summaryChain: Compute mean, standard deviation, and quantiles of an MCMC...

In glmmBUGS: Generalised Linear Mixed Models with BUGS and JAGS

Description

Computes summary statistics for each parameter.

Usage

summaryChain(chain, probs = c(0.005, 0.025, 0.05, 0.5))

Arguments

chain	The result from restoreParams, or the sims.array component of a bugs call.
probs	Quantiles for the posterior credible interval

Value

A list of matrices, with rows corresponding to summary statistics and columns to parameters.

scalar	Matrix for the scalar parameters
...	One matrix for each vector valued parameter
FittedRateReffect	For spatial models only, summaries on the natural scale (exponential of FittedReffect).

Author(s)

Patrick Brown

See Also

restoreParams

Examples

# create a simple chain
thechain = list(beta = array(1, c(10, 3,4), 
dimnames = list(NULL, NULL, paste("beta[", 1:4, "]", sep=""))), 
intercept = matrix(1, 10, 3))

summaryChain(thechain)

glmmBUGS documentation built on May 2, 2018, 1:03 a.m.