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
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.html , 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:

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