smooth_spline: Smoothing spline regression
In stfit: Spatio-Temporal Functional Imputation Tool
smooth_spline R Documentation
Smoothing spline regression
Description
Smoothing spline regression
Usage
smooth_spline(x, y, x.eval = x, minimum.num.obs = 4, ...)
Arguments
x
independent variable
y
response variable
x.eval
vector to predict on
minimum.num.obs
minimum number of observations needed to run the regression
...
other parameters to be passed to smooth.spline function
Value
predicted values at 'x.eval'
stfit documentation built on Oct. 18, 2022, 5:07 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.
| smooth_spline | R Documentation |
Smoothing spline regression
Description
Smoothing spline regression
Usage
smooth_spline(x, y, x.eval = x, minimum.num.obs = 4, ...)
Arguments
x |
independent variable |
y |
response variable |
x.eval |
vector to predict on |
minimum.num.obs |
minimum number of observations needed to run the regression |
... |
other parameters to be passed to |
Value
predicted values at 'x.eval'
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.