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
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
Materials:	NEWS
CRAN checks:	TextForecast results

Documentation:

Reference manual:	TextForecast.pdf
Vignettes:	TextForecast R package documentation

Downloads:

Package source:	TextForecast_0.1.3.tar.gz
Windows binaries:	r-devel: TextForecast_0.1.3.zip, r-release: TextForecast_0.1.3.zip, r-oldrel: TextForecast_0.1.3.zip
macOS binaries:	r-release (arm64): TextForecast_0.1.3.tgz, r-oldrel (arm64): TextForecast_0.1.3.tgz, r-release (x86_64): TextForecast_0.1.3.tgz, r-oldrel (x86_64): TextForecast_0.1.3.tgz
Old sources:	TextForecast archive

Linking:

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