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Structural Equation Modeling with R (sem)
SEM is an R package for fitting structural-equation models. The package supports general structural equation models with latent varibles, fit by maximum likelihood assuming multinormality, and single-equation estimation for observed-variable models by two-stage least.squares
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SEM package for R - Documentation
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Software documentation
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Structural Equation Modeling with the SEM Package in R
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Fox, John (2006),"Structural Equation Modeling With the sem Package in R", Structural Equation Modeling,13(3),465-486,Lawrence Erlbaum Assoc, Inc.
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Estimating Multi-level Models Using SPSS, Stata, SAS and R
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Imputation Methods Document
A survey of multiple imputation software packages. How-to's, tips and pitfalls.
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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.
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Spatial Econometrics
PowerPoint presentation by T.C. Yang 3/11/2013
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Spatial Econometrics - R Code
Code to accompany presentation by T.C. Yang 3/11/2013
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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. 
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