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CRAN: Package TextForecast

TextForecast: Regression Analysis and Forecasting Using Textual Data from a Time-Varying Dictionary

Provides functionalities based on the paper "Time Varying Dictionary and the Predictive Power of FED Minutes" (Lima, 2018) <doi:10.2139/ssrn.3312483>. It selects the most predictive terms, that we call time-varying dictionary using supervised machine learning techniques as lasso and elastic net.

Version: 0.1.3 Depends: R (≥ 3.1.0) Imports: forecast, stats, tidyr, tidytext, tm, wordcloud, dplyr, plyr, udpipe, RColorBrewer, ggplot2, glmnet, pdftools, parallel, doParallel, pracma, forcats, Matrix Suggests: knitr, rmarkdown, covr Published: 2022-04-25 DOI: 10.32614/CRAN.package.TextForecast Author: Luiz Renato Lima [aut], Lucas Godeiro [aut, cre] Maintainer: Lucas Godeiro <lucas.godeiro at hotmail.com> BugReports: https://github.com/lucasgodeiro/TextForecast/issues License: GPL-3 URL: https://github.com/lucasgodeiro/TextForecast NeedsCompilation: no CRAN checks: TextForecast results Documentation: Downloads: Linking:

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