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Outputs predicted values for a Bayesian circular mixed-effects model for each iteration of the MCMC sampler.
# S3 method for bpnme predict(object, ...)
a bpnme object obtained from the function bpnme.
bpnme object
bpnme
further arguments passed to or from other methods.
a matrix (rows = N, columns = iterations) containing predicted values for the circular outcome for each iteration of the MCMC sampler.
# NOT RUN { library(bpnreg) fit.Motor <- bpnr(pred.I = Phaserad ~ 1 + Cond, data = Motor, its = 100, burn = 10, n.lag = 3) predict(fit.Motor) # }
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