RPA: Robust Probabilistic Averaging for probe-level analysis


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Documentation for package ‘RPA’ version 1.10.0

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RPA-package RPA: probabilistic analysis of probe reliability and gene expression
estimate.affinities Probe affinity estimation
get.probe.noise.estimates Fetch probe-level noise estimates from an rpa object
hyperparameter.update Update hyperparameters.
online.quantile Quantile normalization for online preprocessing.
plot-method Class "rpa.list"
plot.rpa Plot RPA results and probe-level data for a specific probeset.
RPA RPA: probabilistic analysis of probe reliability and gene expression
rpa RPA for preprocessing.
rpa-class Class "rpa"
rpa.fit rpa.fit
rpa.fit-class Class "rpa.fit"
RPA.iteration Estimating model parameters d and sigma2.
rpa.list-class Class "rpa.list"
rpa.online RPA for preprocessing.
rpa.plot Plot RPA results and probe-level data for a specified probeset.
RPA.pointestimate Computing point estimate for the model parameters for all probe sets.
RPA.preprocess Preprocess AffyBatch object for RPA.
rpa2eset Coerce 'rpa' object into an 'ExpressionSet'
s2.update Variance update.
sample.probeset Toydata generator for probeset data.
show-method Class "rpa"
[-method Class "rpa"
[[-method Class "rpa"