vwr: Useful functions for visual word recognition research

Functions and data for use in visual word recognition research: Supports 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.

Version: 0.1
Depends: R (≥ 2.10.0), RecordLinkage, lattice, latticeExtra
Suggests: multicore
Published: 2012-07-23
Author: Emmanuel Keuleers
Maintainer: Emmanuel Keuleers <emmanuel.keuleers at ugent.be>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: vwr results

Downloads:

Package source: vwr_0.1.tar.gz
MacOS X binary: vwr_0.1.tgz
Windows binary: vwr_0.1.zip
Reference manual: vwr.pdf