mv.dnorm: Function to evaluate likelihoods under multivariate normal //...
In nwakim/nwREM: Implementation of an L0 penalized mvGMM EM algorithm
Description
Usage
Arguments
Value
Description
Function to evaluate likelihoods under multivariate normal // HL
Usage
1
mv.dnorm(x, mus, covs)
Arguments
x
(n x d) matrix of observed data // HL
mus
d-dimensional vector of means // HL
covs
(d x d) matrix of covariance // HL
Value
a size n vector of log-likelihoods // HL
nwakim/nwREM documentation built on May 22, 2019, 5:34 p.m.
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Description Usage Arguments Value
Description
Function to evaluate likelihoods under multivariate normal // HL
Usage
1 | mv.dnorm(x, mus, covs)
|
Arguments
x |
(n x d) matrix of observed data // HL |
mus |
d-dimensional vector of means // HL |
covs |
(d x d) matrix of covariance // HL |
Value
a size n vector of log-likelihoods // HL
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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