LogisticCopula
A Copula Based Extension of Logistic Regression
An implementation of a method of extending a logistic regression model beyond linear effects of the co-variates. The extension in is constructed by first equating the logistic regression model to a naive Bayes model where all the margins are specified to follow natural exponential distributions conditional on Y, that is, a model for Y given X that is specified through the distribution of X given Y, where the columns of X are assumed to be mutually independent conditional on Y. Subsequently, the model is expanded by adding vine - copulas to relax the assumption of mutual independence, where pair-copulas are added in a stage-wise, forward selection manner. Some heuristics are employed during the process of selecting edges, as well as the families of pair-copula models. After each component is added, the parameters are updated by a (smaller) number of gradient steps to maximise the likelihood. When the algorithm has stopped adding edges, based the criterion that a new edge should improve the likelihood more than k times the number new parameters, the parameters are updated with a larger number of gradient steps, or until convergence.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.0 |
rolling linux/jammy R-4.5 | LogisticCopula_0.1.0.tar.gz |
160.7 KiB |
0.1.0 |
rolling linux/noble R-4.5 | LogisticCopula_0.1.0.tar.gz |
160.7 KiB |
0.1.0 |
rolling source/ R- | LogisticCopula_0.1.0.tar.gz |
63.3 KiB |
0.1.0 |
latest linux/jammy R-4.5 | LogisticCopula_0.1.0.tar.gz |
160.7 KiB |
0.1.0 |
latest linux/noble R-4.5 | LogisticCopula_0.1.0.tar.gz |
160.7 KiB |
0.1.0 |
latest source/ R- | LogisticCopula_0.1.0.tar.gz |
63.3 KiB |
0.1.0 |
2026-04-26 source/ R- | LogisticCopula_0.1.0.tar.gz |
63.3 KiB |
0.1.0 |
2026-04-23 source/ R- | LogisticCopula_0.1.0.tar.gz |
63.3 KiB |
0.1.0 |
2026-04-09 windows/windows R-4.5 | LogisticCopula_0.1.0.zip |
164.1 KiB |
0.1.0 |
2025-04-20 source/ R- | LogisticCopula_0.1.0.tar.gz |
63.3 KiB |
Dependencies (latest)
Depends
- brglm2 (>= 0.9)
Imports
- VineCopula (>= 2.5.0)
- rvinecopulib (>= 0.6.3.1.1)
- igraph (>= 2.0.3)
- numDeriv (>= 8-1.1)
- stringr (>= 1.5.1)