JAGS_formula {BayesTools}

Create JAGS formula syntax and data object

Description

Creates a JAGS formula syntax, prepares data input, and returns modified prior list for further processing in the JAGS_fit function

Usage

JAGS_formula(formula, parameter, data, prior_list)

Arguments

formula

formula specifying the right hand side of the assignment (the left hand side is ignored)

parameter

name of the parameter to be created with the formula

data

data.frame containing predictors included in the formula

prior_list

named list of prior distribution of parameters specified within the formula

Value

JAGS_formula returns a list containing the formula JAGS syntax, JAGS data object, and modified prior_list.

See Also

JAGS_fit()

Examples

# simulate data
set.seed(1)
df <- data.frame(
  y      = rnorm(60),
  x_cont = rnorm(60),
  x_bin  = rbinom(60, 1, .5),
  x_fac3 = factor(rep(c("A", "B", "C"), 20), levels = c("A", "B", "C")),
  x_fac4 = factor(rep(c("A", "B", "C", "D"), 15), levels = c("A", "B", "C", "D"))
)

# specify priors
prior_list <- list(
"intercept"     = prior("normal", list(0, 1)),
"x_cont"        = prior("normal", list(0, .5)),
"x_fac3"        = prior_factor("normal",  list(0, 1),  contrast = "treatment"),
"x_fac4"        = prior_factor("mnormal", list(0, 1),  contrast = "orthonormal"),
"x_fac3:x_fac4" = prior_factor("mnormal", list(0, .5), contrast = "orthonormal")
)

# create the formula object
formula <- JAGS_formula(
  formula = ~ x_cont + x_fac3 * x_fac4,
  parameter = "mu", data = df, prior_list = prior_list)