Software
Several SAS macros/example programs, R packages and WinBugs programs have been written in the process of our research activities. They can be used free of charge. These macros/packages are distributed in the hope that they will be useful, but although thoroughly tested, are WITHOUT ANY WARRANTY.
The following SAS macros are available:
- Linear Mixed Models
- Nonlinear and Generalised Linear Mixed Models
- Multivariate Linear Mixed Models
- Interval-censored data
- Fitting a multivariate log-logistic survival model based on interval-censored data
- Finding the regions of possible support for bivariate interval-censored data
- Estimating Kendall's tau for bivariate interval-censored data with a smooth estimate of the density
- Estimating measures of association for bivariate interval-censored data in a flexible way
- Winbugs
- Nonparametric ANCOVA
The following R packages are available:
- Latent Trait Models
- Count data
- Bayesian analyses
The following WinBugs programs are available:
- Measurement error
The following R/WinBugs programs are available:
- latent class analysis
The following SAS example programs are available:
- Multivariate Generalised Linear Mixed Models (MGLMM)
| A SAS MACRO FOR LINEAR MIXED MODELS WITH FINITE NORMAL MIXTURES AS RANDOM-EFFECTS DISTRIBUTION | |||||||
|---|---|---|---|---|---|---|---|
| Program : | hetmixed | Version : | 1.1 | Software : | SAS | Version : | 6.12 |
| Prepared by: | Arnost Komárek, Geert Verbeke |
||||||
| Description : | A description of the macro in pdf-format and the SAS script files used for the reported examples can be downloaded together with the macro. | ||||||
| Download (size 123KB) | Last Updated : |
12 March 2005 |
|||||
| A SAS MACRO FOR NONLINEAR AND GENERALISED LINEAR MIXED MODELS WITH FINITE NORMAL MIXTURES AS RANDOM-EFFECTS DISTRIBUTION | |||||||
|---|---|---|---|---|---|---|---|
| Program : | hetnlmixed | Version : | 1.2.5 | Software : | SAS | Version : | 6.12 or 8.2 |
| Prepared by: | Bart Spiessens, Geert Verbeke, Arnost Komárek, Steffen Fieuws |
||||||
| Description : | A paper in pdf-format describing the macro can be downloaded together with the macro. | ||||||
| Download (size 123KB) | Last Updated : |
12 March 2005 |
|||||
| SAS MACRO FOR LOCAL INFLUENCE ANALYSIS IN LINEAR MIXED MODELS | |||||||
|---|---|---|---|---|---|---|---|
| Program : | locinfl | Version : | 1 | Software : | SAS | Version : | 6.12 or 8.2 |
| Prepared by: | Franz Torres Barbosa (Center for Molecular Immunology, Habana, Cuba) and Geert Verbeke |
||||||
| Description : | The macro performs a local influence analysis for the detection of influential subjects in linear mixed models. We refer to Verbeke and Molenberghs (Section 3.13.2) for a description of the procedure, and to Lesaffre and Verbeke for the technical details. Three examples of how to use the macro are also given.
|
||||||
| Download (size 123KB) | Last Updated : |
12 March 2005 |
|||||
| SAS MACRO FOR FITTING A MULTIVARIATE LINEAR MIXED MODEL USING THE PAIRWISE APPROACH | |||||||
|---|---|---|---|---|---|---|---|
| Program : | jointpairv1.sas | Version : | 1 | Software : | SAS | Version : | 9.1.3 |
| Prepared by: | |||||||
| Description : | A SAS macro using the pairwise approach to fit a multivariate linear mixed model..
|
||||||
| Download (size 30KB) | Last Updated : |
13 December 2006 |
|||||
| SAS MACRO FOR FITTING A MULTIVARIATE LOG-LOGISTIC SURVIVAL MODEL BASED ON INTERVAL-CENSORED DATA | |||||||
|---|---|---|---|---|---|---|---|
| Program : | iwm | Version : | 2 | Software : | SAS | Version : | 8.2 |
| Prepared by: | Kris Bogaerts | ||||||
| Description : | The macro can fit a multivariate log-logistic surivival model on interval-censored data using a Generalised Estimating Equations (GEE) like technique. |
||||||
| Download (size 123KB) | Last Updated : |
12 March 2005 |
|||||
| SAS MACRO FOR FINDING THE REGIONS OF POSSIBLE SUPPORT FOR BIVARIATE INTERVAL-CENSORED DATA | |||||||
|---|---|---|---|---|---|---|---|
| Program : | brs | Version : | 2 | Software : | SAS | Version : | 8.2 |
| Prepared by: | Kris Bogaerts | ||||||
| Description : | The macro performs a new fast algorithm to find the regions of possible support for bivariate interval-censored data. A technical report describing the algorithm can be found on the website: http://www.stat.ucl.ac.be/IAP. |
||||||
| Download (size 123KB) | Last Updated : |
12 March 2005 |
|||||
| SAS MACRO FOR ESTIMATING KENDALL'S TAU FOR BIVARIATE INTERVAL-CENSORED DATA WITH A SMOOTH ESTIMATE OF THE DENSITY | |||||||
|---|---|---|---|---|---|---|---|
| Program : | kendall | Version : | 1 | Software : | SAS | Version : | 8.2 |
| Prepared by: | Kris Bogaerts | ||||||
| Description : | The macro estimates Kendall's tau for bivariate interval censored data with a smooth estimate of the density. The macro links to a dynamic link library which contains part of programs written in C++ to speed up the performance. For installations procdures, please read the readme file in the zip-file. |
||||||
| Download (size 565KB) | Last Updated : |
11 November 2004 |
|||||
| SAS MACRO FOR ESTIMATING MEASURES OF ASSOCIATION FOR BIVARIATE INTERVAL-CENSORED DATA IN A FLEXIBLE WAY | |||||||
|---|---|---|---|---|---|---|---|
| Program : | smooth | Version : | 2b | Software : | SAS | Version : | 8.2 |
| Prepared by: | Kris Bogaerts | ||||||
| Description : | The macro estimates Kendall's tau, Spearman's correlation and the cross ratio function for bivariate interval censored data with a smooth estimate of the density. The macro links to a dynamic link library which contains part of programs written in C++ to speed up the performance. For installations procdures, please read the readme file in the zip-file. Updated on 24 March 2006: corrected bug in calculation of the cross ratio function. Dynamic link library kentau.dll is replaced. |
||||||
| Download (size 569KB) | Last Updated : |
24 March 2006 |
|||||
| SAS MACRO FOR CALLING WINBUGS FROM WITHIN SAS | |||||||
|---|---|---|---|---|---|---|---|
| Program : | SasBugs | Version : | 1 | Software : | SAS | Version : | 8.2 |
| Prepared by: | Samuel Mwalili | ||||||
| Description : | The macro allows to call WinBugs from within SAS. The zip file contains the macro and a documentation file. |
||||||
| Download (size 49KB) | Last Updated : |
26 January 2004 |
|||||
| R PACKAGE FOR FITTING LATENT TRAIT MODELS UNDER THE ITEM RESPONSE THEORY APPROACH | |||||||
|---|---|---|---|---|---|---|---|
| Program : | ltm | Version : | 0.7-0 |
Software : | R | Version : | >=2.3.0 |
| Prepared by: | Dimitris Rizopoulos | ||||||
| Description : | Analysis of multivariate dichotomous and polytomous data using latent trait models under the Item Response Theory approach. It includes the Rasch, the Two-Parameter Logistic, the Birnbaum's Three-Parameter, and the Graded Response Models. The source code, the Windows binary and the manual are available for download. The software is available under the GPL license version 2 or later. Also downloadable from CRAN. Documation can also be found here and here. |
||||||
Download source code (size 74KB) |
Last Updated : |
1 December 2006 |
|||||
| R PACKAGE FOR FITTING A ZERO-INFLATED COUNT DATA MODEL | |||||||
|---|---|---|---|---|---|---|---|
| Program : | zicount | Version : | 1.1-4 |
Software : | R | Version : | >=2.0.1 |
| Prepared by: | Samuel Mwalili | ||||||
| Description : | This package fits classical and zero-inflated count data regression model as well as censored count data regression. The Windows binary and the manual are available for download. The software is available under the GPL license version 2 or later. Also downloadable from CRAN. |
||||||
Download Windows binary (size 71KB) |
Last Updated : |
21 March 2005 |
|||||
| R PACKAGE FOR FITTING MULTIVARIATE BINARY DATA IN BAYESIAN WAY | |||||||
|---|---|---|---|---|---|---|---|
| Program : | baymvb | Version : | 1.0.2 |
Software : | R | Version : | >=2.0.1 |
| Prepared by: | Samuel Mwalili | ||||||
| Description : | This package fits a multivariate binary data regression model in a Bayesian way. In particular, either a multivariate probit or multivariate t-link model is fitted. The Windows binary and the manual are available for download. The software is available under the GPL license version 2 or later. Also downloadable from CRAN. |
||||||
Download Windows binary (size 279KB) |
Last Updated : |
17 June 2005 |
|||||
| R PACKAGE FOR FITTING SEMIPARAMETRIC BAYESIAN MODELS USING DIRICHLET PROCESS PRIORS AND EXTENSIONS | |||||||
|---|---|---|---|---|---|---|---|
| Program : | DPpackage | Version : | 1.0.5 |
Software : | R | Version : | >=2.2.1 |
| Prepared by: | Alejandro Jara | ||||||
| Description : | This package contains functions for posterior analysis for a number of semiparametric statistical models. Simulation is done in compiled FORTRAN. The Windows binary and the manual are available for download. The software is available under the GPL license version 2 or later. Also downloadable from CRAN. |
||||||
Download Windows binary (size 1.285KB) |
Last Updated : |
9 May 2008 |
|||||
| WINBUGS PROGRAM FOR FITTING A BAYSIAN ORDINAL LOGISTIC REGRESSION MODEL TO CORRECT FOR INTER-OBSERVER MEASUREMENT ERROR | |||||||
|---|---|---|---|---|---|---|---|
| Program : | cord | Version : | 1 |
Software : | WinBugs | Version : | 1.4 |
| Prepared by: | Samuel Mwalili | ||||||
| Description : | Winbugs program for fitting a Baysian ordinal logistic regression model to correct for Inter-observer measurement error in a geographical oral health study.
|
||||||
Download (Link to JRSS-C Datasets Website) |
Last Updated : |
21 March 2005 |
|||||
| FITTING A MULTIVARIATE GENERALISED LINEAR MIXED MODEL USING THE PAIRWISE APPROACH | |||||||
|---|---|---|---|---|---|---|---|
| Program : | MGLMM_modelA.sas | Version : | 1 |
Software : | SAS | Version : | 9.1.3 |
| Prepared by: | Steffen Fieuws | ||||||
| Description : | Use of the pairwise approach to fit a multivariate generalised linear mixed model. More specifically, the SAS code (and data) are given to fit model A discussed on page 453 of Fieuws S., Verbeke, G., Boen, F. and Delecluse, C. (2006) "High dimensional multivariate mixed models for binary questionnaire data", Applied Statistics, 55 (4), 449-460. Abstract |
||||||
Download (size 14KB) |
Last Updated : |
11 December 2006 |
|||||
| A NEW NON-PARAMETRIC APPROACH FOR BASELINE COVARIATE ADJUSTMENT FOR TWO-GROUP COMPARATIVE STUDIES | |||||||
|---|---|---|---|---|---|---|---|
| Program : | schacht.sas | Version : | 3 |
Software : | SAS | Version : | 8.2 |
| Prepared by: | Kris Bogaerts | ||||||
| Description : | A new non-parametric approach for baseline covariate adjustment for two-group comparative studies. |
||||||
Download (size 14KB) |
Last Updated : |
7 April 2008 |
|||||
| EXAMPLE PROGRAMS FOR BAYESIAN LATENT CLASS ANALYSIS OF CONDITIONALLY DEPENDENT DIAGNOSTIC TESTS | |||||||
|---|---|---|---|---|---|---|---|
| Program : | LCMS.zip | Version : | 1 | Software : | R Winbugs |
Version : | 2.3.1 |
| Prepared by: | Joris Menten | ||||||
| Description : | Example programs, functions, and data for fitting and assessing Bayesian latent class models with conditionally dependent diagnostic tests using WinBugs called from within R. |
||||||
Download (size 34KB) |
Last Updated : |
9 May 2008 |
|||||
