preProcessX: Prepare data vector according to available information on...
In modehunt: Multiscale Analysis for Density Functions

Preprocesses the initial data vector X.raw according to whether the upper and/or lower endpoint of the support of f is known.

1	preProcessX(X.raw, lower = -Inf, upper = Inf)

`X.raw`	Vector of observations.
`lower`	Lower support point of f, if known.
`upper`	Upper support point of f, if known.

Depending whether lower and upper are known, the vector of raw observations X.raw is supplemented by lower and/or upper and finally sorted.

Sorted vector of (processed) observations.

This function is called by modeHunting, modeHuntingApprox, and modeHuntingBlock.

This function was derived from MatLab code provided on Lutz Duembgen's webpage,
http://www.staff.unibe.ch/duembgen.

modehunt documentation built on May 2, 2019, 3:31 a.m.

modehunt index

Package overview

Note that we can't provide technical support on individual packages. You should contact the package authors for that.

Description