Hervé Pagès [aut, cre],
  Patrick Aboyoun [aut],
  Robert Gentleman [aut],
  Saikat DebRoy [aut],
  Vince Carey [ctb],
  Nicolas Delhomme [ctb],
  Felix Ernst [ctb],
  Haleema Khan [ctb] (Converted 'matchprobes' vignette from Sweave to
    RMarkdown),
  Aidan Lakshman [ctb],
  Kieran O'Neill [ctb],
  Valerie Obenchain [ctb],
  Marcel Ramos [ctb],
  Albert Vill [ctb],
  Jen Wokaty [ctb] (Converted 'matchprobes' vignette from Sweave to
    RMarkdown),
  Erik Wright [ctb]

Co-Operation: Fast Covariance, Correlation, and Cosine
Similarity Operations

Fast implementations of the co-operations: covariance,
    correlation, and cosine similarity.  The implementations are
    fast and memory-efficient and their use is resolved
    automatically based on the input data, handled by R's S3
    methods.  Full descriptions of the algorithms and benchmarks
    are available in the package vignettes.

c(person("Drew", "Schmidt", role=c("aut", "cre"),
    email="wrathematics@gmail.com"), 
    person("Christian", "Heckendorf", role="ctb", comment="Caught some
    memory errors."))

Drew Schmidt [aut, cre],
  Christian Heckendorf [ctb] (Caught some memory errors.)

do also bump src/version.h, inst/include/Matrix/version.h

Sparse and Dense Matrix Classes and Methods

A rich hierarchy of sparse and dense matrix classes,
	including general, symmetric, triangular, and diagonal matrices
	with numeric, logical, or pattern entries.  Efficient methods for
	operating on such matrices, often wrapping the 'BLAS', 'LAPACK',
	and 'SuiteSparse' libraries.

c(person("Douglas", "Bates", role = "aut",
	         comment = c(ORCID = "0000-0001-8316-9503")),
	  person("Martin", "Maechler", role = c("aut", "cre"),
	         email = "mmaechler+Matrix@gmail.com",
	         comment = c(ORCID = "0000-0002-8685-9910")),
	  person("Mikael", "Jagan", role = "aut",
	         comment = c(ORCID = "0000-0002-3542-2938")),
	  person("Timothy A.", "Davis", role = "ctb",
	         comment = c(ORCID = "0000-0001-7614-6899",
	                     "SuiteSparse libraries, notably CHOLMOD and AMD",
	                     "collaborators listed in dir(pattern=\"^[A-Z]+[.]txt$\", full.names=TRUE, system.file(\"doc\", \"SuiteSparse\", package=\"Matrix\"))")),
	  person("Jens", "Oehlschlägel", role = "ctb",
	         comment = "initial nearPD()"),
	  person("Jason", "Riedy", role = "ctb",
	         comment = c(ORCID = "0000-0002-4345-4200",
	                     "GNU Octave's condest() and onenormest()",
	                     "Copyright: Regents of the University of California")),
	  person("R Core Team", role = "ctb",
	         comment = "base R's matrix implementation"))