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
DOI: 10.32614/CRAN.package.DClusterm
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


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


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


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