mash_1by1: Perform condition-by-condition analyses

In mashr: Multivariate Adaptive Shrinkage

Perform condition-by-condition analyses

Description

Performs simple "condition-by-condition" analysis by running ash from package ashr on data from each condition, one at a time. May be a useful first step to identify top hits in each condition before a mash analysis.

Usage

mash_1by1(data, alpha = 0, ...)

Arguments

data	A list with the following two elements: Bhat an n by R matrix of observations (n units in R conditions); and Shat, an n by R matrix of standard errors (n units in R conditions),
alpha	Numeric value of alpha parameter in the model. alpha = 0 for Exchangeable Effects (EE), alpha = 1 for Exchangeable Z-scores (EZ).
...	optionally, other parameters to be passed to ash

Value

A list similar to the output of mash, particularly including posterior matrices.

Examples

simdata = simple_sims(50,5,1)
mash_1by1(simdata)

mashr documentation built on Oct. 18, 2023, 5:08 p.m.