This object is included for illustrative purposes. It is a result of using MCmcmc, with n.iter=20000.

Format

The format is a MCmcmc object.

Details

The data are the ox dataset, where measurements are linked within replicate (=day of analysis).

Examples

 
data(ox.MC)
attr(ox.MC,"mcmc.par")
#> $n.chains
#> [1] 4
#> 
#> $n.iter
#> [1] 20000
#> 
#> $n.burnin
#> [1] 10000
#> 
#> $n.thin
#> [1] 10
#> 
#> $dim
#> [1] 4000   18
#> 
if (FALSE) { # \dontrun{
print.MCmcmc(ox.MC)
trace.MCmcmc(ox.MC)
trace.MCmcmc(ox.MC,"beta")
 post.MCmcmc(ox.MC)
 post.MCmcmc(ox.MC,"beta") } # }
# A MCmcmc object also has class mcmc.list, so we can use the
# coda functions for covergence diagnostics:
if (FALSE)  acfplot( subset.MCmcmc(ox.MC, subset="sigma"))  # \dontrun{}