangular form for visualization

take.ld.svd()

Decompose the scaled genotype matrix.

take.var.power10()

Estimate standard deviation by the delta method

zscore.pvalue()

convert z-score to p-values (two-sided test)