| Name : R-tbma
| |
| Version : 0.1.0
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.3.7
| Date : 2024-06-14 11:46:31
|
| Group : Development/Libraries/Other
| Source RPM : R-tbma-0.1.0-lp153.3.7.src.rpm
|
| Size : 0.03 MB
| |
| Packager : (none)
| |
| Summary : Tree-Based Moving Average Forecasting Model
|
Description :
We provide a forecasting model for time series forecasting problems
with predictors. The offered model, which is based on a submitted
research and called tree-based moving average (TBMA), is based on the
integration of the moving average approach to tree-based ensemble
approach. The tree-based ensemble models can capture the complex
correlations between the predictors and response variable but lack in
modelling time series components. The integration of the moving average
approach to the tree-based ensemble approach helps the TBMA model to
handle both correlations and autocorrelations in time series data. This
package provides a tbma() forecasting function that utilizes the
ranger() function from the \'ranger\' package. With the help of the
ranger() function, various types of tree-based ensemble models, such as
extremely randomized trees and random forests, can be used in the TBMA
model.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
