Title: Lazy Learning for Local Regression
Author: Mauro Birattari <mbiro@ulb.ac.be> and
Description: By combining constant, linear, and quadratic local models,
lazy estimates the value of an unknown multivariate function on
the basis of a set of possibly noisy samples of the function itself.
This implementation of lazy learning automatically adjusts the
bandwidth on a query-by-query basis through a leave-one-out

Author: Mauro Birattari <mbiro@ulb.ac.be> and Gianluca Bontempi
the basis of a set of possibly noisy samples of the function
itself.  This implementation of lazy learning automatically
adjusts the bandwidth on a query-by-query basis through a

Author: Mauro Birattari <mauro.birattari@ulb.be> and Gianluca Bontempi

Description: Supplies a LazyData facility for packages which have data
sets but do not provide LazyData.  A single function is is
included, requireData, which is a drop-in replacement for
base::require, but carrying the additional functionality.

sets but do not provide LazyData.  A single function is
is included, requireData, which is a drop-in replacement for
base::require, but carrying the additional
functionality. By default, it suppresses package
startup messages as well.  See argument 'reallyQuitely'.

sets but do not provide LazyData: true.  A single function is

Description: Provides a new type of numbers called the lazy numbers.
Arithmetic on lazy numbers is exact, contrary to ordinary
floating-point arithmetic. The lazy numbers are implemented in 'C++'
with the 'CGAL' library (<https://www.cgal.org/>).
Imports: methods, Rcpp (>= 1.0.9), stats
Collate: 'classes.R' 'Arith.R' 'Compare.R' 'Concat.R' 'Extract.R'
'Math.R' 'RcppExports.R' 'Summary.R' 'Transpose.R' 'aaa.R'

Description: Provides the functionality to write LaTeX code from within R without having to learn LaTeX.

Description: Provides the functionality to write LaTeX code from within

Description: Provides the functionality to write LaTeX code from within R
without having to learn LaTeX.  Functionality also exists to create HTML
and Markdown code.  While the functionality still exists to write
complete documents with lazyWeave, it is generally easier to do so with
with markdown and knitr.  lazyWeave's main strength now is the ability
to design custom and complex tables for reporting results.