S1 Text. Supporting information contains a primer on model building using the proposed framework, an example analysis with accompanying R code, a simulation study that evaluates the proposed algorithm for maximum likelihood estimation, and the different parameter grids used for cross-validation in the paper.
Citation: The PLOS Computational Biology Staff (2016) Correction: Separating Timing, Movement Conditions and Individual Differences in the Analysis of Human Movement. PLoS Comput Biol 12(12): e1005254. https://doi.org/10.1371/journal.pcbi.1005254
Published: December 6, 2016
Copyright: © 2016 The PLOS Computational Biology Staff. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.