Package index • SpBGFM

Model fitting

spbgfm(): Sparse Bayesian group factor model for multiple count tables
spbgfm_control(): Hyperparameter and MCMC control settings for spbgfm

Posterior summaries

posterior_cor(): Posterior correlation matrix
posterior_Sigma(): Posterior covariance matrix
posterior_beta(): Posterior summaries of covariate effects
posterior_predict(): Posterior predictive counts for an unobserved sample
normalize_counts(): Rescale observed counts to a common sample size factor
choose_K(): Empirically choose the number of latent factors K

Data and simulation

simulate_spbgfm(): Simulate multi-domain count tables from Sp-BGFM
skin: Multi-domain chronic wound skin microbiome data