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ngboostForecast  

Probabilistic Time Series Forecasting
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("ngboostForecast", "0.1.1")



Attach the package and use:
library("ngboostForecast")
Maintained by
Resul Akay
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-03-01
Latest Update: 2022-08-06
Description:
Probabilistic time series forecasting via Natural Gradient Boosting for Probabilistic Prediction.
How to cite:
Resul Akay (2022). ngboostForecast: Probabilistic Time Series Forecasting. R package version 0.1.1, https://cran.r-project.org/web/packages/ngboostForecast. Accessed 25 Jun. 2026.
Previous versions and publish date:
0.0.2 (2022-03-01 22:10), 0.1.0 (2022-05-03 10:10)
Other packages that cited ngboostForecast R package
View ngboostForecast citation profile
Other R packages that ngboostForecast depends, imports, suggests or enhances
Complete documentation for ngboostForecast
Functions, R codes and Examples using the ngboostForecast R package
Some associated functions: Dist . NGBforecast . NGBforecastCV . Scores . assignment_pipe . autolayer . autoplot . is_exists_conda . ngboostForecast . pipe . seatbelts . sklearner . 
Some associated R codes: ngbfor.R . ngbforcv.R . package.R . utils.R .  Full ngboostForecast package functions and examples
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