R: Collapsed Variational Inference for Dirichlet Process (DP) Mixture Model

# Collapsed Variational Inference for Dirichlet Process (DP) Mixture Model

## Documentation for package ‘vimixr’ version 0.1.2

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

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