logScoreNormalPrepare: Internal functions.

In rjbgoudie/structmcmc: Structural inference for Bayesian Networks and Variable Selection.

Description

Convert a data frame to the appropriate format for the fast/incremental logScoreNormal functions, and return as part of the logScoreParameters list.

Usage

  logScoreNormalPrepare(data, logScoreParameters,
    checkInput = T)

Arguments

data	A data.frame, with columns being factors giving the values of each random variable.
logScoreParameters	A list with the following components: data A matrix with columns giving the values of each random variable. nl A numeric vector of length nNodes(currentBN), specifying the number of levels that each random variable takes.
checkInput	A logical of length 1, specifying whether to check the inputs to the function.

Details

In particular, the data is converted to a matrix, and the factor levels taken integer values from 0, 1, .... ie not on 1, 2, 3.

Value

A list with the contents of logScoreParameters, with the following components added or altered:

data

A matrix with columns giving the value of each random variable.

nl

A numeric vector of length ncol(data), specifying the number of levels that each random variable takes.

See Also

logScoreNormal

rjbgoudie/structmcmc documentation built on Nov. 3, 2020, 3:41 a.m.