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[Experimental]

A simple helper function that prepares an object for inits argument of rjags::jags.model(), which is invoked by mcmc() method. The inits argument specifies initial values for model parameters.

Usage

h_jags_get_model_inits(model, data)

Arguments

model

(GeneralModel)
an input model.

data

(GeneralData)
an input data.

Value

A list of starting values for parameters required to be initialized in the MCMC JAGS sampler.

Examples

# Create some data from the class `Data`.
my_data <- Data(
  x = c(0.1, 0.5, 1.5, 3, 6, 10, 10, 10),
  y = c(0, 0, 0, 0, 0, 0, 1, 0),
  doseGrid = c(0.1, 0.5, 1.5, 3, 6, seq(from = 10, to = 80, by = 2))
)
#> Used default patient IDs!
#> Used best guess cohort indices!

# Initialize the CRM model.
my_model <- LogisticLogNormal(
  mean = c(-0.85, 1),
  cov = matrix(c(1, -0.5, -0.5, 1), nrow = 2),
  ref_dose = 56
)

h_jags_get_model_inits(model = my_model, data = my_data)
#> $theta
#> [1] 0 1
#>