Fast Bayesian Probability Estimation for Multimodal Categorical
Data
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Documentation for package ‘MultiModalR’ version 1.0.0
Help Pages
| check_PACKS | Check and install required packages |
| create_MM_output | Create output data frame |
| create_multimodal_dummy | Create multimodal dummy dataset |
| fuss_PARALLEL_mcmc | Parallel Bayesian mixture modeling using Markov Chain Monte Carlo (MCMC) |
| get_MODES_enhanced | Density height-aware mode detection |
| group_MODES_enhanced | Density height-aware mode grouping |
| MM_MH | Fast MCMC for mixture models (Metropolis-Hastings-within-partial-Gibbs) |
| MM_MH_dirichlet | Dirichlet MCMC (identical interface to MM_MH) |
| multimodal_dummy | Multimodal Dummy Dataset |
| plot_VALIDATION | Plot validation of subgroup assignments (handles both balanced and imbalanced data) |