codadiags: Markov chain Monte Carlo burn-in based on "bridge" statistics

CDF of max(x,1/x) (=cdf(x)-cdf(1)+cdf(1)-cdf(1/x)) where x is 'Bay' distributed

1	maxinv.bay.cdf(x)

`x`	value to test

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require(codadiags)
plot(null.lim.cdf("ratio_extremum.brownianbridge",forceUseECDF=TRUE),col='blue',xlim=c(0,10))
plot(Vectorize(maxinv.bay.cdf),col='green',add=TRUE,xlim=c(0,10))

IRSN/codadiags documentation built on May 8, 2019, 1:27 p.m.

IRSN/codadiags index

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IRSN/codadiags
Markov chain Monte Carlo burn-in based on "bridge" statistics

maxinv.bay.cdf: CDF of max(x,1/x) (=cdf(x)-cdf(1)+cdf(1)-cdf(1/x)) where x is...
In IRSN/codadiags: Markov chain Monte Carlo burn-in based on "bridge" statistics

Description

Usage

Arguments

Examples

Related to maxinv.bay.cdf in IRSN/codadiags...

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IRSN/codadiags Markov chain Monte Carlo burn-in based on "bridge" statistics

maxinv.bay.cdf: CDF of max(x,1/x) (=cdf(x)-cdf(1)+cdf(1)-cdf(1/x)) where x is... In IRSN/codadiags: Markov chain Monte Carlo burn-in based on "bridge" statistics

Description

Usage

Arguments

Examples

Related to maxinv.bay.cdf in IRSN/codadiags...

R Package Documentation

Browse R Packages

We want your feedback!

IRSN/codadiags
Markov chain Monte Carlo burn-in based on "bridge" statistics

maxinv.bay.cdf: CDF of max(x,1/x) (=cdf(x)-cdf(1)+cdf(1)-cdf(1/x)) where x is...
In IRSN/codadiags: Markov chain Monte Carlo burn-in based on "bridge" statistics