dmvnorm: Computes the density of a multivariate normal distribution
In yuekai/UMichBDA: Data and helper functions for the Bayesian Data Analysis at the University of Michigan
Description
Usage
Arguments
Value
Description
Computes the density of a multivariate normal distribution
Usage
1
Arguments
x
vector or matrix of values for which the density is computed.
If x is a vector, it represents a single draw.
If x is a matrix, each row is taken to be a single draw.
mean
mean vector
sigma
covariance matrix
log
logical indicating whether to return on the log scale or not.
False by default.
Value
Densities of the draws x.
yuekai/UMichBDA documentation built on Oct. 25, 2020, 9:03 p.m.
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Description Usage Arguments Value
Description
Computes the density of a multivariate normal distribution
Usage
1 |
Arguments
x |
vector or matrix of values for which the density is computed.
If |
mean |
mean vector |
sigma |
covariance matrix |
log |
logical indicating whether to return on the log scale or not. False by default. |
Value
Densities of the draws x.
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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