DClusterm: Model-Based Detection of Disease 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>.

Version:	1.0-1
Depends:	R (≥ 2.10), parallel, sp, spacetime, DCluster
Imports:	methods, xts, lme4
Suggests:	INLA, pscl, RColorBrewer, gridExtra, latticeExtra
Published:	2020-02-25
Author:	Virgilio Gomez-Rubio, Paula Esther Moraga Serrano, Barry Rowlingson
Maintainer:	Virgilio Gomez-Rubio <virgilio.gomez at uclm.es>
License:	GPL-3
NeedsCompilation:	no
Additional_repositories:	https://inla.r-inla-download.org/R/stable/
Citation:	DClusterm citation info
In views:	Spatial
CRAN checks:	DClusterm results

Documentation:

Reference manual:	DClusterm.pdf
Vignettes:	Model-based detection of disease clusters

Downloads:

Package source:	DClusterm_1.0-1.tar.gz
Windows binaries:	r-devel: DClusterm_1.0-1.zip, r-release: DClusterm_1.0-1.zip, r-oldrel: DClusterm_1.0-1.zip
macOS binaries:	r-release (arm64): DClusterm_1.0-1.tgz, r-oldrel (arm64): DClusterm_1.0-1.tgz, r-release (x86_64): DClusterm_1.0-1.tgz, r-oldrel (x86_64): DClusterm_1.0-1.tgz
Old sources:	DClusterm archive

Linking:

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