README.md
In Dfranzani/MTRGLM: Generalized linear model metrics
MtrGLM 
Mglm is a package designed to facilitate the calculation of metrics of a generalized linear model for binary response variable. In particular, the package in this first version allows calculating the metrics associated with the confusion matrix (Recall, Precision, Accuracy and F1 Score), in addition to a series of graphs (ROC, PR, Gain and KS curves).
Installation
To install the package it is necessary to run devtools::install_github("Dfranzani/MtrGLM"), which does not include the vignettes.
Dfranzani/MTRGLM documentation built on March 28, 2024, 1:34 a.m.
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MtrGLM
Mglm is a package designed to facilitate the calculation of metrics of a generalized linear model for binary response variable. In particular, the package in this first version allows calculating the metrics associated with the confusion matrix (Recall, Precision, Accuracy and F1 Score), in addition to a series of graphs (ROC, PR, Gain and KS curves).
Installation
To install the package it is necessary to run devtools::install_github("Dfranzani/MtrGLM"), which does not include the vignettes.
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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