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DDHFm (version 1.0-3.1)

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

1.0-3.1

License

GPL (>= 2)

Maintainer

Efthimios Motakis

Last Published

October 29th, 2012

Functions in DDHFm (1.0-3.1)

isotone

Performs Isotone regression using "pool-adjacent-violators" algorithm
simdurbin2

Gene intensities simulator
cDNAdata

Samples from the cDNA data vector
hftrialdatagen

Gene intensities simulator and DDHFm tester
genesimulator

Gene means simulator
cdna

Example cDNA data
simdurbin

Gene intensities simulator
MOMENTS

Moment estimator
dhhrcomp

Simulated genes, apply DDHFm then compute and return variance, skewness and kurtosis values
which.min.diff

Find index where two vectors are closest
function.from.vector

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

Kurtosis Coefficient estimator
ddhft.np.2

Data-Driven Haar-Fisz transformation
ddhft.np.inv

Inverse Data-Driven Haar-Fisz transformation
SKEW

Skewness coefficient estimator
DDHFm

Data-driven Haar-Fisz for microarrays
dhhrss

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