# saddle.distn.object

##### Saddlepoint Distribution Approximation Objects

Class of objects that result from calculating saddlepoint distribution
approximations by a call to `saddle.distn`

.

- Keywords
- methods, smooth, nonparametric

##### Generation

This class of objects is returned from calls to the function
`saddle.distn`

.

##### Methods

The class `"saddle.distn"`

has methods for the functions
`lines`

and `print`

.

##### Structure

Objects of class `"saddle.distn"`

are implemented as a list with
the following components.

- quantiles
A matrix with 2 columns. The first column contains the probabilities

`alpha`

and the second column contains the estimated quantiles of the distribution at those probabilities derived from the spline.- points
A matrix of evaluations of the saddlepoint approximation. The first column contains the values of

`t`

which were used, the second and third contain the density and cdf approximations at those points and the rest of the columns contain the solutions to the saddlepoint equations. When`type`

is`"simp"`

, there is only one of those. When`type`

is`"cond"`

there are`2*d-1`

where`d`

is the number of columns in`A`

or the output of`A(t,…{})`

. The first`d`

of these correspond to the numerator and the remainder correspond to the denominator.- distn
An object of class

`smooth.spline`

. This corresponds to the spline fitted to the saddlepoint cdf approximations in points in order to approximate the entire distribution. For the structure of the object see`smooth.spline`

.- call
The original call to

`saddle.distn`

which generated the object.- LR
A logical variable indicating whether the Lugananni-Rice approximations were used.

##### See Also

*Documentation reproduced from package boot, version 1.3-25, License: Unlimited*