License | Linux/osx Build | Windows Build |
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The multiple-instance logistic regression with lasso penalty.
You can install:
- install from CRAN
install.packages("milr")- the latest development version from github with
install.packages("devtools")
devtools::install_github("PingYangChen/milr")If you encounter a bug, please file a reproducible example on github.
set.seed(100)
beta <- runif(5, -5, 5)
trainData <- DGP(70, 3, beta)
testData <- DGP(30, 3, beta)
# default (not use LASSO)
milr_result <- milr(trainData$Z, trainData$X, trainData$ID)
coef(milr_result) # coefficients
fitted(milr_result) # fitted bag labels
fitted(milr_result, type = "instance") # fitted instance labels
summary(milr_result) # summary milr
predict(milr_result, testData$X, testData$ID) # predicted bag labels
predict(milr_result, testData$X, testData$ID, type = "instance") # predicted instance labels