glmnetLRC_fit: A glmnetLRC model fit object
In pnnl/glmnetLRC: Lasso and Elastic-Net Logistic Regression Classification with an Arbitrary Loss Function
Description
This object is returned by the call
glmnetLRC_fit <- glmnetLRC(response, predictors, lossMat = lM, estimateLoss = TRUE,
nJobs = parallel::detectCores()) in the example of glmnetLRC. It is preserved
here in the package because it is time consuming to generate.
Format
A glmnetLRC object returned by glmnetLRC
Examples
1
2
# Load fitted glmnetLRC model
data(glmnetLRC_fit)
pnnl/glmnetLRC documentation built on May 25, 2019, 10:22 a.m.
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Description
This object is returned by the call
glmnetLRC_fit <- glmnetLRC(response, predictors, lossMat = lM, estimateLoss = TRUE,
nJobs = parallel::detectCores()) in the example of glmnetLRC. It is preserved
here in the package because it is time consuming to generate.
Format
A glmnetLRC object returned by glmnetLRC
Examples
1 2 | # Load fitted glmnetLRC model
data(glmnetLRC_fit)
|
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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