dmvnorm: dmvnorm
In kDGLM: Bayesian Analysis of Dynamic Generalized Linear Models
dmvnorm R Documentation
dmvnorm
Description
Calculates the log density of a multivariate normal distribution with mean mu and covariance matrix Sigma.
Usage
dmvnorm(x, mu, Sigma)
Arguments
x
Vector: The value from to which calculate the density.
mu
Vector: The mean vector
Sigma
Matrix: The Covariance matrix.
kDGLM documentation built on April 4, 2025, 4:44 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.
| dmvnorm | R Documentation |
dmvnorm
Description
Calculates the log density of a multivariate normal distribution with mean mu and covariance matrix Sigma.
Usage
dmvnorm(x, mu, Sigma)
Arguments
x |
Vector: The value from to which calculate the density. |
mu |
Vector: The mean vector |
Sigma |
Matrix: The Covariance matrix. |
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.