Quite extensive package for maximum likelihood estimation and weighted least squares estimation of categorical marginal models (CMMs; e.g., Bergsma & Rudas, 2002; Bergsma, Croon and Hagenaars, 2009
Wicher P. Bergsma Maintainer: L. Andries van der Ark L.A.vanderArk@uva.nl.
| Package: | cmm |
| Type: | Package |
| Version: | 0.12 |
| Date: | 2018-03-11 |
| License: | GPL (>= 2) |
The package contains principal functions for analyzing marginal models for categorical data. All functions are illustrated using examples from the book Marginal Models for Dependent, Clustered, and Longitudunal Categorical Data (Bergsma, Croon, & Hagenaars, 2009).
The package contains the following functions
ConstraintMatrix
DesignMatrix
DirectSum
JoinModels
MarginalMatrix
MarginalModelFit
ModelStatistics
SampleStatistics
SpecifyCoefficient
The package contains the following data sets
Antisemitism
BodySatisfaction
ClarenceThomas
DutchConcern
DutchPolitics
ErieCounty
EVS
GSS93
LaborParticipation
MarihuanaAlcohol
NES
NKPS
NKPS2
Smoking
Bergsma, W. P. (1997). Marginal models for categorical data. Tilburg, The Netherlands: Tilburg University Press. http://stats.lse.ac.uk/bergsma/pdf/bergsma_phdthesis.pdf
Bergsma, W. P., Croon, M. A., & Hagenaars, J. A. P. (2009). Marginal models for dependent, clustered, and longitudunal categorical data. Berlin: Springer. <DOI: 10.1007/b12532>
Bergsma, W. P.& Rudas T. (2002). Marginal models for categorical data. The Annals of Statistics, 30, 1, 140-159. http://www.jstor.org/stable/2700006