multi_logistic: Logistic regression for K classes
In siqiangsu/bis557: BIS557 Homework Package
Description
Usage
Arguments
Value
Examples
View source: R/multi_logistic.R
Description
Logistic regression for K classes
Usage
1
multi_logistic(X, y, maxit = 100)
Arguments
X
A matrix of independent variables
y
A vector of response variable
maxit
Maximum number of iterations
Value
A list of fitted probabilities, classes and misclassification rate.
Examples
1
## Not run: multi_logistic(X=iris[,-5],y=iris[,5],maxit=20)
siqiangsu/bis557 documentation built on Dec. 21, 2020, 2:15 a.m.
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Description Usage Arguments Value Examples
View source: R/multi_logistic.R
Description
Logistic regression for K classes
Usage
1 | multi_logistic(X, y, maxit = 100)
|
Arguments
X |
A matrix of independent variables |
y |
A vector of response variable |
maxit |
Maximum number of iterations |
Value
A list of fitted probabilities, classes and misclassification rate.
Examples
1 | ## Not run: multi_logistic(X=iris[,-5],y=iris[,5],maxit=20)
|
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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