Roger Koenker <rkoenker@uiuc.edu> and Pin Ng <Pin.Ng@NAU.EDU>
Basic linear algebra for sparse matrices

GPL (version 2 or later)  See LICENSE for non-GPL info on cholesky.f.

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

c(
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"),
comment = "author of sparskit2"),
person("Ben", "Shaby", role = c("ctb"),
comment = "author of chol2csr"))
Roger Koenker [cre, aut],
Pin Tian Ng [ctb] (Contributions to Sparse QR code),
Yousef Saad [ctb] (author of sparskit2),
Ben Shaby [ctb] (author of chol2csr)

c(
person("Martin", "Barron", email = "mbarron2@nd.edu",role = c("aut")),
person("Jun", "Li", email = "jun.li@nd.edu",role = c("aut","cre"))
)
Implements the algorithm described in
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.

Multiple Systems Estimation for Sparse Capture Data
c(
person("Lax", "Chan", email = "lax.chan1@nottingham.ac.uk", role = c("aut","cre")),
person("Bernard", "Silverman", email = "mail@bernardsilverman.co.uk", role = c("aut")),
person("Kyle", "Vincent", email = "kyle.shane.vincent@gmail.com", role= c("aut")))
Lax Chan [aut, cre],
Bernard Silverman [aut],
Kyle Vincent [aut]
Implements the routines and algorithms developed and analysed in "Multiple systems estimation for Sparse Capture Data: Inferential Challenges when there are Non-Overlapping Lists" Chan, L, Silverman, B. W., Vincent, K (2019) <arXiv:1902.05156>. This package explicitly handles situations where there are pairs of lists which have no observed individuals in common.