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: | 0.1.2 |
| Depends: | R (≥ 3.1.0) |
| Imports: | stats, tidyr, tidytext, tm, wordcloud, dplyr, plyr, udpipe, RColorBrewer, ggplot2, glmnet, pdftools, parallel, doParallel, pracma, forcats, Matrix |
| Suggests: | knitr, rmarkdown, covr |
| Published: | 2019-09-20 |
| 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: | README NEWS |
| CRAN checks: | TextForecast results |
| Reference manual: | TextForecast.pdf |
| Vignettes: |
TextForecast R package documentation |
| Package source: | TextForecast_0.1.2.tar.gz |
| Windows binaries: | r-devel: TextForecast_0.1.2.zip, r-release: TextForecast_0.1.2.zip, r-oldrel: TextForecast_0.1.2.zip |
| macOS binaries: | r-release: TextForecast_0.1.2.tgz, r-oldrel: TextForecast_0.1.2.tgz |
| Old sources: | TextForecast archive |
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