Infinite Mixtures of Infinite Factor Analysers and Related Models

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Documentation for package ‘IMIFA’ version 2.2.0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

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