nealmon_gradient: Gradient function for normalized exponential Almon lag...
In mpiktas/midasr: Mixed Data Sampling Regression
nealmon_gradient R Documentation
Gradient function for normalized exponential Almon lag weights
Description
Gradient function for normalized exponential Almon lag weights
Usage
nealmon_gradient(p, d, m)
Arguments
p
hyperparameters for Almon lag
d
number of coefficients
m
the frequency ratio, currently ignored
Value
the gradient matrix
Author(s)
Vaidotas Zemlys
mpiktas/midasr documentation built on Aug. 24, 2022, 2:32 p.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.
| nealmon_gradient | R Documentation |
Gradient function for normalized exponential Almon lag weights
Description
Gradient function for normalized exponential Almon lag weights
Usage
nealmon_gradient(p, d, m)
Arguments
p |
hyperparameters for Almon lag |
d |
number of coefficients |
m |
the frequency ratio, currently ignored |
Value
the gradient matrix
Author(s)
Vaidotas Zemlys
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.