fitmixst: Fitted mixed model

In fitmixst4: Fitting mixture of skew t distribution

Description

Fitted mixed model

Usage

fitmixst(y, g, rel.error = 1e-3, itermax=1000, method = "kmeans", para = NULL, verbose = F, mcmc = F, useR = F, ...)

Arguments

y	a multidimensional input vector.
g	the number of groups.
rel.error	the desired relative error. (default 1e-3)
itermax	the maximum of iterations. (default 1000)
method	of finding initial values. (default "kmeans")
para	the initial input parameters. Note: if you choose input parameters the kmeans method is disabled. para a list of the input parameters. para = list (pro, mu, Sigma, delta, nu).
verbose	debug mode.
mcmc	calculates moments moments with mcmc in R
useR	use algorithm programmed in R (default is C++ Algorithm).
R2	use alternative R code.
...	other paramters.

Value

an S4 object of the class fitmixout.

Examples

pro = 1; mu=1; Sigma=3; delta=2; nu=10;
para = list(pro=pro,mu=mu,Sigma=Sigma,delta=delta,nu=nu)
y <- rmixst(100,para)
out <- fitmixst(y,g=1,method="kmeans")

fitmixst4 documentation built on Sept. 29, 2019, 3 p.m.