restfulr (>= 0.0.2), graph, S4Vectors (>= 0.7.18), rjson, XML,
RCurl

Adapt numerical records to fit (in)equality restrictions with
the Successive Projection Algorithm
Based on (optionally sparse) quadratic optimization with
the main algorithms implemented in C. Includes features for
easy processing of many (smaller) records. The algorithm has
been tested on fairly large optimization problems with up to a
few million variables and several hundred thousand
restrictions.
'adjusted.R' 'adjustedRecords.R' 'adjust.R' 'adjustRecords.R'
'rspa.R' 'sparseConstraints.R' 'utils.R'

Based on (optionally sparse) quadratic optimization with the main
algorithms implemented in C. Includes features for easy processing of many
(smaller) records. The algorithm has been tested on fairly large
optimization problems with up to a few million variables and several
hundred thousand restrictions.

Adapt Numerical Records To Fit (In)Equality Restrictions

Adapt Numerical Records to Fit (in)Equality Restrictions
Based on (optionally sparse) quadratic optimization with the main algorithms implemented in C. Includes features for easy processing of many (smaller) records. The algorithm has been tested on fairly large optimization problems with up to a few million variables and several hundred thousand restrictions.

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 sparse version
of the algorithm.

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.