DPP (version 0.1.2)

NormalModel-class: Class "NormalModel"

Description

Objects of the NormalModel class are initialized with prior parameters to be used by the MCMC algorithm in dppMCMC_C class. An object of the class NormalMode will be passed as an argument upon creation of the dppMCMC_C object that will run the MCMC code.

Methods

new(NormalModel,
    mean_prior_mean=0.5,
    mean_prior_sd=0.1,
    sd_prior_shape=3,
    sd_prior_rate=20,
    estimate_concentration_parameter=TRUE,
    concentration_parameter_alpha=10,
    proposal_disturbance_sd=0.1)
       instantiates a NormalModel object
getParameters()
  returns a list with the parameters and arguments supplied upon object initialization 

Examples

# NOT RUN {
#creating an object of the class NormalModel
normal.model<-new(NormalModel,
                  mean_prior_mean=0.5,
                  mean_prior_sd=0.1,
                  sd_prior_shape=3,
                  sd_prior_rate=20,
                  estimate_concentration_parameter=TRUE,
                  concentration_parameter_alpha=10,
                  proposal_disturbance_sd=0.1)
normal.model$getParameters()
# }