OLRmod: An Example of an Ordinal Logic Regression Model
In OrdLogReg: Ordinal Logic Regression
Description
The Ord.logreg model for data with an ordinal response with 4 categories and 10% error. The response in the data used to contruct the model follow the underlying logical relationship
Y4 = (X10 & X45 ) | (X25 & X45)
Y3 = (X15 & X35)
Y2 = (X5 & !X20) | (!X20 & X30 & !X40)
The Ord.logreg model was constructed using 5-fold cross validation considering tree sizes of 1 to 8 leaves.
Usage
1
Examples
1
2
OrdLogReg documentation built on May 29, 2017, 10:29 p.m.
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Description
The Ord.logreg model for data with an ordinal response with 4 categories and 10% error. The response in the data used to contruct the model follow the underlying logical relationship
Y4 = (X10 & X45 ) | (X25 & X45)
Y3 = (X15 & X35)
Y2 = (X5 & !X20) | (!X20 & X30 & !X40)
The Ord.logreg model was constructed using 5-fold cross validation considering tree sizes of 1 to 8 leaves.
Usage
1 |
Examples
1 2 |
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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