ANES Raking Implementation and Weighted Statistics
This package provides a comprehensive system for selecting
variables and weighting data to match the specifications of the
American National Election Studies.  The package includes
methods for identifying discrepant variables, raking data, and
assessing the effects of the raking algorithm.  It also allows
automated re-raking if target variables fall outside identified
bounds and allows greater user specification than other
available raking algorithms. A variety of functions for
producing simple weighted statistics are also included, such as
weighted Pearson's correlations, Chi-Squareds, and t-tests.

This package provides a comprehensive system for selecting
variables and weighting data to match the specifications of the
American National Election Studies.  The package includes
methods for identifying discrepant variables, raking data, and
assessing the effects of the raking algorithm.  It also allows
automated re-raking if target variables fall outside identified
bounds and allows greater user specification than other
available raking algorithms. A variety of functions for
producing simple weighted statistics are also included, such as
weighted histograms, Pearson's correlations, partial
correlations, Chi-Squareds, and t-tests.

This package provides a comprehensive system for selecting
variables and weighting data to match the specifications of the
American National Election Studies.  The package includes
methods for identifying discrepant variables, raking data, and
assessing the effects of the raking algorithm.  It also allows
automated re-raking if target variables fall outside identified
bounds and allows greater user specification than other
available raking algorithms. A variety of simple weighted
statistics that were previously in this package (version .55
and earlier) have been moved to the package 'weights.'

Provides a comprehensive system for selecting
variables and weighting data to match the specifications of the American
National Election Studies. The package includes methods for identifying
discrepant variables, raking data, and assessing the effects of the raking
algorithm. It also allows automated re-raking if target variables fall
outside identified bounds and allows greater user specification than other
available raking algorithms. A variety of simple weighted statistics that
were previously in this package (version .55 and earlier) have been moved to
the package 'weights.'