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Data Analysis Using Regression and Multilevel/Hierarchical Models
A bayesian hierarchical topic model for texts in R. The package implements Grimmer (2010).
Complex Hierarchical Models, Gibbs Sampling, Metropolis Hasting, 2 Step Gibbs with Missing Data Imputation, Hidden Variables, Multivariate Distributions, Probit Model, Logit Model, Inverse Wishart …
Estimating the Distribution of Sensorimotor Synchronization Data: A Bayesian Hierarchical Modeling Approach
Example code to run a covariate version of the community hierarchical model with data augmentation
Data files, analysis scripts, extended version of JAGS, and hierarchical model files for Mayhew et al., J R Soc Interface, 2017