Douglas M. Bates
University of Wisconsin-Madison
86Publications
26H-index
37.5kCitations
Publications 86
Newest
Published on Jun 1, 2017in Journal of Memory and Language 2.83
Hannes Matuschek5
Estimated H-index: 5
(University of Potsdam),
Reinhold Kliegl56
Estimated H-index: 56
(University of Potsdam)
+ 2 AuthorsDouglas M. Bates26
Estimated H-index: 26
(University of Wisconsin-Madison)
Abstract Linear mixed-effects models have increasingly replaced mixed-model analyses of variance for statistical inference in factorial psycholinguistic experiments. Although LMMs have many advantages over ANOVA, like ANOVAs, setting them up for data analysis also requires some care. One simple option, when numerically possible, is to fit the full variance-covariance structure of random effects (the maximal model; Barr, Levy, Scheepers & Tily, 2013), presumably to keep Type I error down to the n...
115 Citations Source Cite
Published on Jun 1, 2017in Journal of Memory and Language 2.83
Harald Baayen8
Estimated H-index: 8
(University of Tübingen),
Shravan Vasishth21
Estimated H-index: 21
(University of Potsdam)
+ 1 AuthorsDouglas M. Bates26
Estimated H-index: 26
(University of Wisconsin-Madison)
Abstract Generalized additive mixed models are introduced as an extension of the generalized linear mixed model which makes it possible to deal with temporal autocorrelational structure in experimental data. This autocorrelational structure is likely to be a consequence of learning, fatigue, or the ebb and flow of attention within an experiment (the ‘human factor’). Unlike molecules or plots of barley, subjects in psycholinguistic experiments are intelligent beings that depend for their survival...
26 Citations Source Cite
Published on Oct 7, 2015in Journal of Statistical Software 22.74
Douglas M. Bates26
Estimated H-index: 26
,
Martin Mächler13
Estimated H-index: 13
+ 1 AuthorsSteven C. Walker9
Estimated H-index: 9
Maximum likelihood or restricted maximum likelihood (REML) estimates of the parameters in linear mixed-effects models can be determined using the lmer function in the lme4 package for R. As for most model-fitting functions in R, the model is described in an lmer call by a formula, in this case including both fixed- and random-effects terms. The formula and data together determine a numerical representation of the model from which the profiled deviance or the profiled REML criterion can be evalua...
9,970 Citations Source Cite
Published on Jun 16, 2015in arXiv: Methodology
Douglas M. Bates26
Estimated H-index: 26
,
Reinhold Kliegl56
Estimated H-index: 56
+ 1 AuthorsHarald Baayen8
Estimated H-index: 8
(University of Tübingen)
The analysis of experimental data with mixed-effects models requires decisions about the specification of the appropriate random-effects structure. Recently, Barr, Levy, Scheepers, and Tily, 2013 recommended fitting `maximal' models with all possible random effect components included. Estimation of maximal models, however, may not converge. We show that failure to converge typically is not due to a suboptimal estimation algorithm, but is a consequence of attempting to fit a model that is too com...
98 Citations
Published on Nov 10, 2015in arXiv: Applications
Harald Baayen8
Estimated H-index: 8
,
Shravan Vasishth21
Estimated H-index: 21
+ 1 AuthorsReinhold Kliegl56
Estimated H-index: 56
Unlike molecules or plots of barley, subjects in psycholinguistic experiments are intelligent beings that depend for their survival on constant adaptation to their environment. This study presents three data sets documenting the presence of adaptive processes in psychological experiments. These adaptive processes leave a statistical footprint in the form of autocorrelations in the residual error associated with by-subject time series of trial-to-trial responses. Generalized additive mixed models...
5 Citations
Published on Feb 7, 2013in Journal of Statistical Software 22.74
Douglas M. Bates26
Estimated H-index: 26
,
Dirk Eddelbuettel7
Estimated H-index: 7
The RcppEigen package provides access from R (R Core Team 2012a) to the Eigen (Guennebaud, Jacob, and others 2012) C++ template library for numerical linear algebra. Rcpp (Eddelbuettel and Francois 2011, 2012) classes and specializations of the C++ templated functions as and wrap from Rcpp provide the "glue" for passing objects from R to C++ and back. Several introductory examples are presented. This is followed by an in-depth discussion of various available approaches for solving least-squares ...
27 Citations Source Cite
Published on Mar 23, 2012in Technometrics 1.57
Douglas M. Bates26
Estimated H-index: 26
(University of Wisconsin-Madison),
Donald G. Watts15
Estimated H-index: 15
(Queen's University)
Published on Apr 4, 2011in The Mind Research Repository
Reinhold Kliegl56
Estimated H-index: 56
,
Douglas M. Bates26
Estimated H-index: 26
There has been a substantial increase in the percentage for publications with co-authors located in departments from different countries in 12 major journals of psychology. The results are evidence for a remarkable internationalization of psychological research, starting in the mid 1970s and increasing in rate at the beginning of the 1990s. This growth occurs against a constant number of articles with authors from the same country; it is not due to a concomitant increase in the number of co-auth...
Published on Apr 1, 2011in Scientometrics 2.17
Reinhold Kliegl56
Estimated H-index: 56
(University of Potsdam),
Douglas M. Bates26
Estimated H-index: 26
(University of Wisconsin-Madison)
There has been a substantial increase in the percentage for publications with co-authors located in departments from different countries in 12 major journals of psychology. The results are evidence for a remarkable internationalization of psychological research, starting in the mid 1970s and increasing in rate at the beginning of the 1990s. This growth occurs against a constant number of articles with authors from the same country; it is not due to a concomitant increase in the number of co-auth...
33 Citations Source Cite
Published on Feb 1, 2010in Journal of Animal Science 1.71
Ana I. Vazquez16
Estimated H-index: 16
(University of Wisconsin-Madison),
Douglas M. Bates26
Estimated H-index: 26
(University of Wisconsin-Madison)
+ 2 AuthorsK.A. Weigel37
Estimated H-index: 37
(University of Wisconsin-Madison)
Mixed models have been used exten- sively in quantitative genetics to study continuous and discrete traits. A standard quantitative genetic model proposes that the effects of levels of some random fac- tor (e.g., sire) are correlated accordingly with their re- lationships. For this reason, routines for mixed models available in standard packages cannot be used for ge- netic analysis. The pedigreemm package of R was de- veloped as an extension of the lme4 package, and al- lows mixed models with c...
72 Citations Source Cite
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