dmsen(x, mu = rep(0, d), Sigma, theta = Inf, formula = "direct")
Arguments
x
A data matrix with n rows and d columns, being n the number of data points and d the data the dimensionality.
mu
A vector of length d representing the mean value.
Sigma
A symmetric positive-definite matrix representing the scale matrix of the distribution.
theta
A number greater than 0 indicating the tailedness parameter.
formula
Method used to calculate the density: "direct", "indirect", "series".
Value
The value(s) of the density in x
References
Punzo A., and Bagnato L. (2020). Allometric analysis using the multivariate shifted exponential normal distribution.
Biometrical Journal, 62(6), 1525-1543.