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ForecastTB
View on CRAN: Click
here
Download and install ForecastTB package within the R console
Install from CRAN:
install.packages("ForecastTB")
Install from Github:
library("remotes")
install_github("cran/ForecastTB") Install by package version:
library("remotes")
install_version("ForecastTB", "1.0.1") Attach the package and use:
library("ForecastTB")
Maintained by
Neeraj Dhanraj Bokde
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-03-14
Latest Update: 2020-03-14
Description:
Provides a test bench for the comparison of forecasting
methods in uni-variate time series. Forecasting methods are compared using
different error metrics. Proposed forecasting methods and alternative error
metrics can be used. Detailed discussion is provided in the vignette.
How to cite:
Neeraj Dhanraj Bokde (2020). ForecastTB: Test Bench for the Comparison of Forecast Methods. R package version 1.0.1, https://cran.r-project.org/web/packages/ForecastTB. Accessed 07 Aug. 2026.
Previous versions and publish date:
1.0.1 (2020-03-14 16:40), (2026-07-09 08:04)
Other packages that cited ForecastTB R package
View ForecastTB citation profile
Other R packages that ForecastTB depends,
imports, suggests or enhances
Complete documentation for ForecastTB
Functions, R codes and Examples using
the ForecastTB R package
Some associated functions: append_ . choose_ . monte_carlo . plot.prediction_errors . plot_circle . prediction_errors .
Some associated R codes: Monte_Carlo.R . aastrategy2.R . append_.R . choose_.R . globalVariables.R . plotMethods.R . plot_circle.R . prediction_errors.R . Full ForecastTB package functions and examples
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