estimate.gamma.cpen {EMJMCMC}

Estimate marginal log posterior of a single BGNLM model

Description

Estimate marginal log posterior of a single BGNLM model

Usage

estimate.gamma.cpen(
  formula,
  data,
  r = 1/1000,
  logn = log(1000),
  relat = c("cos", "sigmoid", "tanh", "atan", "sin", "erf")
)

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