nllikCalc: Negative Log-Likelihood
In dilernia/rccm: Implemention of Random Covariance Models
nllikCalc R Documentation
Negative Log-Likelihood
Description
This function calculates the negative log-likelihood for
selecting the optimal tuning parameters using cross-validation.
Usage
nllikCalc(omegaks, datf)
Arguments
omegaks
p x p x K array of K number of estimated subject-level precision matrices.
datf
List of K data matrices each of dimension n_k x p.
Value
Negative log-likelihood
dilernia/rccm documentation built on Sept. 25, 2022, 9:40 a.m.
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| nllikCalc | R Documentation |
Negative Log-Likelihood
Description
This function calculates the negative log-likelihood for selecting the optimal tuning parameters using cross-validation.
Usage
nllikCalc(omegaks, datf)
Arguments
omegaks |
p x p x K array of K number of estimated subject-level precision matrices. |
datf |
List of K data matrices each of dimension n_k x p. |
Value
Negative log-likelihood
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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