traceplot.bpnme: Traceplots for a Bayesian circular mixed-effects model
In bpnreg: Bayesian Projected Normal Regression Models for Circular Data

General plot function for a bpnme object.

1 2	## S3 method for class 'bpnme' traceplot(object, parameter = "SAM", variable = NULL)

`object`	a `bpnme object` obtained from the function `bpnme`
`parameter`	one of `c(beta1", "beta2", "b1", "b2", a.x", "a.c", "b.c", "SAM", "AS", "SSDO", "circ.diff", "omega1", "omega2", "cRI", "cRS")` to indicate for which parameter a traceplot is required. `beta1` and `beta2` are the fixed effects coefficients of a mixed-effects model. `b1` and `b2` are the random effects coefficients of a mixed-effects model. `circ.diff` are the circular differences with the intercept on the outcome variable for the different levels of categorical variables. `omega1` and `omega2` are the linear random effect variances and `cRI` and `cRS` are the variances of the circular random intercept and circular random slope.
`variable`	a character string with variable name(s) to indicate for which variable(s) a traceplot is required. This cannot be used in combination with the parameters `c("omega1", "omega2", "cRI", "cRS")`.

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)
traceplot(fit.Maps)