print_mcmc.circGLM: Print the mcmc results from a circGLM object

In keesmulder/circglmbayes: Bayesian Analysis of a Circular GLM

Print the mcmc results from a circGLM object

Description

This prints a number of diagnostics about the results of a circGLM objects through summary.mcmc from the coda package. In particular, the standard errors may be of interest.

Usage

print_mcmc.circGLM(m, ...)

Arguments

m	A circGLM object.
...	Additional arguments to be passed to coda printing functions.

Details

Note that the standard error and convergence diagnostics computed by coda are not necessarily trustworthy.

See Also

print_text.circGLM, print_all.circGLM, print_coef.circGLM, print.circGLM.

Examples

print(circGLM(th = rvmc(10, 1, 1)), type = "mcmc", digits = 3)

dat <- generateCircGLMData()
cglmmod <- circGLM(th = dat[, 1], X = dat[, -1])
print(cglmmod, type = "mcmc")

keesmulder/circglmbayes documentation built on July 24, 2022, 6:39 a.m.