dmvnrm_arma: Function to evaluate likelihood or log-likelihood of...
In nwakim/nwREM: Implementation of an L0 penalized mvGMM EM algorithm
Description
Usage
Arguments
Value
Description
Function to evaluate likelihood or log-likelihood of multivariate normal using armadillo
Usage
1
dmvnrm_arma(x, mean, sigma, logd = FALSE)
Arguments
x
(n x d) matrix of observed data
mean
Row vector (d) of means
sigma
(d x d) matrix of covariance
logd
boolean indicating log-likelihood (true) or likelihood (false) is returned
Value
a size n vector of log-likelihoods
nwakim/nwREM documentation built on May 22, 2019, 5:34 p.m.
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Description Usage Arguments Value
Description
Function to evaluate likelihood or log-likelihood of multivariate normal using armadillo
Usage
1 | dmvnrm_arma(x, mean, sigma, logd = FALSE)
|
Arguments
x |
(n x d) matrix of observed data |
mean |
Row vector (d) of means |
sigma |
(d x d) matrix of covariance |
logd |
boolean indicating log-likelihood (true) or likelihood (false) is returned |
Value
a size n vector of log-likelihoods
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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