multiclass_logistic: Multiclass logistic regression
In Zebedial/bis557: The package created for BIS557 Homework 1
Description
Usage
Arguments
Value
View source: R/logistic_regression.R
Description
This function helps to do the preparation works of implememnt multiclass classification by using logistic regression. It returns a matrix of
estimated coefficients with different rows corresponding to different comparison. The comparison there means being a specific class vs. not being that class.
Usage
1
multiclass_logistic(X, Y, maxit = 100)
Arguments
X
A specifeid design matrix
Y
The multilevel outcome of interest
maxit
Maximum number of iterations
Value
A matrix of coefficient estimates corresponding to different comparison.
Zebedial/bis557 documentation built on Dec. 21, 2020, 2:16 a.m.
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Description Usage Arguments Value
View source: R/logistic_regression.R
Description
This function helps to do the preparation works of implememnt multiclass classification by using logistic regression. It returns a matrix of estimated coefficients with different rows corresponding to different comparison. The comparison there means being a specific class vs. not being that class.
Usage
1 | multiclass_logistic(X, Y, maxit = 100)
|
Arguments
X |
A specifeid design matrix |
Y |
The multilevel outcome of interest |
maxit |
Maximum number of iterations |
Value
A matrix of coefficient estimates corresponding to different comparison.
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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