BFc.bpnr {bpnreg}

Bayes Factors for a Bayesian circular regression model

Description

Outputs Bayes Factors for the circular differences between several levels of a categorical variable and the baseline.

Usage

## S3 method for class 'bpnr'
BFc(object, hypothesis, type = "anchor")

Arguments

object

a bpnr object obtained from the function bpnr().

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.

Value

Bayes Factors for inequality constrained hypotheses on mean differences.

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")