Package: GDILM.ME 1.2.1

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.

Authors:Ruwani Herath [aut, cre], Leila Amiri [ctb], Mahmoud Torabi [ctb]

GDILM.ME_1.2.1.tar.gz
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GDILM.ME.pdf |GDILM.ME.html
GDILM.ME/json (API)

# Install 'GDILM.ME' in R:
install.packages('GDILM.ME', repos = c('https://ruwanirh.r-universe.dev', 'https://cloud.r-project.org'))

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This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

4 exports 0.09 score 13 dependencies 155 downloads

Last updated 2 months agofrom:337158706f. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 08 2024
R-4.5-winOKSep 08 2024
R-4.5-linuxOKSep 08 2024
R-4.4-winOKSep 08 2024
R-4.4-macOKSep 08 2024
R-4.3-winOKSep 08 2024
R-4.3-macOKSep 08 2024

Exports:EstimationEstimation_RealDataNaiveEstimationNaiveEstimation_RealData

Dependencies:batchmeanscorpcorGPArotationlatticeMASSmnormtmvtnormngspatialnlmenumDerivpsychRcppRcppArmadillo