tnorm_lcv: Likelihood cross-validation for truncated normal kernel...
In mig: Multivariate Inverse Gaussian Distribution
tnorm_lcv R Documentation
Likelihood cross-validation for truncated normal kernel density estimation
Description
Likelihood cross-validation criterion function.
Usage
tnorm_lcv(x, Omega, beta)
Arguments
x
n by d matrix of observations
Omega
smoothing positive-definite matrix
beta
vector of constraints for the half-space
Value
LCV criterion value
mig documentation built on April 11, 2025, 5:45 p.m.
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| tnorm_lcv | R Documentation |
Likelihood cross-validation for truncated normal kernel density estimation
Description
Likelihood cross-validation criterion function.
Usage
tnorm_lcv(x, Omega, beta)
Arguments
x |
|
Omega |
smoothing positive-definite matrix |
beta |
vector of constraints for the half-space |
Value
LCV criterion value
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.
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