\title{Genotype Illumina Infinium II BeadChip data with CRLMM}
  This implementation of the CRLMM is especially designed for
  data from Illumina Infinium II BeadChips.

crlmmIllumina(RG, XY, stripNorm=TRUE, useTarget=TRUE,
      row.names=TRUE, col.names=TRUE,
      probs=c(1/3, 1/3, 1/3), DF=6, SNRMin=5,
      gender=NULL, seed=1, save.it=FALSE, load.it=FALSE,
      intensityFile, mixtureSampleSize=10^5,
      eps=0.1, verbose=TRUE, cdfName, sns, recallMin=10,
      recallRegMin=1000, returnParams=FALSE, badSNP=0.7)

  \item{RG}{\code{NChannelSet} containing R and G bead intensities}
  \item{XY}{\code{NChannelSet} containing X and Y bead intensities}
  \item{stripNorm}{'logical'.  Should the data be strip-level normalized?}
  \item{useTarget}{'logical' (only used when \code{stripNorm=TRUE}).
    Should the reference HapMap intensities be used in strip-level normalization?}
  \item{row.names}{'logical'. Use rownames - SNP names?}
  \item{col.names}{'logical'. Use colnames - Sample names?}
  \item{probs}{'numeric' vector with priors for AA, AB and BB.}
  \item{DF}{'integer' with number of degrees of freedom to use with t-distribution.}
  \item{SNRMin}{'numeric' scalar defining the minimum SNR used to filter
  out samples.}
  \item{gender}{'integer' vector, with same length as 'filenames',
    defining sex. (1 - male; 2 - female)}
  \item{seed}{'integer' scalar for random number generator (used to
    sample \code{mixtureSampleSize} SNPs for mixture model.}
  \item{save.it}{'logical'. Save preprocessed data?}
  \item{load.it}{'logical'. Load preprocessed data to speed up analysis?}
  \item{intensityFile}{'character' with filename of preprocessed data to
    be saved/loaded.}
  \item{mixtureSampleSize}{'integer'. The number of SNP's to be used
    when fitting the mixture model.}
  \item{eps}{Minimum change for mixture model.}
  \item{cdfName}{'character' defining the chip annotation (manifest) to use
    ('human370v1c', human550v3b', 'human650v3a', 'human1mv1c',
    'human370quadv3c', 'human610quadv1b', 'human660quadv1a' 'human1mduov3b')}
  \item{sns}{'character' vector with sample names to be used.}
  \item{recallMin}{'integer'. Minimum number of samples for recalibration.}
  \item{recallRegMin}{'integer'. Minimum number of SNP's for regression.}
  \item{returnParams}{'logical'. Return recalibrated parameters.}
  \item{badSNP}{'numeric'. Threshold to flag as bad SNP (affects batchQC)}
  A \code{SnpSet} object which contains
  \item{calls}{Genotype calls (1 - AA, 2 - AB, 3 - BB)}
  \item{callProbability}{confidence scores 'round(-1000*log2(1-p))'}
  in the \code{assayData} slot and
  \item{SNPQC}{SNP Quality Scores}
  \item{batchQC}{Batch Quality Scores}
  along with center and scale parameters when \code{returnParams=TRUE}
  in the \code{featureData} slot.

  Note: The user should specify either the \code{RG} or \code{XY}
  intensities, not both.  Alternatively if \code{crlmmIllumina} has been
  run already with \code{save.it=TRUE}, the preprocessed data can be
  loaded from file by specifying \code{load.it=TRUE} and
  \code{intensityFile} (\code{RG} or \code{XY} are not needed in this case).

  Carvalho B, Bengtsson H, Speed TP, Irizarry RA. Exploration,
  normalization, and genotype calls of high-density oligonucleotide SNP
  array data. Biostatistics. 2007 Apr;8(2):485-99. Epub 2006 Dec
  22. PMID: 17189563.

  Carvalho B, Louis TA, Irizarry RA. Describing Uncertainty in
  Genome-wide Genotype Calling. (in prep)

\author{Matt Ritchie}

## crlmmOut = crlmmIllumina(RG)