Multilevel Supervised Topic Models with Multiple Outcomes

Documentation for package ‘mlstm’ version 0.1.7

eLDA_pass_b_fast	One Gibbs sampling sweep for LDA (collapsed) using document–term list.
init_mod_from_count	Initialize LDA/STM state from a (d, v, c) sparse count matrix.
run_lda_gibbs	Collapsed LDA Gibbs sampling for sparse (d, v, c) triplet data.
run_mlstm_vi	Multi-level supervised topic model (MLSTM) via variational inference.
run_stm_vi	Supervised topic model (STM) variational inference with ELBO-based convergence.
set_threads	Set threading options for STM/MLSTM computations
stm_multi_hier_vi_parallel	Variational inference for multi-output supervised topic models with hierarchical prior.
stm_vi_parallel	Variational inference for supervised LDA (single continuous response).