kern: Calculate the R square value and mean square error as...
In bbemkr: Bayesian bandwidth estimation for multivariate kernel regression with Gaussian error
Description
Usage
Arguments
Value
Author(s)
See Also
Description
To determine the goodness of fit, we calculate the R square value for leave-one-out cross validated regressors.
To determine the googness of approximating regression function, we calculate the mean square error for leave-one-out cross validated regressors.
Usage
1
Arguments
h
Bandwidth chosen after MCMC
data_x
Regressors
data_y
Response
xm
Values of true regression function
Value
Values of R square and mean square error
Author(s)
Han Lin Shang
See Also
bbemkr documentation built on May 1, 2019, 10:53 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.
Description Usage Arguments Value Author(s) See Also
Description
To determine the goodness of fit, we calculate the R square value for leave-one-out cross validated regressors. To determine the googness of approximating regression function, we calculate the mean square error for leave-one-out cross validated regressors.
Usage
1 |
Arguments
h |
Bandwidth chosen after MCMC |
data_x |
Regressors |
data_y |
Response |
xm |
Values of true regression function |
Value
Values of R square and mean square error
Author(s)
Han Lin Shang
See Also
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.