Anthology of Mixture Analysis Tools

---

Documentation for package ‘AntMAN’ version 1.1.0

• DESCRIPTION file.

Help Pages

AM_clustering	Return the clustering matrix
AM_coclustering	Return the co-clustering matrix
AM_demo_mvb_poi	Returns an example of 'AM_mcmc_fit' output produced by the multivariate bernoulli model
AM_demo_mvn_poi	Returns an example of 'AM_mcmc_fit' output produced by the multivariate gaussian model
AM_demo_uvn_poi	Returns an example of 'AM_mcmc_fit' output produced by the univariate Gaussian model
AM_demo_uvp_poi	Returns an example of 'AM_mcmc_fit' output produced by the univariate Poisson model
AM_emp_bayes_uninorm	compute the hyperparameters of an Normal-Inverse-Gamma distribution using an empirical Bayes approach
AM_extract	Extract values within a 'AM_mcmc_output' object
AM_find_gamma_Delta	Given that the prior on M is a dirac delta, find the gamma hyperparameter of the weights prior to match E(K)=K*, where K* is user-specified
AM_find_gamma_NegBin	Given that the prior on M is a Negative Binomial, find the gamma hyperparameter of the weights prior to match E(K)=K*, where K* is user-specified
AM_find_gamma_Pois	Given that the prior on M is a shifted Poisson, find the gamma hyperparameter of the weights prior to match E(K)=K^{*}, where K^{*} is user-specified
AM_mcmc_configuration	S3 class AM_mcmc_configuration
AM_mcmc_fit	Performs a Gibbs sampling
AM_mcmc_output	S3 class AM_mcmc_output
AM_mcmc_parameters	MCMC Parameters
AM_mcmc_refit	Performs a Gibbs sampling reusing previous configuration
AM_mix_components_prior	S3 class AM_mix_components_prior
AM_mix_components_prior_dirac	Generate a configuration object that contains a Point mass prior
AM_mix_components_prior_negbin	Generate a configuration object for a Shifted Negative Binomial prior on the number of mixture components
AM_mix_components_prior_pois	Generate a configuration object for a Poisson prior on the number of mixture components
AM_mix_hyperparams	S3 class AM_mix_hyperparams
AM_mix_hyperparams_multiber	multivariate Bernoulli mixture hyperparameters (Latent Class Analysis)
AM_mix_hyperparams_multinorm	multivariate Normal mixture hyperparameters
AM_mix_hyperparams_uninorm	univariate Normal mixture hyperparameters
AM_mix_hyperparams_unipois	univariate Poisson mixture hyperparameters
AM_mix_weights_prior	S3 class AM_mix_weights_prior
AM_mix_weights_prior_gamma	specify a prior on the hyperparameter gamma for the Dirichlet mixture weights prior
AM_plot_chaincor	Plot the Autocorrelation function
AM_plot_density	Plot the density of variables from 'AM_mcmc_output' object
AM_plot_mvb_cluster_frequency	Visualise the cluster frequency plot for the multivariate bernoulli model
AM_plot_pairs	Plot 'AM_mcmc_output' scatterplot matrix
AM_plot_pmf	Plot the probability mass function of variables from 'AM_mcmc_output' object
AM_plot_similarity_matrix	Plot the Similarity Matrix
AM_plot_traces	Plot traces of variables from an 'AM_mcmc_output' object
AM_plot_values	Plot posterior interval estimates obtained from MCMC draws
AM_prior	S3 class AM_prior
AM_prior_K_Delta	Computes the prior on the number of clusters
AM_prior_K_NegBin	computes the prior number of clusters
AM_prior_K_Pois	Computes the prior number of clusters
AM_salso	Sequentially Allocated Latent Structure Optimisation
AntMAN	AntMAN: A package for fitting finite Bayesian Mixture models with a random number of components
brain	Teen Brain Images from the National Institutes of Health, U.S.
carcinoma	Carcinoma dataset
galaxy	Galaxy velocities dataset
plot.AM_mcmc_output	plot AM_mcmc_output
plot.AM_prior	plot AM_prior
said	Usage frequency of the word "said" in the Brown corpus
summary.AM_mcmc_configuration	summary information of the AM_mcmc_configuration object
summary.AM_mcmc_output	summary information of the AM_mcmc_output object
summary.AM_mix_components_prior	summary information of the AM_mix_components_prior object
summary.AM_mix_hyperparams	summary information of the AM_mix_hyperparams object
summary.AM_mix_weights_prior	summary information of the AM_mix_weights_prior object
summary.AM_prior	summary information of the AM_prior object