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ModelMetrics  

Rapid Calculation of Model Metrics
View on CRAN: Click here


Download and install ModelMetrics package within the R console
Install from CRAN:
install.packages("ModelMetrics")

Install from Github:
library("remotes")
install_github("cran/ModelMetrics")

Install by package version:
library("remotes")
install_version("ModelMetrics", "1.2.2.2")



Attach the package and use:
library("ModelMetrics")
Maintained by
Tyler Hunt
[Scholar Profile | Author Map]
First Published: 2016-08-17
Latest Update: 2020-03-17
Description:
Collection of metrics for evaluating models written in C++ using 'Rcpp'. Popular metrics include area under the curve, log loss, root mean square error, etc.
How to cite:
Tyler Hunt (2016). ModelMetrics: Rapid Calculation of Model Metrics. R package version 1.2.2.2, https://cran.r-project.org/web/packages/ModelMetrics. Accessed 06 Apr. 2025.
Previous versions and publish date:
1.0.0 (2016-08-17 01:11), 1.1.0 (2016-08-26 20:35), 1.2.0 (2018-08-10 19:20), 1.2.2.1 (2020-01-13 18:36), 1.2.2 (2018-11-03 18:00)
Other packages that cited ModelMetrics R package
View ModelMetrics citation profile
Other R packages that ModelMetrics depends, imports, suggests or enhances
Complete documentation for ModelMetrics
Functions, R codes and Examples using the ModelMetrics R package
Some associated functions: auc . brier . ce . confusionMatrix . f1Score . fScore . gini . kappa . logLoss . mae . mauc . mcc . mlogLoss . mse . msle . npv . ppv . recall . rmse . rmsle . testDF . tnr . 
Some associated R codes: ModelMetrics.R . RcppExports.R . auc.R . binaryChecks.R . brier.R . ce.R . gini.R . logLoss.R . mae.R . mse.R . msle.R . rmsle.R .  Full ModelMetrics package functions and examples
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