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GDILM.ME (version 1.2.1)

Spatial Modeling of Infectious Diseases with Co-Variate Error

Description

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.

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Version

Install

install.packages('GDILM.ME')

Monthly Downloads

139

Version

1.2.1

License

MIT + file LICENSE

Maintainer

Ruwani Herath

Last Published

July 9th, 2024

Functions in GDILM.ME (1.2.1)

Individual_level_data

Individual level data
Estimation

Estimating parameters along with corresponding variances based on the proposed model.
Estimation_RealData

Estimating parameters along with corresponding variances based on the proposed model with real data.
NaiveEstimation

Estimating parameters along with corresponding variances based on Naive model.
NaiveEstimation_RealData

Estimating parameters along with corresponding variances based on Naive model with real data.
Areal_level_data

Areal level data
Regional_data

Regional data