# StarshipClassDocs: Print (or summarise) the results of a starship estimation In gld: Estimation and Use of the Generalised (Tukey) Lambda Distribution

## Description

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

## Usage

 ```1 2 3 4 5``` ```## 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.

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.

`starship`, `starship.adaptivegrid`, `starship.obj`

## Examples

 ```1 2 3 4 5``` ```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) ```

### Example output

```Starship estimate, gld type: FMKL
lambda1   lambda2   lambda3   lambda4
-0.23755   1.22406   0.15687  -0.03838
Generalised Lambda Distribution FMKL type. Starship  estimate.

estimate, gld type: FMKL
lambda1  lambda2  lambda3  lambda4
-0.1584   1.2957   0.1000   0.0000
internal g-o-f measure at grid minimum: 0.3289457

Optim (final) estimates (starting from grid estimates):
Starship estimate, gld type: FMKL
lambda1   lambda2   lambda3   lambda4
-0.23755   1.22406   0.15687  -0.03838
internal g-o-f measure at optim minimum: 0.1785538
optim.details:
397       NA
Convergence: [1] 0
Message: NULL
```

gld documentation built on Jan. 9, 2020, 1:06 a.m.