Package: PRISM.forecast
Type: Package
Title: Penalized Regression with Inferred Seasonality Module -
        Forecasting Unemployment Initial Claims using 'Google Trends'
        Data
Version: 0.2.1
Authors@R: c(
	person("Dingdong", "Yi", email = "ryan.ddyi@gmail.com", role = c("aut", "cre")),
	person("Samuel", "Kou", email = "kou@stat.harvard.edu", role = c("aut")),
	person("Shaoyang", "Ning", email = "sn9@williams.edu", role = c("aut")))
Maintainer: Dingdong Yi <ryan.ddyi@gmail.com>
Description: 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.
License: GPL-2
Imports: xts, glmnet, zoo, stats, utils
Encoding: UTF-8
RoxygenNote: 6.0.1
URL: https://github.com/ryanddyi/prism
BugReports: https://github.com/ryanddyi/prism/issues
Repository: https://ryanddyi.r-universe.dev
Date/Publication: 2020-10-20 05:48:40 UTC
RemoteUrl: https://github.com/ryanddyi/prism
RemoteRef: HEAD
RemoteSha: dc897c5b94f88174e296ec0793110c808871e323
NeedsCompilation: no
Packaged: 2026-09-19 07:22:32 UTC; root
Author: Dingdong Yi [aut, cre],
  Samuel Kou [aut],
  Shaoyang Ning [aut]