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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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=GDILM.ME 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.