This package provides R implementations of functions in
numerical analysis, with a special view on on optimization and
time series routines. Uses Matlab/Octave function names where
appropriate to simplify porting.

This package provides R implementations of functions in
numerical analysis, with a special view on on optimization and time
series routines. Uses Matlab/Octave function names where appropriate
to simplify porting.

Implementations of functions in numerical analysis as R
scripts, with a special view on on optimization and time series
routines.  Uses Matlab/Octave function names where appropriate
to simplify porting.

Implementations of functions in numerical analysis as R
scripts, with a special view on on optimization and time series
routines.  Uses Matlab function names where appropriate to
simplify porting.

Functions from numerical analysis and linear algebra,
numerical optimization, differential equations, plus some
special functions.  Uses Matlab function names where
appropriate to simplify porting.

Functions from numerical analysis and linear algebra, numerical
optimization, differential equations, plus some special functions.
Uses Matlab function names where appropriate to simplify porting.

graphics, grDevices, stats, utils, quadprog

Provides a large number of functions from numerical analysis and
linear algebra, numerical optimization, differential equations,
time series, plus some well-known special mathematical functions.
Uses 'MATLAB' function names where appropriate to simplify porting.

person("Hans W.", "Borchers",
email="hwborchers@googlemail.com",
role=c("aut", "cre"))

Provides a pragma / directive / keyword syntax for R.
pragma allows for the use of pragma (also sometimes called
directives or keywords. These allow assigning arbitrary
functionality to a word without requiring the standard function
call syntax i.e. with parens.

Prais-Winsten Estimation Procedure for AR(1) Serial Correlation
The Prais-Winsten estimation procedure takes into account serial correlation of type AR(1) in a linear model. The procedure is an iterative method that recursively estimates the beta coefficients and the error autocorrelation of the specified model until convergence of rho, i.e. the AR(1) coefficient, is attained. All estimates are obtained by OLS.