matr_glob: Matrices to compute generalized logits
In MultiLCIRT: Multidimensional Latent Class Item Response Theory Models
Description
Usage
Arguments
Value
Author(s)
References
Description
It provides the matrices used to compute a vector of generalized logits on the basis of a
vector of probabilities according to the formula Co*log(Ma*p); this is an internal function.
Usage
1
Arguments
l
number of response categories
type
type of logit (l = local-logits, g = global-logits)
Value
Co
matrix of contrasts
Ma
marginalization matrix
Author(s)
Francesco Bartolucci - University of Perugia (IT)
References
Colombi, R. and Forcina, A. (2001), Marginal regression models for the analysis of positive
association of ordinal response variables, Biometrika, 88, 1007-1019.
Glonek, G. F. V. and McCullagh, P. (1995), Multivariate logistic models, Journal of the Royal
Statistical Society, Series B, 57, 533-546.
MultiLCIRT documentation built on May 2, 2019, 2:38 p.m.
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Description Usage Arguments Value Author(s) References
Description
It provides the matrices used to compute a vector of generalized logits on the basis of a vector of probabilities according to the formula Co*log(Ma*p); this is an internal function.
Usage
1 |
Arguments
l |
number of response categories |
type |
type of logit (l = local-logits, g = global-logits) |
Value
Co |
matrix of contrasts |
Ma |
marginalization matrix |
Author(s)
Francesco Bartolucci - University of Perugia (IT)
References
Colombi, R. and Forcina, A. (2001), Marginal regression models for the analysis of positive association of ordinal response variables, Biometrika, 88, 1007-1019.
Glonek, G. F. V. and McCullagh, P. (1995), Multivariate logistic models, Journal of the Royal Statistical Society, Series B, 57, 533-546.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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