Tools to enable flexible and efficient hierarchical nowcasting of epidemiological time-series using a semi-mechanistic Bayesian model with support for a range of reporting and generative processes.
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Updated
Jun 24, 2024 - R
Tools to enable flexible and efficient hierarchical nowcasting of epidemiological time-series using a semi-mechanistic Bayesian model with support for a range of reporting and generative processes.
Dynamic factor models (DFM) in R. Easy estimation and new data contributions to changes in prediction.
MF-BAVART model introduced in "Nowcasting in a Pandemic using Non-Parametric Mixed Frequency VARs"
R wrapper for nowcast_lstm Python library. Long short-term memory neural networks for economic nowcasting.
Bayesian Nowcasting with application to COVID-19 fatalities in Sweden
R scripts for the COVID-19 Hospitalization Nowcast Hub
Evaluating Semi-Parametric Nowcasts of COVID-19 Hospital Admissions in Germany
Create dynamic factor models in R with the dfms package
Micro-simulación de las rentas individuales a partir de los datos de la EU-SILC (ECV) y la LFS (EPA)
Extension of the U.S. Weekly Economic Index (WEI)
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