Packaged: Mon Nov  7 16:45:10 2005; roger

Packaged: Wed Nov 16 14:08:38 2005; roger

Packaged: Sun Jan 29 12:11:08 2006; roger

Packaged: Sat Apr  8 10:54:04 2006; roger

Depends: R (>= 1.9), methods, stats, utils
Packaged: Mon Sep 11 18:03:30 2006; hornik

Packaged: Mon Sep 11 12:44:12 2006; roger

Packaged: Mon Jan  1 15:44:10 2007; roger

Packaged: Wed Jun 13 11:35:37 2007; roger

Packaged: Fri Oct 12 15:37:23 2007; roger

Packaged: Mon Jan 14 14:08:44 2008; roger

Packaged: Mon Mar 31 08:02:52 2008; roger

Packaged: Thu Jun  5 14:24:35 2008; roger

Packaged: Sun Jan 25 13:49:51 2009; roger

Author: Roger Koenker <rkoenker@uiuc.edu> and Pin Ng <Pin.Ng@NAU.EDU>
Packaged: Mon May 11 14:05:34 2009; roger

Depends: R (>= 2.4.1), methods, stats, utils

Description: Some basic linear algebra functionality for sparse matrices is
provided:  including Cholesky decomposition and backsolving as well as
standard R subsetting and Kronecker products.

person("Roger", "Koenker",  role = c("cre","aut"), email =  "rkoenker@uiuc.edu"),
person(c("Pin", "Tian"), "Ng",  role = c("ctb"),
comment = "Contributions to Sparse QR code", email =  "pin.ng@nau.edu"),
person("Yousef", "Saad",  role = c("ctb"),
Pin Tian Ng [ctb] (Contributions to Sparse QR code),
Yousef Saad [ctb] (author of sparskit2),

Title: Implementation of SparseMDC Algorithm
person("Martin", "Barron", email = "mbarron2@nd.edu",role = c("aut")),
person("Jun", "Li", email = "jun.li@nd.edu",role = c("aut","cre"))
Barron, M., and Li, J. (Not yet published). This algorithm clusters
samples from multiple ordered populations, links the clusters across the
conditions and identifies marker genes for these changes. The package was
designed for scRNA-Seq data but is also applicable to many other data
types, just replace cells with samples and genes with variables. The
package also contains functions for estimating the parameters for SparseMDC
as outlined in the paper. We recommend that users further select their
marker genes using the magnitude of the cluster centers.
Imports: stats, foreach, parallel, doParallel