MLwiN User Manual

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R demos is attached which allow you to replicate all the analysis reported in the MLwiN MCMC Manual (PDF, 7.4 mb) using R2MLwiN with the package. The table of contents are:

• 01 Introduction to MCMC Estimation and Bayesian Modelling (R)
• 02 Single Level Normal Response Modelling (R)
• 03 Variance Components Models (R)
• 04 Other Features of Variance Components Models (R)
• 05 Prior Distributions, Starting Values and Random Number Seeds (R)
• 06 Random Slopes Regression Models (R)
• 07 Using the WinBUGS Interface in MLwiN (R)
• 08 Running a Simulation Study in MLwiN (R)
• 09 Modelling Complex Variance at Level 1 / Heteroscedasticity (R)
• 10 Modelling Binary Responses (R)
• 11 Poisson Response Modelling (R)
• 12 Unordered Categorical Responses (R)
• 13 Ordered Categorical Responses (R)
• 14 Adjusting for Measurement Errors in Predictor Variables (R)
• 15 Cross Classified Models (R)
• 16 Multiple Membership Models (R)
• 17 Modelling Spatial Data (R)
• 18 Multivariate Normal Response Models and Missing Data (R)
• 19 Mixed Response Models and Correlated Residuals (R)
• 20 Multilevel Factor Analysis Modelling (R)
• 21 Using Structured MCMC (R)
• 22 Using the Structured MVN framework for models (R)
• 23 Using Orthogonal fixed effect vectors (R)
• 24 Parameter expansion (R)
• 25 Hierarchical Centring (R)