arm: Data Analysis Using Regression and Multilevel/Hierarchical Models

By G. Andrew, Susy A. Yusung, Yajima Masanao, H. Jennifer, Pittau Maria Grazia, Kerman Jouni, Zheng Tian, D. Vicent. 2014

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Psychometric Analyses of Stalking Measures from the National Intimate Partner and Sexual Violence Survey (2019, methodology): “Differences in item difficulty and discrimination across gender groups were then examined using nested Bayesian logistic regression models using the “arm” package in R (Gelman and Su 2016; see Osterlind and Everson 2009, for more details on this type of differential item analysis).”
On the Use of Cauchy Prior Distributions for Bayesian Logistic Regression (2015, methodology): “(2008), we also estimate the posterior mode, denoted by β̃ under identical priors and hyperparameters, using the R package arm (Gelman et al., 2015).”
Stacked Generalization: An Introduction to Super Learning (2017, unknown): “Our library of candidate algorithms consists of Bayesian GLMs ( bayesglm) , implemented via the arm package (v 1.9–3) [20], and multivariate polynomial adaptive regression splines ( polymars) via the polspline package [21].”
Continental-scale decreases in shorebird populations in Australia (2016, methodology): “We also largely followed established R code for the statistics (Gelman et al. 2012; Kuznetsova et al. 2014; Bates et al. 2015), and data collation and manipulation (Zeileis and Grothendieck 2005; Venables 2013; Wickham and Francois 2014).”