hasPriorWeight: Checks for the 'weight' slot in the 'prior' class

In simonsays1980/finmix: An R package for Bayesian estimation of finite mixture distributions

Description

Calling hasPriorWeight() checks if model-appropriate weight parameters are stored in the prior object.

Usage

hasPriorWeight(object, model, verbose = FALSE)

## S4 method for signature 'prior,model'
hasPriorWeight(object, model, verbose = FALSE)

Arguments

object	A prior object containing the specifications for the prior.
model	A model object containing the specifications for the model.
verbose	A logical indicating, if the output should be verbose.

See Also

• prior for the definition of the prior class

• model for the definition of the model class

Examples

# Define a Poisson mixture model.
f_model <- model("poisson", par = list(lambda = c(0.3, 0.7)), K = 2)
# Call the default constructor.
f_prior <- prior()
# Check if the prior has appropriate parameters defined.
hasPriorWeight(f_prior, f_model)
## Not run: hasPriorWeight(f_prior, f_model, TRUE)

simonsays1980/finmix documentation built on Dec. 23, 2021, 2:25 a.m.