sd_density {BayesGP}R Documentation

Obtain the posterior density of a SD parameter in the fitted model

Description

Obtain the posterior density of a SD parameter in the fitted model

Usage

sd_density(
  object,
  component = NULL,
  h = NULL,
  theta_logprior = NULL,
  MCMC_samps_only = FALSE
)

Arguments

object

The fitted object from the function 'model_fit'.

component

The component of the SD parameter that you want to show. By default this is 'NULL', indicating the family.sd is of interest.

h

For PSD, the unit of predictive step to consider, by default is set to 'NULL', indicating the result is using the same 'h' as in the model fitting.

theta_logprior

The log prior function used on the selected SD parameter. By default is 'NULL', and the current Exponential prior will be used.

MCMC_samps_only

For model fitted with MCMC, whether only the posterior samples are needed.

Value

A data.frame that contains the posterior and prior densities of the SD parameter. The SD parameter will be converted into PSD if applicable.


[Package BayesGP version 0.1.3 Index]