BANFF: Bayesian Network Feature Finder

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Provides a full package of posterior inference, model comparison, and graphical illustration of model fitting. A parallel computing algorithm for the Markov chain Monte Carlo (MCMC) based posterior inference and an Expectation-Maximization (EM) based algorithm for posterior approximation are are developed, both of which greatly reduce the computational time for model inference.

Author
Zhou Lan, Yize Zhao, Jian Kang, Tianwei Yu
Date of publication
2016-07-12 08:16:44
Maintainer
Zhou Lan <zlan6@gatech.edu>
License
GPL-2
Version
1.1

View on CRAN

Man pages

DPM.HODC
Hierarchical Ordered Density Clustering (HODC) for Dirichlet...
EM.HODC
Hierarchical Ordered Density Clustering (HODC) for Finite...
Grid.Adjmatrix.Transfer
Connector for Transferring Grid Coordinates into Adjacency...
HyperPara.Select
Selecting Hyper Parameters by Bayesian Model Averaging
LikelihoodHistory
Calculating and Plot the history of log-Likelihood value
Networks.Fast
Bayesian Network Discovery using a Hybrid Fast Algorithm
Networks.STD
Bayesian Network Discovery using a Standard MCMC Algorithm
plot.Networks.Fast
Plotting Bayesian Network Discovery using a Hybrid Fast...
plot.Networks.STD
Plotting Bayesian Network Discovery using a Standard MCMC...
Plot.Subnetwork
Plotting the Network Feature Selected
Subnetwork.Select
Summarize the information of the sub networks selected by...
SummaryAccuracy
Summary of the Accuracy of Node and Network selection
summary.Networks.Fast
Summarizing Bayesian Network Discovery using a Hybrid Fast...
summary.Networks.STD
Summarizing Bayesian Network Discovery using a Standard MCMC...

Files in this package

BANFF
BANFF/NAMESPACE
BANFF/R
BANFF/R/HyperPara.Select.R
BANFF/R/HODCMclust.R
BANFF/R/Step1_2_Check.R
BANFF/R/Gibbsfortheta.R
BANFF/R/Step_2_Update_mu_var.R
BANFF/R/TPR.R
BANFF/R/summary.Networks.Fast.R
BANFF/R/Iteration3_Mclust.R
BANFF/R/EM.HODC.R
BANFF/R/Subnetwork.Select.R
BANFF/R/plot.Networks.Fast.R
BANFF/R/Networks.STD.R
BANFF/R/Iteration3_DPdensity.R
BANFF/R/Parameter_Define.R
BANFF/R/Transfer.R
BANFF/R/Step_3_switch_the_label.R
BANFF/R/Model.R
BANFF/R/Iteration3_DPdensity_Par.R
BANFF/R/Kmeans.R
BANFF/R/LikelihoodHistory.R
BANFF/R/Generating_Zi.R
BANFF/R/Mixture.R
BANFF/R/Networks.Fast.R
BANFF/R/Step1_1_Update_gi_zi.R
BANFF/R/Inte_Distance.R
BANFF/R/Plot.Subnetwork.R
BANFF/R/DPdensitycluster.R
BANFF/R/Grid.Adjmatrix.Transfer.R
BANFF/R/Innerfunc.R
BANFF/R/Pi_rho_gen.R
BANFF/R/plot.Networks.STD.R
BANFF/R/DPM.HODC.R
BANFF/R/biGaussian.R
BANFF/R/summary.Networks.STD.R
BANFF/R/SummaryAccuracy.R
BANFF/R/Initial_mu_var.R
BANFF/R/Pi_rho_selecting.R
BANFF/MD5
BANFF/DESCRIPTION
BANFF/man
BANFF/man/HyperPara.Select.Rd
BANFF/man/plot.Networks.Fast.Rd
BANFF/man/summary.Networks.STD.Rd
BANFF/man/SummaryAccuracy.Rd
BANFF/man/DPM.HODC.Rd
BANFF/man/Networks.Fast.Rd
BANFF/man/Grid.Adjmatrix.Transfer.Rd
BANFF/man/Plot.Subnetwork.Rd
BANFF/man/plot.Networks.STD.Rd
BANFF/man/LikelihoodHistory.Rd
BANFF/man/summary.Networks.Fast.Rd
BANFF/man/Subnetwork.Select.Rd
BANFF/man/EM.HODC.Rd
BANFF/man/Networks.STD.Rd