parammod: Parameter Model

In SBMSplitMerge: Inference for a Generalised SBM with a Split Merge Sampler

Description

create a parammod object

Usage

parammod(logd, r, t, invt, loggradt, ...)

Arguments

logd	function(params) - log-density function for parameters
r	function(kappa) - random function to draw parameters
t	mapping parameter space to real line
invt	mapping real line to parameter space
loggradt	log of the gradient of mapping t
...	additional arguments to store in the parammod object

Details

A parameter model is a probability model for a params object. This class creates a closure with five functions: - a random method for sampling a params object - a log-density method for computing the log-density of a given params object - a transformation function t that maps a parameter value to the real line - the inverse of t - the log-gradient of t

Value

a parammod object

See Also

param_beta param_gamma param_nbin param_norm

SBMSplitMerge documentation built on July 1, 2020, 5:23 p.m.