A rich hierarchy of matrix classes, including triangular,
   symmetric, and diagonal matrices, both dense and sparse and with
   pattern, logical and numeric entries.   Numerous methods for and
   operations on these matrices, using 'LAPACK' and 'SuiteSparse' libraries.

methods, graphics, grid, stats, utils, lattice

not possible, since we use data/*.R *and* our classes

Douglas Bates [aut],
  Martin Maechler [aut, cre] (<https://orcid.org/0000-0002-8685-9910>),
  Timothy A. Davis [ctb] (SuiteSparse and 'cs' C libraries, notably
    CHOLMOD, AMD; collaborators listed in dir(pattern =
    '^[A-Z]+[.]txt$', full.names=TRUE, system.file('doc',
    'SuiteSparse', package='Matrix'))),
  Jens Oehlschlägel [ctb] (initial nearPD()),
  Jason Riedy [ctb] (condest() and onenormest() for octave, Copyright:
    Regents of the University of California),
  R Core Team [ctb] (base R matrix implementation)

Dirk Eddelbuettel, Romain Francois, JJ Allaire, Kevin Ushey, Qiang Kou,
 Nathan Russell, Douglas Bates and John Chambers

The 'Rcpp' package provides R functions as well as C++ classes which
 offer a seamless integration of R and C++. Many R data types and objects can be
 mapped back and forth to C++ equivalents which facilitates both writing of new
 code as well as easier integration of third-party libraries. Documentation
 about 'Rcpp' is provided by several vignettes included in this package, via the
 'Rcpp Gallery' site at <http://gallery.rcpp.org>, the paper by Eddelbuettel and
 Francois (2011, <doi:10.18637/jss.v040.i08>), the book by Eddelbuettel (2013,
 <doi:10.1007/978-1-4614-6868-4>) and the paper by Eddelbuettel and Balamuta (2018,
 <doi:10.1080/00031305.2017.1375990>); see 'citation("Rcpp")' for details.

RUnit, inline, rbenchmark, knitr, rmarkdown, pinp, pkgKitten
(>= 0.1.2)

Please send questions and comments regarding Rcpp to
rcpp-devel@lists.r-forge.r-project.org

Collection of Common Astronomical Conversion Routines and
Functions

Contains a number of common astronomy conversion routines, particularly the HMS and degrees schemes, which can be fiddly to convert between on mass due to the textural nature of the former. It allows users to coordinate match datasets quickly. It also contains functions for various cosmological calculations.