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 2007-2016.

Version: 0.1.6
Imports: xts, glmnet, zoo, stats, utils
Published: 2018-07-01
Author: Dingdong Yi [aut, cre], Samuel Kou [aut]
Maintainer: Dingdong Yi <ddyi at fas.harvard.edu>
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

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Reference manual: PRISM.forecast.pdf
Package source: PRISM.forecast_0.1.6.tar.gz
Windows binaries: r-devel: PRISM.forecast_0.1.6.zip, r-release: PRISM.forecast_0.1.6.zip, r-oldrel: PRISM.forecast_0.1.6.zip
OS X binaries: r-release: PRISM.forecast_0.1.6.tgz, r-oldrel: PRISM.forecast_0.1.6.tgz

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