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DDHFm (version 1.1.1)

Variance Stabilization by Data-Driven Haar-Fisz (for Microarrays)

Description

The package contains the normalizing and variance stabilizing Data-Driven Haar-Fisz algorithm. Also contains related algorithms for simulating from certain microarray gene intensity models and evaluation of certain transformations.

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Version

Install

install.packages('DDHFm')

Monthly Downloads

213

Version

1.1.1

License

GPL-2

Maintainer

Guy Nason

Last Published

October 31st, 2013

Functions in DDHFm (1.1.1)

dhhrss

Tabulates variance, skewness and kurtosis coefficients from the output of dhhrcomp

cDNAdata

Samples from the cDNA data vector

dhhrcomp

Simulated genes, apply DDHFm then compute and return variance, skewness and kurtosis values

DDHFm

Data-driven Haar-Fisz for microarrays

ddhft.np.2

Data-Driven Haar-Fisz transformation

hftrialdatagen

Gene intensities simulator and DDHFm tester

genesimulator

Gene means simulator

function.from.vector

Function applied for the computation of the Data-Driven Haar-Fisz transform

SKEW

Skewness coefficient estimator

simdurbin2

Gene intensities simulator

cdna

Example cDNA data

isotone

Performs Isotone regression using "pool-adjacent-violators" algorithm

simdurbin

Gene intensities simulator

KURTOSIS

Kurtosis Coefficient estimator

which.min.diff

Find index where two vectors are closest

ddhft.np.inv

Inverse Data-Driven Haar-Fisz transformation

MOMENTS

Moment estimator