Description Usage Arguments Details Value See Also Examples
The log-likelihood function of the closed-skew normal distribution
1 |
x |
this is either a vector of length |
mu |
a numeric vector representing the location parameter of the
distribution; it must be of length |
sigma |
a positive definite matrix representing the scale parameter of the distribution; a vector of length 1 is also allowed |
gamma |
a matrix representing the skewness parameter of the distribution; a vector of length 1 is also allowed |
nu |
a numeric vector allows for closure with conditional densities;
it must be of length |
delta |
a positive definite matrix allows for closure with the marginal densities; a vector of length 1 is also allowed |
Function loglcsn makes use of pmvnorm and dmvnorm from package mvtnorm
loglcsn
returns a sum of log-transformed density values
1 2 3 4 5 6 7 |
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.