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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 |
| Reference manual: | GDILM.ME.pdf |
| 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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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.