CRAN/E | caretForecast

caretForecast

Conformal Time Series Forecasting Using State of Art Machine Learning Algorithms

Installation

About

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.

github.com/Akai01/caretForecast
Bug report File report

Key Metrics

Version 0.1.1
R ≥ 3.6
Published 2022-10-24 550 days ago
Needs compilation? no
License GPL (≥ 3)
CRAN checks caretForecast results

Downloads

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Last 7 days 75 -20%
Last 30 days 375 -6%
Last 90 days 1.110 -15%
Last 365 days 4.795 -9%

Maintainer

Maintainer

Resul Akay

resulakay1@gmail.com

Authors

Resul Akay

aut / cre

Material

README
NEWS
Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

caretForecast archive

Depends

R ≥ 3.6

Imports

forecast ≥ 8.15
caret ≥ 6.0.88
magrittr ≥ 2.0.1
methods ≥ 4.1.1
dplyr ≥ 1.0.9
generics ≥ 0.1.3

Suggests

Cubist ≥ 0.3.0
knitr ≥ 1.29
testthat ≥ 2.3.2

Reverse Imports

OptiSembleForecasting