estimate.gamma.cpen_2 {EMJMCMC}

Estimate marginal log posterior of a single BGNLM model with alternative defaults

Description

Estimate marginal log posterior of a single BGNLM model with alternative defaults

Usage

estimate.gamma.cpen_2(
  formula,
  data,
  r = 1/223,
  logn = log(223),
  relat = c("to23", "expi", "logi", "to35", "sini", "troot", "sigmoid")
)

Arguments

formula

formula

data

dataset

r

prior inclusion penalty parameter

logn

logn

relat

a set of nonlinear transformations in the class of BGNLMs of interest

Value

A list of

mlik

marginal likelihood of the model

waic

AIC model selection criterion

dic

BIC model selection criterion

summary.fixed$mean

a vector of posterior modes of the parameters