| BNB | Fit a Bayesian Negative Binomial Model |
| BSTNB | Fit a Bayesian Spatiotemporal Negative Binomial model |
| BSTZINB | Fit a Bayesian Spatiotemporal Zero Inflated Negative Binomial model |
| BZINB | Fit a Bayesian Zero Inflated Negative Binomial Model |
| compute_NB_DIC | DIC for BSTNB or BNB fitted objects |
| compute_ZINB_DIC | DIC for BSTZINB fitted objects |
| conv.test | convergence test for parameters in the fitted objects |
| county.adjacency | county.adjacency: A dataframe containing neighborhood information for counties in the US |
| get_adj_mat | Adjacency matrix for counties of one or many states in the United States |
| print.DCMB | Print function for DCMB class of objects |
| print.summ.DCMB | Prints out the summary of a DCMB object |
| qRankPar | Bar plot for time-averaged log-q estimates over quantile-representative counties (descending order) |
| qRankParTop | Bar plot for time-averaged log-q estimates over top ranking counties (descending order) |
| ResultTableSummary | Summary Table for a fitted object |
| ResultTableSummary2 | Generate a summary table of the outputs all different methods given the data |
| simdat | simdat: A simulated dataset containing response and covariates with region and time information |
| summary.DCMB | Summary function for objects of class DCMB |
| synth_dat_IA | synth_dat_IA: A dataset containing county-wise synthsized counts for the state of Iowa over 16 time points and a covariate used to generate the data |
| TimetrendCurve | Time-trend curve over the study time domain for counties in the US |
| USAcities | USAcities: A dataset containing state and county information for the cities in the United States |
| USDmapCount | Draw spatial maps of various quantities over regions in the US |