MosaicsFitEst-class {mosaics} | R Documentation

## Class "MosaicsFitEst"

### Description

This class represents estimates of mosaicsFit function.

### Objects from the Class

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

### Slots

`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.

### Author(s)

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

### References

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.

### See Also

`mosaicsFit`.

### Examples

    showClass("MosaicsFitEst")

[Package mosaics version 2.24.0 Index]