# Bayesian Hierarchical Modelling of Spatio-Temporal Health Data

## Documentation for package ‘GHRmodel’ version 0.1.1

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

as_GHRformulas | Convert R-INLA Model Formulas into a GHRformulas Object
cov_add | Add Covariates to All Combinations
cov_interact | Generate Interaction Terms Between Covariates
cov_multi | Create Covariate Combinations Across Groups
cov_nl | Create Non-Linear Effects for INLA
cov_uni | Build Univariable Covariate Sets
cov_varying | Create Spatially or Temporally Varying Effects for INLA
crossbasis_inla | Create a Two-Dimensional INLA-compatible Cross-basis Matrix
crosspred_inla | Generate DLNM Predictions from 'GHRmodels' Objects
dengue_MS | Dengue cases from the "Mato Grosso do Sul" state of Brazil
dengue_SP | Dengue cases from the "São Paulo" state of Brazil
extract_names | Extract Covariate Names
fit_models | Fit Multiple INLA Models
get_covariates | Retrieve Covariates from a 'GHRmodels' Object as a List of Character Vectors
lag_cov | Generate lagged variables for one or more lags
map_MS | Administrative Map for Municipalities in the Mato Grosso do Sul
onebasis_inla | Create a One-Dimensional Basis for INLA
plot_coef_crosspred | Plot 'crosspred' Objects: Overall, Slices, or Heatmap
plot_coef_lin | Produce a Forest Plot of Linear Covariates from a 'GHRmodels' Object
plot_coef_nl | Plot Nonlinear Effects from a 'GHRmodels' Object
plot_coef_varying | Produce a Forest Plot for a Spatially or Temporally Varying Effects from a 'GHRmodels' object.
plot_fit | Plot Observed vs. Fitted Cases
plot_gof | Plot Models by Goodness-of-Fit
plot_ppd | Plot Posterior Predictive Densities Versus Observed Data
plot_re | Plot Random Effects
rank_models | Rank Models by Goodness-of-Fit
sample_ppd | Sample from the Posterior Predictive Distribution
stack_models | Merge GHRmodels
subset_models | Subset 'GHRmodels' Objects
write_inla_formulas | Generate INLA-compatible Model Formulas