PRISM.forecast: 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.

Version: 0.2.1
Imports: xts, glmnet, zoo, stats, utils
Published: 2020-10-21
DOI: 10.32614/CRAN.package.PRISM.forecast
Author: Dingdong Yi [aut, cre], Samuel Kou [aut], Shaoyang Ning [aut]
Maintainer: Dingdong Yi <ryan.ddyi at>
License: GPL-2
NeedsCompilation: no
Materials: README
CRAN checks: PRISM.forecast results


Reference manual: PRISM.forecast.pdf


Package source: PRISM.forecast_0.2.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): PRISM.forecast_0.2.1.tgz, r-oldrel (arm64): PRISM.forecast_0.2.1.tgz, r-release (x86_64): PRISM.forecast_0.2.1.tgz, r-oldrel (x86_64): PRISM.forecast_0.2.1.tgz
Old sources: PRISM.forecast archive


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