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 |
Downloads:
Reverse dependencies:
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