This webpage contains download links for scripts and other software resources that enable you to compute beta regression models of the kind described in Smithson & Verkuilen (2006), Verkuilen & Smithson (2011), and Smithson, Merkle & Verkuilen (2011). These are variously available in SPSS, SPlus/R, SAS and WinBUGS from this page. There is also a file containing R code for generating the graphs shown in our 2006 paper. We plan further updates as more resources become available.
We strongly advise downloading this Readme document before embarking on beta regression estimation in any software environment. The links in the table below enable you to download files containing instructions, commented code, and examples from our 2006 paper.
SPSS files 
SPlus/R files 
SAS files 
Instructions (MSWord)  Instructions (MSWord)  SAS instructions/examples 
Instructions (pdf)  Instructions (pdf)  
Example1.sav  Example1.txt  
Example2.sav  Example2.txt 

Example3.sav  Example3.txt  
Graphing code (MSWord)  
Graphing code (pdf) 
There is an excellent beta regression package now available in R, maintained by Achim Zeileis <Achim.Zeileis@Rproject.org>.
In addition to allowing regressors in both location and dispersions submodels, it has good diagnostics and is well documented.
It is available from
http://CRAN.Rproject.org/
The next set of links below enables you to download files containing instructions, commented code, and examples from Verkuilen & Smithson (2011).
Variance Partition 
Section 4.1 
Section 4.2 
Section 4.3 
WinBUGS code  SPSS data file  Instructions (MSWord)  SAS code 
Excel file  SPSS syntax file  Instructions (pdf)  SAS data 
SAS code + data  
WinBUGS code + data 
The next set of links below enables you to download files containing commented code and data for the examples in Smithson, Merkle & Verkuilen (2011).
Example 1 
Example 2 
Example 3 
SPSS code  SPSS code  SPSS code 
SPSS data file  SPSS data file  SPSS data file 
SAS code + data  SAS code + data  SAS code + data 
WinBUGS code + data  WinBUGS code + data 