olek-glowka / bootstrap-mixef-regression

R implementation of bootstrapped mixed-effects regression

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bootstrap-mixef-regression

R implementation of bootstrapped mixed-effects regression fit to (partial?) data from Arnon & Snider (2010) and Tremblay & Tucker (2011). Includes bootstrapped hypothesis testing procedures for data transformed under null-hypothesis, as outlined in Davison & Hinkley (1997). Used in meta-analyses reported in my 2018 Linguistics Second Qualifying Paper "Modeling holistic and incremental processing in multi-word chunk comprehension".

References:

Arnon, I. and N. Snider (2010). More than words: Frequency effects for multi-word phrases. Journal of Memory and Language 62 (1), 67-82.

Davison, A. C. and D. V. Hinkley (1997). Bootstrap Methods and their Application. Cambridge: Cambridge University Press.

Tremblay, A. and B. V. Tucker (2011). The effects of N-gram probabilistic measures on the recognition and production of four-word sequences. The Mental Lexicon 6 (2), 302-324.

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R implementation of bootstrapped mixed-effects regression


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