reshape_X: Reshape regressors X
In xavierkamp/tsForecastR: Forecasting with Traditional Time Series and Machine Learning Models
Description
Reshape regressors X
Usage
1
reshape_X(X, tsteps = 1, nb_features = 1)
Arguments
X
input matrix
tsteps
An integer, the number of time steps (i.e. lags) with explanatory power. These will be included as regressors.
nb_features
A positive integer, number of features/regressors
xavierkamp/tsForecastR documentation built on Feb. 1, 2020, 10:16 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description
Reshape regressors X
Usage
1 | reshape_X(X, tsteps = 1, nb_features = 1)
|
Arguments
X |
input matrix |
tsteps |
An integer, the number of time steps (i.e. lags) with explanatory power. These will be included as regressors. |
nb_features |
A positive integer, number of features/regressors |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.