Getting off the GoldVarb Standard: Introducing Rbrul for Mixed-Effects Variable Rule Analysis

By Daniel Ezra Johnson. Language and Linguistics Compass, 2009

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Models, forests, and trees of York English: Was/were variation as a case study for statistical practice (2012, methodology): “Such models have come into language variation and change studies through statistical packages as Rvarb (Paolillo, 2002), Rbrul (Johnson, 2009), and R (R Development Core Team, 2009).”
Socially-mediated syntactic alignment (2014, methodology): “A mixed logit regression analysis (for introductions, see Jaeger, 2008; Johnson, 2009) was conducted to assess whether the web-based paradigm yielded basic syntactic alignment.”
Spanish-English bilingual voice onset time in spontaneous code-switching (2015, methodology): “As these concerns apply directly to our dataset we opted for a mixed-effects model with random intercepts, following Johnson (2009).”
A Latent Variable Model for Geographic Lexical Variation (2010, methodology): “, 2005) and mixed-effects models (Johnson, 2009) are used to measure the contribution of individual variables, while hierarchical clustering and multidimensional scaling enable aggregated inference across multiple variables (Nerbonne, 2009).”