ModelMetrics: Rapid Calculation of Model Metrics
Version 1.1.0

Collection of metrics for evaluating models written in C++ using 'Rcpp'.

AuthorTyler Hunt [aut, cre]
Date of publication2016-08-26 20:35:22
MaintainerTyler Hunt <thunt@snapfinance.com>
LicenseGPL (>= 2)
Version1.1.0
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("ModelMetrics")

Getting started

README.md

Popular man pages

ce: Classification error
confusionMatrix: Confusion Matrix
mcc: Matthews Correlation Coefficient
mlogLoss: Multiclass Log Loss
recall: Recall, Sensitivity, tpr
rmse: Root-Mean Square Error
rmsle: Root Mean Squared Log Error
See all...

All man pages Function index File listing

Man pages

auc: Area Under the Curve
brier: Brier Score
ce: Classification error
confusionMatrix: Confusion Matrix
f1Score: F1 Score
logLoss: Log Loss
mae: Mean absolute error
mauc: Multiclass Area Under the Curve
mcc: Matthews Correlation Coefficient
mlogLoss: Multiclass Log Loss
mse: Mean Square Error
msle: Mean Squared Log Error
npv: Negative Predictive Value
ppv: Postive Predictive Value
recall: Recall, Sensitivity, tpr
rmse: Root-Mean Square Error
rmsle: Root Mean Squared Log Error
testDF: Test data
tnr: Specificity, True negative rate

Functions

auc Man page Source code
auc_ Source code
binaryChecks Source code
brier Man page Source code
brier_ Source code
ce Man page Source code
ce_ Source code
confusionMatrix Man page Source code
confusionMatrix_ Source code
f1Score Man page Source code
f1Score_ Source code
logLoss Man page Source code
logLoss_ Source code
mae Man page Source code
mae_ Source code
mauc Man page Source code
mcc Man page Source code
mcc_ Source code
mlogLoss Man page Source code
mlogLoss_ Source code
mse Man page Source code
mse_ Source code
msle Man page Source code
msle_ Source code
npv Man page Source code
npv_ Source code
plogLoss_ Source code
ppv Man page Source code
ppv_ Source code
precision Man page Source code
recall Man page Source code
recall_ Source code
rmse Man page Source code
rmse_ Source code
rmsle Man page Source code
rmsle_ Source code
sensitivity Man page Source code
specificity Man page Source code
testDF Man page
tnr Man page Source code
tnr_ Source code
tpr Man page Source code

Files

tests
tests/testthat.R
tests/testthat
tests/testthat/test_calculations.R
tests/testthat/test_errors.R
tests/testthat/test_logloss.R
tests/testthat/test_auc.R
src
src/logLoss_.cpp
src/error.cpp
src/confusionMatrix_.cpp
src/RcppExports.cpp
src/auc_.cpp
NAMESPACE
NEWS.md
data
data/testDF.rda
R
R/ModelMetrics.R
R/RcppExports.R
R/binaryChecks.R
README.md
MD5
DESCRIPTION
man
man/msle.Rd
man/rmse.Rd
man/mlogLoss.Rd
man/brier.Rd
man/mae.Rd
man/ppv.Rd
man/ce.Rd
man/auc.Rd
man/mcc.Rd
man/npv.Rd
man/mauc.Rd
man/confusionMatrix.Rd
man/recall.Rd
man/mse.Rd
man/testDF.Rd
man/rmsle.Rd
man/tnr.Rd
man/f1Score.Rd
man/logLoss.Rd
ModelMetrics documentation built on May 19, 2017, 3:34 p.m.

Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.

Please suggest features or report bugs in the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.