StarshipClassDocs: Print (or summarise) the results of a starship estimation

In gld: Estimation and Use of the Generalised (Tukey) Lambda Distribution

Print (or summarise) the results of a starship estimation

Description

Print (or summarise) the results of a starship estimation of the parameters of the Generalised Lambda Distribution

Usage

## S3 method for class 'starship'
summary(object, ...)

## S3 method for class 'starship'
print(x, digits = max(3, getOption("digits") - 3), ...)

Arguments

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

Details

summary Gives the details of the starship.adaptivegrid and optim steps.

Author(s)

Robert King, [e-mail], https://github.com/newystats/

Darren Wraith

References

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.

https://github.com/newystats/gld/

See Also

starship, starship.adaptivegrid, starship.obj

Examples

data <- rgl(100,0,1,.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)

gld documentation built on Oct. 23, 2022, 5:05 p.m.