studentFit(x, data, family = Student(eta = .25), subset, na.action, control)
model.frame
), used only if
x
is a formula. By default the variables are taken from environment(formula)
.eta = 0
allows to tackle the multivariate normal distribution).mvt.control
.'studentFit'
containing the following components:
studentFit
call that produced the object.Student
object used, with the estimated shape parameters (if requested).print
show the results of the fit.
Lange, K., Little, R.J.A., and Taylor, J.M.G. (1989). Robust statistical modeling using the t distribution. Journal of the American Statistical Association 84, 881-896. Osorio, F., and Galea, M. (2015). Statistical inference in multivariate analysis using the t-distribution. Unpublished manuscript.
cov
, cov.rob
, cov.trob
data(PFM)
fit <- studentFit(~ cuprum.D + habitat.D + planvital.D + provida.D, data = PFM,
family = Student(eta = 0.25))
fit
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