Fitting Shared Atoms Nested Models via Variational Bayes

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Documentation for package ‘SANvi’ version 0.1.0

• DESCRIPTION file.
• Package NEWS.

Help Pages

estimate_atoms_weights_vi	Estimate the Posterior Atoms and Weights of the Discrete Mixing Distributions
estimate_clustering_vi	Estimate Posterior Clustering Assignments
extract_best	Extract the best run from multiple trials
plot.multistart	Perform variational inference using multiple starting points.
plot.SANvb	Plotting the variational inference output
plot.vi_atoms_weights	Estimate the Posterior Atoms and Weights of the Discrete Mixing Distributions
plot.vi_clustering	Estimate Posterior Clustering Assignments
print.multistart	Perform variational inference using multiple starting points.
print.SANvb	Print variational inference output
print.vi_atoms_weights	Estimate the Posterior Atoms and Weights of the Discrete Mixing Distributions
print.vi_clustering	Estimate Posterior Clustering Assignments
variational_CAM	Mean Field Variational Bayes estimation of CAM
variational_fiSAN	Mean Field Variational Bayes estimation of fiSAN
variational_fSAN	Mean Field Variational Bayes estimation of fSAN
variational_multistart	Perform variational inference using multiple starting points.