Collapsed Variational Inference for Dirichlet Process (DP) Mixture Model

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Documentation for package ‘vimixr’ version 0.1.2

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
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cum_clustprop	cum_clustprop
cum_clustprop_var	cum_clustprop_var
cvi_npmm	Collapsed variational inference for non-parametric Bayesian mixture models
CVI_update_function	Update of the variational parameters
eBa0	Root for a0 hyper-parameter for Sparse DPMM
elbo_fixed_diagonal	ELBO calculating functions depending on type of model for covariance matrix
ELBO_function	General ELBO function
generate_log_prob	Generate random log Probability matrix if not provided
mat_mult	mat_mult
mat_mult_t	mat_mult_t
params_check	Function to check the list of type-specific arguments
plot.CVIoutput	S3 plotting function for 'CVIoutput'objects'
quadratic_form_diag	quadratic_form_diag
run_single	CVI implementation for one set of initial parameters
sweep_3D	sweep_3D
t_mat_mult	t_mat_mult