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Multilevel Modeling with R

Including Mixed and Hierarchical models

Fixing Mixed-Effect Models Using the lme4 Package in R

Deepayan Sarkar, Fred Hutchinson Cancer Research Center

Also of Interest: Estimating Multi-level Models Using SPSS, Stata, SAS and R; Imputation Methods Document A survey of multiple imputation software packages. How-to's, tips and pitfalls.; Proportion Testing in SAS and R If tests of proportions are needed for various levels of summary of data, you can use SAS to create a file that can be used by R to run proportion tests. For example, if you have data summarized by race, age groups, and some other variable, and you want to test the rates or proportions for each value of the variable for each race, age group, and race-age group combination with the population estimates for a particular year, you can summarize the data and merge with SAS, then create a file with the R commands.; Spatial Econometrics PowerPoint presentation by T.C. Yang 3/11/2013; Spatial Econometrics - R Code Code to accompany presentation by T.C. Yang 3/11/2013; More…

R Training at PRI

Check the R Interest Group website for information on the next R Interest Group meeting.

This is an informal, interest-driven gathering to explore the use of R programming. Come when you can, no need to register. Bring your laptop. useR

The R Journal >> Latest Issue: Volume 4/2, December 2012 Dec 14, 2012; More…

Journal of Statistical Software: stgenreg: A Stata Package for General Parametric Survival Analysis May 29, 2013; A Distributed Procedure for Computing Stochastic Expansions with Mathematica May 29, 2013; Minimum-Size Mixed-Level Orthogonal Fractional Factorial Designs Generation: A SAS-Based Algorithm May 29, 2013; More…