README.md
In Mamie/PILAF: PILAF: Phylodynamics InfLuenzA Forecast
Overview
PILAF (Phylodynamics InfLuenzA Forecast) uses viral genetic data to forecast CDC influenza count time series. Viral sequence data is integrated into a dynamic model under the framework of phylodynamic inference. Integrated Nested Laplace Approximation (INLA) was used for computationally efficient inference.
Install
devtools::install_github("Mamie/PILAF")
Vignette
- simulation: An example showing how to simulate count time series and viral genealogy and perform forecast.
License
PILAF is licensed under the MIT License. See LICENSE for further details.
Mamie/PILAF documentation built on May 8, 2019, 8:53 p.m.
R Package Documentation
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Overview
PILAF (Phylodynamics InfLuenzA Forecast) uses viral genetic data to forecast CDC influenza count time series. Viral sequence data is integrated into a dynamic model under the framework of phylodynamic inference. Integrated Nested Laplace Approximation (INLA) was used for computationally efficient inference.
Install
devtools::install_github("Mamie/PILAF")
Vignette
- simulation: An example showing how to simulate count time series and viral genealogy and perform forecast.
License
PILAF is licensed under the MIT License. See LICENSE for further details.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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