Description Usage Arguments Value See Also Examples
Runs Asymmetric Gaussian MCMC with a season mean structure accross the groups and season variance
1 2 | asg_group_sc(y, x, count, group, season, priors, niter = 4000,
nwarmup = niter/2, nchains = 3, thin = 1, inits = NULL)
|
y |
response variable which follows binomial dist |
x |
explanatory variable |
count |
n in binomial dist |
group |
groups of response |
priors |
list of priors |
niter |
number of interations to be run (default=4000) |
nchains |
number of chains to be run (default=3) |
thin |
when you want to thin (default=1) |
inits |
Add specific initial values |
nwarmiup |
number of iterations to be used as warmup (see link below) |
A MCMC object
http://mc-stan.org/users/documentation/
1 2 3 | priors <- list()
priors$m0
priors$C0
|
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