regularisation: Perform regularisation on covariance matrix
In asmitapoddar/BayesSentinel: Bayes Classification of Spetrometric Data
Description
Usage
Arguments
Value
Author(s)
Description
Perform regularisation on covariance matrix
Usage
1
regularisation(fittedCov, lambdaS = 0.3, lambdaT = 0.3)
Arguments
fittedCov
fitted covariance matrix
lambdaS
regularisation parameter for spectra
lambdaT
regularisation parameter for time
Value
A list with regularised covariance matrix
Author(s)
Asmita Poddar & Florent Latimier
asmitapoddar/BayesSentinel documentation built on May 10, 2019, 1:18 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 Author(s)
Description
Perform regularisation on covariance matrix
Usage
1 | regularisation(fittedCov, lambdaS = 0.3, lambdaT = 0.3)
|
Arguments
fittedCov |
fitted covariance matrix |
lambdaS |
regularisation parameter for spectra |
lambdaT |
regularisation parameter for time |
Value
A list with regularised covariance matrix
Author(s)
Asmita Poddar & Florent Latimier
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.