Package: PRISM.forecast 0.2.1

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.

Authors:Dingdong Yi [aut, cre], Samuel Kou [aut], Shaoyang Ning [aut]

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PRISM.forecast.pdf |PRISM.forecast.html✨
PRISM.forecast/json (API)

# Install 'PRISM.forecast' in R:
install.packages('PRISM.forecast', repos = c('https://ryanddyi.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/ryanddyi/prism/issues

On CRAN:

2.60 score 4 stars 2 scripts 161 downloads 7 exports 12 dependencies

Last updated 4 years agofrom:dc897c5b94. Checks:OK: 1 WARNING: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 23 2024
R-4.5-winWARNINGNov 23 2024
R-4.5-linuxWARNINGNov 23 2024
R-4.4-winWARNINGNov 23 2024
R-4.4-macWARNINGNov 23 2024
R-4.3-winWARNINGNov 23 2024
R-4.3-macWARNINGNov 23 2024

Exports:back_testevaluation_tableload_5y_search_dataload_claim_dataprismprism_batchvar_generator

Dependencies:codetoolsforeachglmnetiteratorslatticeMatrixRcppRcppEigenshapesurvivalxtszoo