BFc: Bayes Factors

In bpnreg: Bayesian Projected Normal Regression Models for Circular Data

Description

BF gives Bayes factors for inequality constrained hypotheses on circular mean differences.

Usage

BFc(object, hypothesis, type = "anchor")

Arguments

object	an object used to select a method.
hypothesis	the inequality constrained hypothesis to test.
type	type of hypothesis to test c("anchor", "isotropic"). As of yet only anchor hypotheses can be tested.

Details

the methods BFc.bpnr and BFc.bpnme have their own help page.

Examples

library(bpnreg)
fit.Motor <- bpnr(pred.I = Phaserad ~ 1 + Cond, data = Motor,
its = 100, burn = 10, n.lag = 3)
BFc(fit.Motor, hypothesis = "Condsemi.imp < Condimp")

bpnreg documentation built on Aug. 6, 2021, 9:07 a.m.