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
LazyData: true
RoxygenNote: 7.1.1
URL: https://github.com/ryanddyi/prism
BugReports: https://github.com/ryanddyi/prism/issues
NeedsCompilation: no
Packaged: 2020-10-21 01:53:49 UTC; Administrator
Author: Dingdong Yi [aut, cre],
  Samuel Kou [aut],
  Shaoyang Ning [aut]
Repository: CRAN
Date/Publication: 2020-10-21 04:40:05 UTC
Built: R 4.6.0; ; 2026-04-26 09:35:14 UTC; unix
