xdc.ma: Mixture-based Moderator Estimation

In robustanalytics/xdc: Decomposing Gaussian mixture distributions into potentially overlapping components

Description

Using the latent mixture based method to estimate a moderating effect.

Usage

xdc.ma(es, se, ml, k = 2, method = "RMA")

Arguments

es,	the reported effect sizes
se,	the reported standard errors
ml,	the independent variables
k,	the number of mixture components, default to 2
method,	the method for moderator test, default to meta-regression, possible values include: RMA: meta-regression, GRP: subgroup comparison, using abs(mean1-mean2)/sqrt(se1^2+se2^2)

Value

output of moderator analysis

robustanalytics/xdc documentation built on Sept. 4, 2020, 12:37 a.m.