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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 gmail.com>
BugReports: https://github.com/ryanddyi/prism/issues
License: GPL-2
URL: https://github.com/ryanddyi/prism
NeedsCompilation: no
Materials: README
CRAN checks: PRISM.forecast results

Documentation:

Reference manual: PRISM.forecast.pdf

Downloads:

Package source: PRISM.forecast_0.2.1.tar.gz
Windows binaries: r-devel: PRISM.forecast_0.2.1.zip, r-release: PRISM.forecast_0.2.1.zip, r-oldrel: PRISM.forecast_0.2.1.zip
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

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.