RPA-package             RPA: probabilistic analysis of probe
                        reliability and gene expression
RPA.iteration           Estimating model parameters d and tau2.
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
estimate.hyperparameters
                        Hyperparameter estimation
get.batches             Split data into batches
get.probe.noise.estimates
                        Fetch probe-level noise estimates from an rpa
                        object
hyperparameter.update   Update hyperparameters.
online.quantile         Quantile normalization tools for online
                        preprocessing.
plot.rpa                Plot RPA results and probe-level data for a
                        specific probeset.
probe.performance       probe.performance
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.online              RPA-online for preprocessing very large
                        expression data sets.
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.
summarize.batches       Summarize batches
