mml_cpt_fast: A faster version of mml_cpt

In kelvinyangli/mbmml: Learn Markov blankets using Minimum Message Length

Description

There is no difference between mml_cpt_fast() and mml_cpt(), other than the speed difference.

Usage

mml_cpt_fast(indexListPerNodePerValue, cachedIndicesList, arities,
  sampleSize, parentsIndices, targetIndex, alpha, statingPara)

Arguments

indexListPerNodePerValue	A list of stored indices for each value of each node. It is obtained by the function count_occurance().
cachedIndicesList	A vector of indices stored to speed up calculations.
arities	A vector of variable ariteis.
sampleSize	Sample size of a given data set.
parentsIndices	Indices of parents nodes.
targetIndex	Index of the target node.
alpha	A vector of concentration parameters for a Dirichlet distribution. Range is from zeor to positive infinity, length is equal to the arity of the target variable.
statingPara	If TRUE MML estimate of the parameters are also stated with extra 0.5log(pi*e/6) per parameter, otherwise 0.

kelvinyangli/mbmml documentation built on June 29, 2020, 3:12 a.m.