Association Among Disease Counts and Socio-Environmental Factors
Fit a Bayesian Negative Binomial Model
Fit a Bayesian Spatiotemporal Negative Binomial model
Prints out the summary of a DCMB object
Fit a Bayesian Spatiotemporal Zero Inflated Negative Binomial model
Fit a Bayesian Zero Inflated Negative Binomial Model
DIC for BSTNB or BNB fitted objects
DIC for BSTZINB fitted objects
convergence test for parameters in the fitted objects
Adjacency matrix for counties of one or many states in the United Stat...
Print function for DCMB class of objects
Bar plot for time-averaged log-q estimates over quantile-representativ...
Bar plot for time-averaged log-q estimates over top ranking counties (...
Summary Table for a fitted object
Generate a summary table of the outputs all different methods given th...
Summary function for objects of class DCMB
Time-trend curve over the study time domain for counties in the US
Draw spatial maps of various quantities over regions in the US
Estimation of association between disease or death counts (e.g. COVID-19) and socio-environmental risk factors using a zero-inflated Bayesian spatiotemporal model. Non-spatiotemporal models and/or models without zero-inflation are also included for comparison. Functions to produce corresponding maps are also included. See Chakraborty et al. (2022) <doi:10.1007/s13253-022-00487-1> for more details on the method.