Description Objects from the Class Slots Author(s) References See Also Examples

This class represents estimates of mosaicsFit function.

Objects can be created by calls of the form `new("MosaicsFitEst", ...)`

.

`pi0`

:Object of class

`"numeric"`

, representing mixing proportion of background component.`a`

:Object of class

`"numeric"`

, representing parameter for background component.`betaEst`

:Object of class

`"numeric"`

, representing parameter for background component (coefficient estimates).`muEst`

:Object of class

`"numeric"`

, representing parameter for background component.`pNfit`

:Object of class

`"list"`

, representing background model fit.`b`

:Object of class

`"numeric"`

, representing parameter for one-signal-component model.`c`

:Object of class

`"numeric"`

, representing parameter for one-signal-component model.`p1`

:Object of class

`"numeric"`

, representing parameter for two-signal-component model (mixing proportion of signal components).`b1`

:Object of class

`"numeric"`

, representing parameter for two-signal-component model (the first signal component).`c1`

:Object of class

`"numeric"`

, representing parameter for two-signal-component model (the first signal component).`b2`

:Object of class

`"numeric"`

, representing parameter for two-signal-component model (the second signal component).`c2`

:Object of class

`"numeric"`

, representing parameter for two-signal-component model (the second signal component).`inputTrunc`

:Object of class

`"numeric"`

, representing parameter for input-only analysis (threshold for maximum tag count for matched control sample.`analysisType`

:Object of class

`"character"`

, representing type of data analysis.

Dongjun Chung, Pei Fen Kuan, Rene Welch, Sunduz Keles

Kuan, PF, D Chung, G Pan, JA Thomson, R Stewart, and S Keles (2011),
"A Statistical Framework for the Analysis of ChIP-Seq Data",
*Journal of the American Statistical Association*, Vol. 106, pp. 891-903.

Chung, D, Zhang Q, and Keles S (2014), "MOSAiCS-HMM: A model-based approach for detecting regions of histone modifications from ChIP-seq data", Datta S and Nettleton D (eds.), *Statistical Analysis of Next Generation Sequencing Data*, Springer.

1 | ```
showClass("MosaicsFitEst")
``` |

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