bpnreg (version 2.0.1)

BFc.bpnme: Bayes Factors for a Bayesian circular mixed-effects model

Description

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

Usage

# S3 method for bpnme
BFc(object, hypothesis, type = "anchor")

Arguments

object

a bpnme object obtained from the function bpnme.

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

# NOT RUN {
library(bpnreg)
fit.Maps <- bpnme(pred.I = Error.rad ~ Maze + Trial.type + L.c + (1|Subject),
data = Maps, its = 100, burn = 1, n.lag = 1)
BFc(fit.Maps, hypothesis = "Maze1 < Trial.type1")

# }