RPA: Robust Probabilistic Averaging for probe-level analysis

Documentation for package ‘RPA’ version 1.10.0

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"