This help file contains a description of the format of class logregmodel.
logregmodel()
An object of class logregtree has the following components:
ntrees | the number of trees in the current model. |
nleaves | the number of leaves for the fitted model. |
coef | the coefficients for this model. |
score | the score of the fitted model. |
trees | a list of ntrees objects of class logregtree. |
Ingo Ruczinski and Charles Kooperberg
Ruczinski I, Kooperberg C, LeBlanc ML (2003). Logic Regression, Journal of Computational and Graphical Statistics, 12, 475-511.
Ruczinski I, Kooperberg C, LeBlanc ML (2002). Logic Regression - methods and software. Proceedings of the MSRI workshop on Nonlinear Estimation and Classification (Eds: D. Denison, M. Hansen, C. Holmes, B. Mallick, B. Yu), Springer: New York, 333-344.
Kooperberg C, Ruczinski I, LeBlanc ML, Hsu L (2001). Sequence Analysis using Logic Regression, Genetic Epidemiology, 21, S626-S631.
Selected chapters from the dissertation of Ingo Ruczinski.
logreg, plot.logregmodel, print.logregmodel, logregtree
logregmodel() # displays this help file
help(logregmodel) # equivalent