Infinite Mixtures of Infinite Factor Analysers and Related Models


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Documentation for package ‘IMIFA’ version 2.2.0

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IMIFA-package IMIFA: Infinite Mixtures of Infinite Factor Analysers and Related Models
bnpControl Control settings for the Bayesian Nonparametric priors for infinite mixture models (or shrinkage priors for overfitted mixtures)
coffee Chemical composition of Arabica and Robusta coffee samples
exp_ltrgamma Left Truncated Gamma Distributions
get_IMIFA_results Extract results, conduct posterior inference and compute performance metrics for MCMC samples of models from the IMIFA family
gumbel_max Simulate Cluster Labels from Unnormalised Log-Probabilities using the Gumbel-Max Trick
G_calibrate 1st & 2nd Moments of the Pitman-Yor / Dirichlet Processes
G_expected 1st & 2nd Moments of the Pitman-Yor / Dirichlet Processes
G_moments 1st & 2nd Moments of the Pitman-Yor / Dirichlet Processes
G_priorDensity Plot Pitman-Yor / Dirichlet Process Priors
G_variance 1st & 2nd Moments of the Pitman-Yor / Dirichlet Processes
heat_legend Add a colour key legend to heatmap plots
IMIFA IMIFA: Infinite Mixtures of Infinite Factor Analysers and Related Models
IMIFA_news Show the NEWS file
is.cols Check for Valid Colours
is.posi_def Check Positive-(Semi)definiteness of a matrix
Ledermann Ledermann Bound
ltrgamma Left Truncated Gamma Distributions
mat2cols Convert a numeric matrix to colours
mcmc_IMIFA Adaptive Gibbs Sampler for Nonparametric Model-based Clustering using models from the IMIFA family
mgpControl Control settings for the MGP prior and AGS for infinite factor models
MGP_check Check the validity of Multiplicative Gamma Process (MGP) hyperparameters
mixfaControl Control settings for the IMIFA family of factor analytic mixtures
olive Fatty acid composition of Italian olive oils
pareto_scale Pareto Scaling
PGMM_dfree Estimate the Number of Free Parameters in Finite Factor Analytic Mixture Models (PGMM)
plot.Results_IMIFA Plotting output and parameters of inferential interest for IMIFA and related models
plot_cols Plots a matrix of colours
post_conf_mat Posterior Confusion Matrix
print.IMIFA Adaptive Gibbs Sampler for Nonparametric Model-based Clustering using models from the IMIFA family
print.Results_IMIFA Extract results, conduct posterior inference and compute performance metrics for MCMC samples of models from the IMIFA family
Procrustes Procrustes Transformation
psi_hyper Find sensible inverse gamma hyperparameters for variance/uniqueness parameters
rDirichlet Simulate Mixing Proportions from a Dirichlet Distribution
rltrgamma Left Truncated Gamma Distributions
scores_MAP Decompose factor scores by cluster
shift_GA Moment Matching Parameters of Shifted Gamma Distributions
show_digit Show image of grayscale grid
show_IMIFA_digit Plot the posterior mean image
sim_IMIFA Simulate Data from a Mixture of Factor Analysers Structure
sim_IMIFA_data Simulate Data from a Mixture of Factor Analysers Structure
sim_IMIFA_model Simulate Data from a Mixture of Factor Analysers Structure
storeControl Set storage values for use with the IMIFA family of models
summary.IMIFA Adaptive Gibbs Sampler for Nonparametric Model-based Clustering using models from the IMIFA family
summary.Results_IMIFA Extract results, conduct posterior inference and compute performance metrics for MCMC samples of models from the IMIFA family
USPSdigits USPS handwritten digits
Zsimilarity Summarise MCMC samples of clustering labels with a similarity matrix and find the 'average' clustering