vwr: Useful functions for visual word recognition research

Functions and data for use in visual word recognition research: Computation of neighbors (Hamming and Levenshtein distances), average distances to neighbors (e.g., OLD20), and Coltheart's N. Also includes the LD1NN algorithm to detect bias in the composition of a lexical decision task. Most of the functions support parallel execution. Supplies wordlists for several languages. Uses the string distance functions from the stringdist package by Mark van der Loo.

Version: 0.3.0
Depends: R (≥ 3.0.1), stringdist, lattice, latticeExtra
Suggests: parallel
Published: 2013-08-19
Author: Emmanuel Keuleers
Maintainer: Emmanuel Keuleers <emmanuel.keuleers at ugent.be>
License: GPL (≥ 3)
NeedsCompilation: no
CRAN checks: vwr results


Reference manual: vwr.pdf
Package source: vwr_0.3.0.tar.gz
Windows binaries: r-devel: vwr_0.3.0.zip, r-release: vwr_0.3.0.zip, r-oldrel: vwr_0.3.0.zip
OS X El Capitan binaries: r-release: vwr_0.3.0.tgz
OS X Mavericks binaries: r-oldrel: vwr_0.3.0.tgz
Old sources: vwr archive

Reverse dependencies:

Reverse imports: RObsDat


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