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TextForecast  

Regression Analysis and Forecasting Using Textual Data from a Time-Varying Dictionary
View on CRAN: Click here


Download and install TextForecast package within the R console
Install from CRAN:
install.packages("TextForecast")

Install from Github:
library("remotes")
install_github("cran/TextForecast")

Install by package version:
library("remotes")
install_version("TextForecast", "0.1.3")



Attach the package and use:
library("TextForecast")
Maintained by
Lucas Godeiro
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-02-08
Latest Update: 2022-04-25
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.
How to cite:
Lucas Godeiro (2019). TextForecast: Regression Analysis and Forecasting Using Textual Data from a Time-Varying Dictionary. R package version 0.1.3, https://cran.r-project.org/web/packages/TextForecast. Accessed 27 Jun. 2026.
Previous versions and publish date:
0.1.0 (2019-02-08 10:53), 0.1.1 (2019-03-06 12:50), 0.1.2 (2019-09-20 20:20), 0.1.3 (2022-04-25 10:50)
Other packages that cited TextForecast R package
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Complete documentation for TextForecast
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