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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:

Please use the canonical form https://CRAN.R-project.org/package=DClusterm to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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