Model-Based Detection of Disease Clusters
Calls the function to obtain the cluster with the maximum log-likeliho...
Obtains the clusters with the maximum log-likelihood ratio or minimum ...
Computes the probability that a model parameter is <=k from inla margi...
Creates grid over the study area.
Detects clusters and computes their significance.
Extract indices of the areas in the clusters detected
Gets areas in a spatio-temporal cluster
Obtains the cluster with the maximum log-likelihood ratio or minimum D...
Constructs data frame with clusters in binary format.
Merges clusters so that they are identifed as levels of a factor.
Removes the overlapping clusters.
Constructs a variable that indicates the locations and times that pert...
Remove overlapping clusters
Model-based methods for the detection of disease clusters using GLMs, GLMMs and zero-inflated models. These methods are described in 'V. Gómez-Rubio et al.' (2019) <doi:10.18637/jss.v090.i14> and 'V. Gómez-Rubio et al.' (2018) <doi:10.1007/978-3-030-01584-8_1>.