print.starship {gld} | R Documentation |
Print (or summarise) the results of a starship
estimation
of the parameters of the Generalised Lambda Distribution
## S3 method for class 'starship': summary(object, ...) ## S3 method for class 'starship': print(x, digits = max(3, getOption("digits") - 3), ...)
x |
An object of class starship . |
object |
An object of class starship . |
digits |
minimal number of significant digits, see
print.default . |
... |
arguments passed to print |
summary
Gives the details of the starship.adaptivegrid
and optim
steps.
Robert King, robert.king@newcastle.edu.au, http://tolstoy.newcastle.edu.au/~rking/
Darren Wraith
Freimer, M., Mudholkar, G. S., Kollia, G. & Lin, C. T. (1988), A study of the generalized tukey lambda family, Communications in Statistics - Theory and Methods 17, 3547–3567.
Ramberg, J. S. & Schmeiser, B. W. (1974), An approximate method for generating asymmetric random variables, Communications of the ACM 17, 78–82.
King, R.A.R. & MacGillivray, H. L. (1999), A starship method for fitting the generalised lambda distributions, Australian and New Zealand Journal of Statistics 41, 353–374
Owen, D. B. (1988), The starship, Communications in Statistics - Computation and Simulation 17, 315–323.
http://tolstoy.newcastle.edu.au/~rking/gld/
starship
,
starship.adaptivegrid
,
starship.obj
data <- rgl(10,0,1,.2,.2) starship.result <- starship(data,optim.method="Nelder-Mead",initgrid=list(lcvect=(0:4)/10, ldvect=(0:4)/10)) print(starship.result) summary(starship.result,estimation.details=TRUE)