multi_class_lr: Multinomial Logistic Regression
In fuzzyforest: Fuzzy Forests
Description
Usage
Arguments
Value
Note
Description
Function to generate multi-class data from a multinomial logistic
regression. Assumes there are 5 classes. Only supports two modules for now.
Currently this function is used for testing.
Usage
1
2
multi_class_lr(n, mod1_size = 10, mod2_size = 10, rho = 0.8,
beta = NULL)
Arguments
n
Sample size.
mod1_size
Size of first module.
mod2_size
Size of second module.
rho
Correlation of covariates.
beta
A matrix of parameters.
Value
list with design matrix X, outcome y, and beta.
Note
This work was partially funded by NSF IIS 1251151 and AMFAR 8721SC.
fuzzyforest documentation built on March 25, 2020, 5:09 p.m.
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Description Usage Arguments Value Note
Description
Function to generate multi-class data from a multinomial logistic regression. Assumes there are 5 classes. Only supports two modules for now. Currently this function is used for testing.
Usage
1 2 | multi_class_lr(n, mod1_size = 10, mod2_size = 10, rho = 0.8,
beta = NULL)
|
Arguments
n |
Sample size. |
mod1_size |
Size of first module. |
mod2_size |
Size of second module. |
rho |
Correlation of covariates. |
beta |
A matrix of parameters. |
Value
list with design matrix X, outcome y, and beta.
Note
This work was partially funded by NSF IIS 1251151 and AMFAR 8721SC.
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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