Penalized Regression with Inferred Seasonality Module - Forecasting Unemployment Initial Claims using 'Google Trends' Data

Implements Penalized Regression with Inferred Seasonality Module (PRISM) to generate forecast estimation of weekly unemployment initial claims using 'Google Trends' data. It includes required data and tools for backtesting the performance in 2007-2020.


This PRISM package aims to generate forecast estimation of weekly unemployment initial claim data. The methodology is based on the paper 'Forecasting unemployment using Internet search data via PRISM' (see reference).

**** Install ****
Installation through GitHub: "devtools::install_github('ryanddyi/prism')".

**** Contact ****
Dingdong Yi ([email protected])

Reference manual

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install.packages("PRISM.forecast")

0.2.1 by Dingdong Yi, 6 years ago


https://github.com/ryanddyi/prism


Report a bug at https://github.com/ryanddyi/prism/issues


Browse source code at https://github.com/cran/PRISM.forecast


Authors: Dingdong Yi [aut, cre] , Samuel Kou [aut] , Shaoyang Ning [aut]


Documentation:   PDF Manual  


GPL-2 license


Imports xts, glmnet, zoo, stats, utils


See at CRAN