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: 1.0-0
Depends: R (≥ 2.10), parallel, sp, spacetime, DCluster
Imports: methods, xts, lme4, pscl, RColorBrewer, gridExtra, latticeExtra
Suggests: INLA
Published: 2019-08-21
Author: Virgilio Gomez-Rubio, Paula Esther Moraga Serrano, Barry Rowlingson
Maintainer: Virgilio Gomez-Rubio <virgilio.gomez at uclm.es>
License: GPL-3
NeedsCompilation: no
Citation: DClusterm citation info
CRAN checks: DClusterm results

Downloads:

Reference manual: DClusterm.pdf
Vignettes: Model-based detection of disease clusters
Package source: DClusterm_1.0-0.tar.gz
Windows binaries: r-devel: DClusterm_1.0-0.zip, r-release: DClusterm_1.0-0.zip, r-oldrel: DClusterm_1.0-0.zip
OS X binaries: r-release: DClusterm_1.0-0.tgz, r-oldrel: DClusterm_1.0-0.tgz
Old sources: DClusterm archive

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