NormalGamma: Normal-gamma convolution model

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The functions proposed in this package compute the density of the sum of a Gaussian and a gamma random variables, estimate the parameters and correct the noise effect in a gamma-signal and Gaussian-noise model. This package has been used to implement the background correction method for Illumina microarray data presented in Plancade S., Rozenholc Y. and Lund E. "Generalization of the normal-exponential model : exploration of a more accurate parameterization for the signal distribution on Illumina BeadArrays", BMC Bioinfo 2012, 13(329).

Author
S. Plancade and Y. Rozenholc
Date of publication
2013-10-16 16:46:36
Maintainer
Sandra Plancade <Sandra.Plancade@jouy.inra.fr>
License
GPL-2
Version
1.1

View on CRAN

Man pages

dnormgam
Normal-gamma density
Intensities
Regular and Negative probes from one Illumina microarray
NormalGamma-package
Background correction using the normal+gamma model
normgam.fit
Normal-gamma Maximum Likelihood Estimator
normgam.signal
Normal-gamma background correction

Files in this package

NormalGamma
NormalGamma/NAMESPACE
NormalGamma/data
NormalGamma/data/RegNegIntensities_Example.RData
NormalGamma/R
NormalGamma/R/Normgamma_fcts-package-updated.R
NormalGamma/MD5
NormalGamma/DESCRIPTION
NormalGamma/man
NormalGamma/man/normgam.fit.Rd
NormalGamma/man/dnormgam.Rd
NormalGamma/man/normgam.signal.Rd
NormalGamma/man/Intensities.Rd
NormalGamma/man/NormalGamma-package.Rd