compute.residuals: Compute the Leave-One-Out error at all design points.
In peterrobertcurtis/SSM: Fit and Analyze Smooth Supersaturated Models
Description
Usage
Arguments
Value
Description
This function repeatedly fits the SSM to all but one held out point in turn
and computes the prediction error at the held out point. These errors are
collated into a vector indicating the Leave-One-Out error at each design
point.
Usage
1
compute.residuals(ssm)
Arguments
ssm
An SSM object that has valid entries for the slots
response, K, and design_model_matrix.
Value
A vector of Leave-One_Out errors.
peterrobertcurtis/SSM documentation built on May 25, 2019, 2:10 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 Usage Arguments Value
Description
This function repeatedly fits the SSM to all but one held out point in turn and computes the prediction error at the held out point. These errors are collated into a vector indicating the Leave-One-Out error at each design point.
Usage
1 | compute.residuals(ssm)
|
Arguments
ssm |
An SSM object that has valid entries for the slots
|
Value
A vector of Leave-One_Out errors.
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.