Usage
ssmn(y, X, family="sn", method="EM", error = 1e-6, maxit=1000, show.envelope=FALSE)
envel(y,X, theta, family="sn", alpha=0.05)
Arguments
y
the response vector of length $n$ where $n$ is the total of observations.
X
the matrix of explanatory variables of dimension $n x (p+1)$ where $n$ is the total of observations and p is the number of variables.
family
its defines the distribution to ber used: sn, stn, ssl, scn or sep.
method
the method to calculate the maximum likelihood estimates: EM algorithm or direct maximum likelihood estimates via Newton-Raphson.
maxit
Maximum number of iterations.
error
accuracy the convergence maximum error.
show.envelope
TRUE or FALSE. Indicates if envelope graph should be built for the fitted model. Default is FALSE.
alpha
1 - alpha is level of confidence.
theta
Estimated parameter vector