calc_fc: Compute the complexity or fit for two hypotheses.

In BayesianPower: Sample Size and Power for Comparing Inequality Constrained Hypotheses

Description

Compute the complexity or fit for two hypotheses.

Usage

calc_fc(hyp, hyp2, means, sds, nsamp = 1000)

Arguments

hyp	A constraint matrix defining H1.
hyp2	A constraint matrix defining H2 OR a character 'u' or 'c' specifying an unconstrained or complement hypothesis
means	A vector of posterior or prior means
sds	A vector or posterior or prior standard deviation
nsamp	A number. The number of prior or posterior samples to determine the fit and complexity

Value

A vector. The proportion of posterior samples in agreement with H1 and with H2

BayesianPower documentation built on July 1, 2020, 6:02 p.m.