abn3.1.1 package

Fit a given regression using INLA

Fit a given regression using INLA

Make BUGS model from fitted DAG with grouping

Build a cache of goodness of fit metrics for each node in a DAG, possi...

function to extract the mode from INLA output

Extract Standard Deviations from all Gaussian Nodes

abn Package

abn Version Information

Print AIC of objects of class abnFit

Bugs code for Bernoulli response

Print BIC of objects of class abnFit

Control the iterations in buildScoreCache

Bugs code for Categorical response

Documentation of C Functions

Simple check on the control parameters

Set of simple commonsense validity checks on the directed acyclic grap...

Set of simple commonsense validity checks on the data.df and data.dist...

Simple check on the control parameters

Simple check on the grouping variable

Set of simple checks on the given parent limits

Set of simple checks on the list given as parent limits

Print coefficients of objects of class abnFit

Compare two DAGs or EGs

Compare two DAGs or EGs

Make DAG of class "abnDag"

Discretization of a Possibly Continuous Data Frame of Random Variables...

Prints start up message

Computes an Empirical Estimation of the Entropy from a Table of Counts

Construct the essential graph

function to get marginal across an equal grid

Synthetic validation data set for use with abn library examples

Synthetic validation data set for use with abn library examples

Synthetic validation data set for use with abn library examples

Validation data set for use with abn library examples

Valdiation data set for use with abn library examples

Valdiation data set for use with abn library examples

Valdiation data set for use with abn library examples

Valdiation data set for use with abn library examples

expit of proportions

expit function

Factorial

Fast Factorial

Print family of objects of class abnFit

Find next X evaluation Point

Control the iterations in fitAbn

Fit an additive Bayesian network model

Regress each node on its parents.#'

Formula to adjacency matrix

Bugs code for Gaussian response

function to extract quantiles from INLA output

Create ordered vector with integers denoting the distribution

Internal function called by fitAbn.bayes.

function to extract marginals from INLA output

Compute standard information for a DAG.

Iterative Reweighed Least Square algorithm for Binomials

BR Iterative Reweighed Least Square algorithm for Binomials

Fast Iterative Reweighed Least Square algorithm for Binomials

Fast Br Iterative Reweighed Least Square algorithm for Binomials

Iterative Reweighed Least Square algorithm for Gaussians

Fast Iterative Reweighed Least Square algorithm for Gaussians

Iterative Reweighed Least Square algorithm for Poissons

Fast Iterative Reweighed Least Square algorithm for Poissons

Returns the strengths of the edge connections in a Bayesian Network le...

Logit of proportions

logit functions

Print logLik of objects of class abnFit

Make BUGS model from fitted DAG

Check for valid distribution

Compute the Markov blanket

Mutual Information

Empirical Estimation of the Entropy from a Table of Counts

Convert modes to fitAbn.mle$coefs structure

Find most probable DAG structure

Print number of observations of objects of class abnFit

Probability to odds

Odds Ratio from a matrix

Plots DAG from an object of class abnDag

Plot objects of class abnFit

Plot objects of class abnHeuristic

Plot objects of class abnHillClimber

Plot objects of class abnMostprobable

Plot an ABN graphic

Bugs code for Poisson response

Print objects of class abnCache

Print objects of class abnDag

Print objects of class abnFit

Print objects of class abnHeuristic

Print objects of class abnHillClimber

Print objects of class abnMostprobable

Rank of a matrix

Compute the score's contribution in a network of each observation.

A family of heuristic algorithms that aims at finding high scoring dir...

Find high scoring directed acyclic graphs using heuristic search.

Simulate data from a fitted additive Bayesian network.

Simulate a DAG with with arbitrary arcs density

Computes skewness of a distribution

Standard Area Under the Marginal

Recursive string splitting

Prints summary statistics from an object of class abnDag

Print summary of objects of class abnFit

Print summary of objects of class abnMostprobable

tidy up cache

Convert a DAG into graphviz format

Check for valid DAG of class abnDag