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 |
| Citation: | DClusterm citation info |
| 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: DClusterm_1.0-1.tgz, r-oldrel: DClusterm_1.0-1.tgz |
| Old sources: | DClusterm archive |
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