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Data sets from subject/item type studies in Psychology and Linguistics

R 1.71% Jupyter Notebook 10.65% HTML 87.64%

repsychling's Introduction

RePsychLing

Data sets from subject/item type studies in Psychology and Linguistics.

RePsychLing is not available on CRAN. To install the package from GitHub, first install devtools and its dependencies. Then run

devtools::install_github("dmbates/RePsychLing") in R.

Background reading:

  • Bates, D., Kliegl, R., Vasishth, S., & Baayen, H. (2015). Parsimonious mixed models. arXiv preprint arXiv:1506.04967. download
  • Matuschek, H., Kliegl, R., Vasishth, S., Baayen, H., & Bates, D. (2015). Balancing type I error and power in linear mixed models. arXiv preprint arXiv:1511.01864. Journal of Memory and Language, accepted pending minor revisions. download
  • Baayen, H., Vasishth, S., Kliegl, R., & Bates, D. (2016) The Cave of Shadows: Addressing the human factor with generalized additive mixed models. Journal of Memory and Language, 2016. accepted.

repsychling's People

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