# fun.minmax.check.gld: Check whether the specified GLDs cover the minimum and the... In GLDEX: Fitting Single and Mixture of Generalised Lambda Distributions (RS and FMKL) using Various Methods

## Description

This function checks the lowest and highest quantiles of the specified GLDs against the specified dataset

## Usage

 ```1 2``` ```fun.minmax.check.gld(data, lambdas, param, lessequalmin = 1, greaterequalmax = 1) ```

## Arguments

 `data` A vector of numerical dataset `lambdas` A matrix of four columns representing lambda 1 to lambda 4 of the GLD `param` Can be "rs", "fkml" or "fmkl" `lessequalmin` Can be 0 or 1 `greaterequalmax` Can be 0 or 1

## Details

lessequalmin==1 means the lowest value of GLD <= minimum value of data lessequalmin==0 means the lowest value of GLD < minimum value of data greaterequalmin==1 means the highest value of GLD >= maximum value of data greaterequalmin==0 means the highest value of GLD > maximum value of data

## Value

A vector of logical values indicating whether the specified data the specified GLDs cover the minimum and the maximum values in a dataset

Steve Su

## Examples

 ```1 2``` ```fun.minmax.check.gld(runif(100,.9,1),matrix(1:12,ncol=4),param="rs",0,0) fun.minmax.check.gld(runif(100,.98,1),matrix(1:12,ncol=4),param="fkml",1,1) ```

GLDEX documentation built on May 29, 2017, 3:42 p.m.