"start"
:
A list of starting values for each chain, unless inits="jags"
is used during model estimation. Aliases: "starting.values"
, "inits"
.
"rhat"
:
Each parameter's potential scale reduction
factor for convergence assessment. Can also use "psrf" instead of "rhat"
"ac.10"
:
Each parameter's estimated lag-10 autocorrelation.
"neff"
:
Each parameters effective sample size, taking into account autocorrelation.
"mcmc"
:
An object of class mcmc
containing the individual parameter draws from the MCMC run. Aliases: "draws"
, "samples"
.
"mcobj"
:
The underlying run.jags or stan object that resulted from the MCMC run.
"n.chains"
:
The number of chains sampled.
"cp"
:
The approach used for estimating covariance
parameters ("srs"
or "fa"
); these are only relevant if
using JAGS.
"dp"
:
Default prior distributions used for each type of model parameter.
"postmode"
:
Estimated posterior mode of each free parameter.
"postmean"
:
Estimated posterior mean of each free parameter.
"postmedian"
:
Estimated posterior median of each free parameter.
"lvs"
:
An object of class mcmc
containing latent variable (factor score) draws. In two-level models, use level = 1
or level = 2
to specify which factor scores you want.
"lvmeans"
:
A matrix of mean factor scores (rows are observations, columns are variables). Use the additional level
argument in the same way.
"hpd"
:
HPD interval of each free parameter. In this case, the prob
argument can be used to specify a number in (0,1) reflecting the desired percentage of the interval.