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Change Point Detection in High-Dimensional Time Series Networks

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Core Tools for Packages in the 'fable' Framework

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Overfitting Bayesian Mixtures of Factor Analyzers with Parsimonious Covariance and Unknown Number of Components

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Create Easily Canvas in 'shiny' and 'RMarkdown' Documents

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Instrumental Variables Estimation for 2^k Factorial Experiments

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Combination of Factorial Methods and Cluster Analysis

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Extract and Visualize the Results of Multivariate Data Analyses

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Post-Processing MCMC Outputs of Bayesian Factor Analytic Models

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Maximum Likelihood and Bayesian Estimation of Univariate Probability Distributions

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