GDILM.ME: Spatial Modeling of Infectious Diseases with Co-Variate Error

Provides tools for simulating from spatial modeling of individual level of infectious disease transmission when co-variates measured with error, and carrying out infectious disease data analyses with the same models. The epidemic models considered are distance-based model within Susceptible-Infectious-Removed (SIR) compartmental frameworks.

Version: 1.2.1
Depends: R (≥ 2.10)
Imports: MASS, corpcor, mvtnorm, ngspatial, numDeriv, stats, psych
Published: 2024-07-09
DOI: 10.32614/CRAN.package.GDILM.ME
Author: Ruwani Herath [aut, cre], Leila Amiri [ctb], Mahmoud Torabi [ctb]
Maintainer: Ruwani Herath <ruwanirasanjalih at gmail.com>
License: MIT + file LICENSE
NeedsCompilation: no
CRAN checks: GDILM.ME results

Documentation:

Reference manual: GDILM.ME.pdf

Downloads:

Package source: GDILM.ME_1.2.1.tar.gz
Windows binaries: r-devel: GDILM.ME_1.2.1.zip, r-release: GDILM.ME_1.2.1.zip, r-oldrel: GDILM.ME_1.2.1.zip
macOS binaries: r-release (arm64): GDILM.ME_1.2.1.tgz, r-oldrel (arm64): GDILM.ME_1.2.1.tgz, r-release (x86_64): GDILM.ME_1.2.1.tgz, r-oldrel (x86_64): GDILM.ME_1.2.1.tgz

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