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... |
AM_demo_mvn_poi | Returns an example of 'AM_mcmc_fit' output produced by the... |
AM_demo_uvn_poi | Returns an example of 'AM_mcmc_fit' output produced by the... |
AM_demo_uvp_poi | Returns an example of 'AM_mcmc_fit' output produced by the... |
AM_emp_bayes_uninorm | compute the hyperparameters of an Normal-Inverse-Gamma... |
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... |
AM_find_gamma_NegBin | Given that the prior on M is a Negative Binomial, find the... |
AM_find_gamma_Pois | Given that the prior on M is a shifted Poisson, find the... |
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... |
AM_mix_components_prior_negbin | Generate a configuration object for a Shifted Negative... |
AM_mix_components_prior_pois | Generate a configuration object for a Poisson prior on the... |
AM_mix_hyperparams | S3 class AM_mix_hyperparams |
AM_mix_hyperparams_multiber | multivariate Bernoulli mixture hyperparameters (Latent Class... |
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... |
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... |
AM_plot_pairs | Plot 'AM_mcmc_output' scatterplot matrix |
AM_plot_pmf | Plot the probability mass function of variables from... |
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 |
AM_sample_multibin | AM_sample_multibin |
AM_sample_multinorm | AM_sample_multinorm |
AM_sample_uninorm | AM_sample_uninorm |
AM_sample_unipois | AM_sample_unipois |
AntMAN | AntMAN: A package for fitting finite Bayesian Mixture models... |
brain | Teen Brain Images from the National Institutes of Health,... |
carcinoma | Carcinoma dataset |
galaxy | Galaxy velocities dataset |
IAM_compute_stirling_ricor_abs | Compute the logarithm of the absolute value of the... |
IAM_compute_stirling_ricor_log | Compute stirling ricor log |
IAM_mcmc_error | Internal function used to compute the MCMC Error as a batch... |
IAM_mcmc_neff | IAM_mcmc_neff MCMC Parameters |
IAM_VnkDelta | Compute the value V(n,k), needed to caclulate the eppf of a... |
IAM_VnkNegBin | Compute the value V(n,k), needed to caclulate the eppf of a... |
IAM_VnkPoisson | Compute the value V(n,k), needed to caclulate the eppf of a... |
list_values | Internal function that produces a string from a list of... |
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 |
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