RPA-package             RPA: probabilistic analysis of probe
                        reliability and gene expression
RPA.iteration           Estimating model parameters d and sigma2.
RPA.pointestimate       Computing point estimate for the model
                        parameters for all probe sets.
RPA.preprocess          Preprocess AffyBatch object for RPA.
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.rpa                Plot RPA results and probe-level data for a
                        specific probeset.
rpa                     RPA for preprocessing.
rpa-class               Class "rpa"
rpa.fit                 rpa.fit
rpa.fit-class           Class "rpa.fit"
rpa.list-class          Class "rpa.list"
rpa.plot                Plot RPA results and probe-level data for a
                        specified probeset.
rpa2eset                Coerce 'rpa' object into an 'ExpressionSet'
s2.update               Variance update.
sample.probeset         Toydata generator for probeset data.
