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caretForecast
View on CRAN: Click
here
Download and install caretForecast package within the R console
Install from CRAN:
install.packages("caretForecast")
Install from Github:
library("remotes")
install_github("cran/caretForecast") Install by package version:
library("remotes")
install_version("caretForecast", "0.1.1") Attach the package and use:
library("caretForecast")
Maintained by
Resul Akay
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-01-27
Latest Update: 2022-10-24
Description:
Conformal time series forecasting using the caret infrastructure.
It provides access to state-of-the-art machine learning models for forecasting
applications. The hyperparameter of each model is selected based on time
series cross-validation, and forecasting is done recursively.
How to cite:
Resul Akay (2022). caretForecast: Conformal Time Series Forecasting Using State of Art Machine Learning Algorithms. R package version 0.1.1, https://cran.r-project.org/web/packages/caretForecast. Accessed 27 Jun. 2026.
Previous versions and publish date:
Other packages that cited caretForecast R package
View caretForecast citation profile
Other R packages that caretForecast depends,
imports, suggests or enhances
Complete documentation for caretForecast
Functions, R codes and Examples using
the caretForecast R package
Some associated functions: ARml . conformalRegressor . forecast.ARml . get_var_imp . predict.conformalRegressor . reexports . retail . retail_wide . split_ts . suggested_methods .
Some associated R codes: arml.R . fit_conformal_reg.R . forecast.R . predict_conformal.R . utils.R . Full caretForecast package functions and examples
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