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DDHFm (version 1.1.4)

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

Description

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. Contains cDNA and shipping credit flow data.

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Version

Install

install.packages('DDHFm')

Monthly Downloads

432

Version

1.1.4

License

GPL-2

Maintainer

Guy Nason

Last Published

October 4th, 2024

Functions in DDHFm (1.1.4)

genesimulator

Gene means simulator
KURTOSIS

Kurtosis Coefficient estimator
isotone

Performs Isotone regression using "pool-adjacent-violators" algorithm
ddhft.np.2

Data-Driven Haar-Fisz transformation
simdurbin

Gene intensities simulator
hftrialdatagen

Gene intensities simulator and DDHFm tester
simdurbin2

Gene intensities simulator
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
dhhrss

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

Data-driven Haar-Fisz for microarrays
ShipCreditFlow

Example Shipping credit flow data
ddhft.np.inv

Inverse Data-Driven Haar-Fisz transformation
cdna

Example cDNA data
MOMENTS

Moment estimator
SKEW

Skewness coefficient estimator
cDNAdata

Samples from the cDNA data vector