fit_glm_dag

<code><a rd-options="" href="/link/edgeList?package=sparsebnUtils&version=0.0.8" data-mini-rdoc="sparsebnUtils::edgeList">edgeList</a></code> object.

parents

Either <code>"lm.fit"</code> or <code>"glm.fit"</code>.

call

If <code>call = "glm.fit"</code>, specify <code>family</code> here. Also allows for other parameters to <code>lm.fit</code> and <code>glm.fit</code>.

Basic computing engine called by <code><a rd-options="" href="/link/estimate.parameters?package=sparsebnUtils&version=0.0.8" data-mini-rdoc="sparsebnUtils::estimate.parameters">estimate.parameters</a></code> for fitting parameters
in a Bayesian network. Should not be used directly unless by experienced users.

A set of tools for representing and estimating sparse Bayesian networks from continuous and discrete data, as described in Aragam, Gu, and Zhou (2017) <arXiv:1703.04025>.

Bryon Aragam

sparsebnUtils

Utilities for Learning Sparse Bayesian Networks

Jiaying Gu

fit_glm_dag function

<code><a rd-options='' href='edgeList'>edgeList</a></code> object.

Basic computing engine called by <code><a rd-options='' href='estimate.parameters'>estimate.parameters</a></code> for fitting parameters
in a Bayesian network. Should not be used directly unless by experienced users.

fit_glm_dag: Inference in Bayesian networks

Description

Usage

Arguments

Details