Package: RLMM
Version: 1.75.0
Date: 2005-09-02
Title: A Genotype Calling Algorithm for Affymetrix SNP Arrays
Author: Nusrat Rabbee <nrabbee@post.harvard.edu>, Gary Wong
        <wongg62@berkeley.edu>
Maintainer: Nusrat Rabbee <nrabbee@post.harvard.edu>
Description: A classification algorithm, based on a multi-chip,
        multi-SNP approach for Affymetrix SNP arrays. Using a large
        training sample where the genotype labels are known, this
        aglorithm will obtain more accurate classification results on
        new data. RLMM is based on a robust, linear model and uses the
        Mahalanobis distance for classification. The chip-to-chip
        non-biological variation is removed through normalization. This
        model-based algorithm captures the similarities across genotype
        groups and probes, as well as thousands other SNPs for accurate
        classification. NOTE: 100K-Xba only at for now.
License: LGPL (>= 2)
Depends: R (>= 2.1.0)
Imports: graphics, grDevices, MASS, stats, utils
SystemRequirements: Internal files Xba.CQV, Xba.regions (or other
        regions file)
URL: http://www.stat.berkeley.edu/users/nrabbee/RLMM
biocViews: Microarray, OneChannel, SNP, GeneticVariability
Repository: https://bioc.r-universe.dev
Date/Publication: 2026-04-28 12:31:25 UTC
RemoteUrl: https://github.com/bioc/RLMM
RemoteRef: HEAD
RemoteSha: 658fea24add2c568720466f52420eb3dc4944982
NeedsCompilation: no
Packaged: 2026-07-14 05:06:06 UTC; root