normsquare {Davies}R Documentation

Square normal distribution

Description

A suite of functions to analyze random variables (eg X^2, exp(X) with X~Norm(0,1); and GLD) in terms of the Davies distribution

Usage

normsquare(n)
do.normsquare(n,m)
do.many.normsquare(vector,times)
lognorm(n)
do.lognorm(n,m)
do.many.lognorm(vector,times)
gld.ozturk(n)
do.gld.ozturk(n,m)
do.many.gld.ozturk(vector,times)

Arguments

n size of random sample
m How often to carry out the resampling process
vector vector of "n"s
times how many resamplings to do

Details

lognorm gives p-values by parametrically resampling from a lognormal distribution normsquare gives p-values by parametrically resampling from a square normal distribution gld.ozturk gives p-values by parametrically resampling from a gld distribution do.lognorm is a wrapper for lognorm do.normsquare is a wrapper for normsquare do.gld.ozturk is a wrapper for gld.ozturk do.many.lognorm is a wrapper for do.lognorm used for table N do.many.normsquare is a wrapper for do.normsquare used for table N do.manygld.ozturk is a wrapper for do.gld.ozturk used for table N.

Note

do.many.normsquare is very slow for large values of n.

Author(s)

Robin K. S. Hankin

Examples

 do.many.normsquare(c(20,30),4)

#carries out resampling on a
#square-normal random dataset of size 20 and 30, four times.
#Takes a long time.


[Package Davies version 0.1-4 Index]