naive_model_picker {COMBO}

Select a Logisitic Regression Model for a Given Prior

Description

Select a Logisitic Regression Model for a Given Prior

Usage

naive_model_picker(prior)

Arguments

prior

A character string specifying the prior distribution for the naive \beta parameters. Options are "t", "uniform", "normal", or "dexp" (double Exponential, or Weibull).

Value

naive_model_picker returns a character string specifying the logistic regression model to be turned into a .BUG file and used for MCMC estimation with rjags.