contr.bayes: Contrast Enforcing Equal Prior Variance on each Level

In EMC2: Bayesian Hierarchical Analysis of Cognitive Models of Choice

Contrast Enforcing Equal Prior Variance on each Level

Description

Typical contrasts impose different levels of marginal prior variance for the different levels. This contrast can be used to ensure that each level has equal marginal priors (Rouder, Morey, Speckman, & Province; 2012).

Usage

contr.bayes(n)

Arguments

n	An integer. The number of items for which to create the contrast

Value

A contrast matrix.

Examples

{
design_DDMaE <- design(data = forstmann,model=DDM, contrasts = list(E = contr.bayes),
formula =list(v~S,a~E, t0~1, s~1, Z~1, sv~1, SZ~1),
constants=c(s=log(1)))
}

EMC2 documentation built on April 11, 2025, 5:50 p.m.