\name{estimates} \alias{estimates} \alias{estimates,MosaicsFit-method} \title{ Extract estimates of the fitted MOSAiCS model } \description{ Extract estimates from \code{MosaicsFit} class object, which is a fitted MOSAiCS model. } \usage{ estimates( object, ... ) \S4method{estimates}{MosaicsFit}( object ) } %- maybe also 'usage' for other objects documented here. \arguments{ \item{object}{Object of class \code{MosaicsFit}, which represents fitted MOSAiCS model obtained using method \code{mosaicsFit}. } \item{...}{ Other parameters to be passed through to generic \code{estimates}.} } \value{ Returns a list with components: \item{pi0}{ Mixing proportion of background component and signal components. } \item{a}{ Parameter for background component. } \item{betaEst}{ Parameter for background component (coefficient estimates). } \item{muEst}{ Parameter for background component. } \item{b}{ Parameter for one-signal-componenet model. } \item{c}{ Parameter for one-signal-componenet model. } \item{p1}{ Parameter for two-signal-componenet model (mixing proportion of signal components). } \item{b1}{ Parameter for two-signal-componenet model (the first signal component). } \item{c1}{ Parameter for two-signal-componenet model (the first signal component). } \item{b2}{ Parameter for two-signal-componenet model (the second signal component). } \item{c2}{ Parameter for two-signal-componenet model (the second signal component). } \item{analysisType}{ Analysis type. Possible values are "OS" (one-sample analysis), "TS" (two-sample analysis using mappability and GC content), and "IO" (two-sample analysis without using mappability and GC content). } } \references{ Kuan, PF, D Chung, JA Thomson, R Stewart, and S Keles (2010), "A Statistical Framework for the Analysis of ChIP-Seq Data", submitted (\url{http://works.bepress.com/sunduz_keles/19/}). } \author{ Dongjun Chung, Pei Fen Kuan, Sunduz Keles } \seealso{ \code{\link{mosaicsFit}}, \code{\linkS4class{MosaicsFit}}. } \examples{ \dontrun{ library(mosaicsExample) data(exampleFit) estimates(exampleFit) } } \keyword{models} \keyword{methods}