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:
GDILM.ME_1.2.1.tar.gz
GDILM.ME_1.2.1.zip(r-4.5)GDILM.ME_1.2.1.zip(r-4.4)GDILM.ME_1.2.1.zip(r-4.3)
GDILM.ME_1.2.1.tgz(r-4.4-any)GDILM.ME_1.2.1.tgz(r-4.3-any)
GDILM.ME_1.2.1.tar.gz(r-4.5-noble)GDILM.ME_1.2.1.tar.gz(r-4.4-noble)
GDILM.ME_1.2.1.tgz(r-4.4-emscripten)GDILM.ME_1.2.1.tgz(r-4.3-emscripten)
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')) |
- Areal_level_data - Areal level data
- Individual_level_data - Individual level data
- Regional_data - Regional data
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 months agofrom:337158706f. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Sep 08 2024 |
R-4.5-win | OK | Sep 08 2024 |
R-4.5-linux | OK | Sep 08 2024 |
R-4.4-win | OK | Sep 08 2024 |
R-4.4-mac | OK | Sep 08 2024 |
R-4.3-win | OK | Sep 08 2024 |
R-4.3-mac | OK | Sep 08 2024 |
Exports:EstimationEstimation_RealDataNaiveEstimationNaiveEstimation_RealData
Dependencies:batchmeanscorpcorGPArotationlatticeMASSmnormtmvtnormngspatialnlmenumDerivpsychRcppRcppArmadillo
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Areal level data | Areal_level_data |
Estimating parameters along with corresponding variances based on the proposed model. | Estimation |
Estimating parameters along with corresponding variances based on the proposed model with real data. | Estimation_RealData |
Individual level data | Individual_level_data |
Estimating parameters along with corresponding variances based on Naive model. | NaiveEstimation |
Estimating parameters along with corresponding variances based on Naive model with real data. | NaiveEstimation_RealData |
Regional data | Regional_data |