Recursive partitioning for classification, 
  regression and survival trees.  An implementation of most of the 
  functionality of the 1984 book by Breiman, Friedman, Olshen and Stone.

Recursive Partitioning and Regression Trees

R (>= 2.15.0), graphics, stats, grDevices

Terry Therneau [aut],
  Beth Atkinson [aut, cre],
  Brian Ripley [trl] (producer of the initial R port, maintainer
    1999-2017)

Sparse and Dense Matrix Classes and Methods

c(person("Douglas","Bates", role="aut")
 , person("Martin","Maechler", email="mmaechler+Matrix@gmail.com",
           role = c("aut","cre"))
 , person("Timothy A.", "Davis", role="ctb",
           comment = c("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'))"))
 , person("Jens", "Oehlschl"agel", role="ctb", comment="initial nearPD()")
 , person("Jason", "Riedy", role="ctb",
          comment = c("condest() and onenormest() for octave",
 	  	      "Copyright: Regents of the University of California"))
 , person("R Core Team", role = "ctb", comment="base R matrix implementation")
 )

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],
  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 Oehlschl"agel [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)