Bayesian Hierarchical Modelling of Spatio-Temporal Health Data

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Documentation for package ‘GHRmodel’ version 0.1.0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

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