Class "MixModelML"

Description

This class stores a mixture model fitted by a maximum likelihood approach.

Objects from the Class

Objects can be created by calls of the form new("MixModelML", ...). Usually, objects are created by mlMixModel.

Slots

convergence:

Object of class "list" storing information about the convergence of the EM algorithm.

mmData:

Object of class "numeric" storing the data.

configuration:

Object of class "list" storing configuration. See notes for details.

results:

Object of class "list" storing results. See notes for details.

Extends

Class "MixModel", directly.

Methods

convergence

signature(object = "MixModelML"): Access to the convergence information.

Note

In addition to the content described in MixModel, the following elements are present: Slot configuration:

1. convergenceA list storing the maximum number of allowed iterations. And delta log likelihood limit, that is interpreted as convergence, if the delta log likelihood falls below that limit.

Slot results is exactly like in MixModel. Slot convergence:

1. iterationsNumber of iterations ran.

2. deltaLogLikDelta of log likelihood observed in the last iteration.

3. logLikLog likelihood of the model fit.

Author(s)

Hans-Ulrich Klein (h.klein@uni-muenster.de)

See Also

mlMixModel MixModel

Examples

showClass("MixModelML")

Results

R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
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> library(epigenomix)
Loading required package: Biobase
Loading required package: BiocGenerics
Loading required package: parallel

Attaching package: 'BiocGenerics'

The following objects are masked from 'package:parallel':

    clusterApply, clusterApplyLB, clusterCall, clusterEvalQ,
    clusterExport, clusterMap, parApply, parCapply, parLapply,
    parLapplyLB, parRapply, parSapply, parSapplyLB

The following objects are masked from 'package:stats':

    IQR, mad, xtabs

The following objects are masked from 'package:base':

    Filter, Find, Map, Position, Reduce, anyDuplicated, append,
    as.data.frame, cbind, colnames, do.call, duplicated, eval, evalq,
    get, grep, grepl, intersect, is.unsorted, lapply, lengths, mapply,
    match, mget, order, paste, pmax, pmax.int, pmin, pmin.int, rank,
    rbind, rownames, sapply, setdiff, sort, table, tapply, union,
    unique, unsplit

Welcome to Bioconductor

    Vignettes contain introductory material; view with
    'browseVignettes()'. To cite Bioconductor, see
    'citation("Biobase")', and for packages 'citation("pkgname")'.

Loading required package: S4Vectors
Loading required package: stats4

Attaching package: 'S4Vectors'

The following objects are masked from 'package:base':

    colMeans, colSums, expand.grid, rowMeans, rowSums

Loading required package: IRanges
Loading required package: GenomicRanges
Loading required package: GenomeInfoDb
Loading required package: SummarizedExperiment
> png(filename="/home/ddbj/snapshot/RGM3/R_BC/result/epigenomix/MixModelML-class.Rd_%03d_medium.png", width=480, height=480)
> ### Name: MixModelML-class
> ### Title: Class '"MixModelML"'
> ### Aliases: MixModelML-class convergence convergence,MixModelML-method
> ### Keywords: classes
> 
> ### ** Examples
> 
> showClass("MixModelML")
Class "MixModelML" [package "epigenomix"]

Slots:
                                                              
Name:    convergence        mmData configuration       results
Class:          list       numeric          list          list

Extends: "MixModel"
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>