Package: TextForecast
Type: Package
Title: Regression Analysis and Forecasting Using Textual Data from a
        Time-Varying Dictionary
Version: 0.1.3
Authors@R: c(
    person("Luiz Renato", "Lima", email = "llima@utk.edu", role = "aut"),
    person("Lucas", "Godeiro", email = "lucas.godeiro@hotmail.com", role = c("aut","cre")))
Description: 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.     
Depends: R (>= 3.1.0)
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.2
Imports: forecast, stats, tidyr, tidytext, tm, wordcloud, dplyr, plyr,
        udpipe, RColorBrewer, ggplot2, glmnet, pdftools, parallel,
        doParallel, pracma, forcats, Matrix
URL: https://github.com/lucasgodeiro/TextForecast
BugReports: https://github.com/lucasgodeiro/TextForecast/issues
Suggests: knitr, rmarkdown, covr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-04-22 11:49:52 UTC; Lucas
Author: Luiz Renato Lima [aut],
  Lucas Godeiro [aut, cre]
Maintainer: Lucas Godeiro <lucas.godeiro@hotmail.com>
Repository: CRAN
Date/Publication: 2022-04-25 08:50:02 UTC
Built: R 4.5.2; ; 2025-11-01 03:03:35 UTC; windows
