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idealstan offers item-response theory (IRT) ideal-point estimation for binary, ordinal, counts and continuous responses with time-varying and missing-data inference. Latent space model also include…
Simulation and power analysis of panel/hierarchical data that allows for independently generating effects by cross-section (between-subject) and case (within-subject), including auto-correlation in…
Repository for R code for variational inference approximation from Yao, Vehtari, Simpson and Gelman (2018)
A model that estimates survey scale and visual analog slider data with observations at the boundaries of the scale. Can be fit with R package brms (see vignette).
A repository of syllabi based on templates from @svmiller
R package algoeval uses Bayesian hierarchical models to evaluate net profit given a set of competing customer targeting algorithms (or any other kind of machine learning algorithms).
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