Variational Bayes for Latent Patient Phenotypes in EHR


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Documentation for package ‘VBphenoR’ version 1.0.0

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logit_CAVI Variational inference for Bayesian logistic regression using CAVI algorithm
run_Model 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