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) . It selects the most predictive terms, that we call time-varying dictionary using supervised machine learning techniques as lasso and elastic net.


Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("TextForecast")

0.1.3 by Lucas Godeiro, 4 years ago


https://github.com/lucasgodeiro/TextForecast


Report a bug at https://github.com/lucasgodeiro/TextForecast/issues


Browse source code at https://github.com/cran/TextForecast


Authors: Luiz Renato Lima [aut] , Lucas Godeiro [aut, cre]


Documentation:   PDF Manual  


GPL-3 license


Imports forecast, stats, tidyr, tidytext, tm, wordcloud, dplyr, plyr, udpipe, RColorBrewer, ggplot2, glmnet, pdftools, parallel, doParallel, pracma, forcats, Matrix

Suggests knitr, rmarkdown, covr


See at CRAN