lr_cmat: Extract a confusion matrix from a binary glm object. An...
In Avery-Lisa/myReportRx: Adaptation on ReportRx for Markdown
Description
Extract a confusion matrix from a binary glm object. An optional cutpoint can
be specified, otherwise the cutpoint that maximises the Youden index is used.
Returns a confusion matrix from the caret package, with the cut-off added to the output list.
Usage
1
lr_cmat(glm_fit, cutpoint)
Arguments
glm_fit
an glm object with family - 'binomial'
cutpoint
optional cutpoint for categories responses, must be between 0 and 1
Avery-Lisa/myReportRx documentation built on May 23, 2021, 2:30 a.m.
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Description
Extract a confusion matrix from a binary glm object. An optional cutpoint can be specified, otherwise the cutpoint that maximises the Youden index is used. Returns a confusion matrix from the caret package, with the cut-off added to the output list.
Usage
1 | lr_cmat(glm_fit, cutpoint)
|
Arguments
glm_fit |
an glm object with family - 'binomial' |
cutpoint |
optional cutpoint for categories responses, must be between 0 and 1 |
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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