rspa-package

<p>Given a vector \(\boldsymbol{x}^0\), and a set linear restrictions of the
form  \(\boldsymbol{a}_i\cdot\boldsymbol{x}_i=b_i\) and/or 
\(\boldsymbol{a}_i\cdot\boldsymbol{x}_i\leq b_i\) with \(i=1,2,\ldots,m\). 
This package finds the nearest vector to \(\boldsymbol{x}^0\) 
(in the (weighted) euclidean sense) that satisfies all restrictions.</p>

Minimally adjust the values of numerical records in a data.frame, such
that each record satisfies a predefined set of equality and/or inequality
constraints. The constraints can be defined using the 'validate' package.
The core algorithms have recently been moved to the 'lintools' package,
refer to 'lintools' for a more basic interface and access to a version
of the algorithm that works with sparse matrices.

Mark der Loo

rspa-package: A package for minimal vector adjustment.

Description

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