Description Usage Arguments Value Author(s) See Also Examples
View source: R/distributions.R
Return a DISTRIBUTION
object that draw random numbers from a
multivariate normal distribution using the mvrnorm
function.
1 | new_MULTINORMAL(p_mu, p_sigma, p_dimnames, tol = 1e-06, empirical = FALSE)
|
p_mu |
a vector of means |
p_sigma |
a positive-definite symmetric matrix for the covariance matrix |
p_dimnames |
A character that represents the name of the dimension |
tol |
tolerance (relative to largest variance) for numerical lack of positive-definiteness in p_sigma. |
empirical |
logical. If true, mu and Sigma specify the empirical not population mean and covariance matrix. |
An object of class DISTRIBUTION
, MULTINORMAL
John J. Aponte
1 2 3 |
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