Function reference • VBphenoR

All functions
`logit_CAVI()`	Variational inference for Bayesian logistic regression using CAVI algorithm
`runModel()`	Run the Variational Bayes patient Phenotyping model
`scd_cohort`	Synthetic Sickle Cell Anaemia data
`vb_gmm_cavi()`	Main algorithm function for the VB CAVI GMM
`VB_GMM_ELBO()`	Calculate the Evidence Lower Bound (ELBO)
`VB_GMM_Expectation()`	Variational Bayes Expectation step
`VB_GMM_Init()`	Initialise the variational parameters and the hyper parameters
`VB_GMM_Maximisation()`	Variational Bayes Maximisation step

Reference