confint.glmb: Credible Intervals for Model Parameters

In knygren/glmbayes: Bayesian Generalized Linear Models (iid Samples)

Description

Computes credible intervals for Model Parameters

Usage

## S3 method for class 'glmb'
confint(object, parm, level = 0.95, ...)

Arguments

object	a fitted model object of class "glmb". Typically the result of a call to glmb.
parm	a specification (not yet implemented) of which parameters are to be given credible sets, either a vector of numbers or a vector of names. If missing, all parameters are considered.
level	the credible interval required.
...	additional argument(s) for methods.

Value

A matrix (or vector) with columns giving lower and upper credible limits for each parameter. These will be labeled (1-level)/2 and 1-(1-level)/2 in % (by default 2.5% and 97.5%).

Examples

## ----dobson-------------------------------------------------------------------
## Dobson (1990) Page 93: Randomized Controlled Trial :
counts <- c(18,17,15,20,10,20,25,13,12)
outcome <- gl(3,1,9)
treatment <- gl(3,3)

## Prior mean vector 
mu<-matrix(0,5)           
mu[1,1]=log(mean(counts)) 
## Prior standard deviation and Variance
mysd<-1           
V=((mysd)^2)*diag(5)  
## Call to glmb
glmb.D93<-glmb(n=1000,counts ~ outcome + treatment,
               family = poisson(),pfamily=dNormal(mu=mu,Sigma=V))
## ----glmb confint-------------------------------------------------------------
confint(glmb.D93)

knygren/glmbayes documentation built on Sept. 4, 2020, 4:39 p.m.