Calculate Accurate Precision-Recall and ROC (Receiver Operator Characteristics) Curves

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Documentation for package ‘precrec’ version 0.9.1

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precrec-package precrec: A package for computing accurate ROC and Precision-Recall curves
as.data.frame Convert a curves and points object to a data frame
as.data.frame.aucroc Convert a curves and points object to a data frame
as.data.frame.mmcurves Convert a curves and points object to a data frame
as.data.frame.mmpoints Convert a curves and points object to a data frame
as.data.frame.mscurves Convert a curves and points object to a data frame
as.data.frame.mspoints Convert a curves and points object to a data frame
as.data.frame.smcurves Convert a curves and points object to a data frame
as.data.frame.smpoints Convert a curves and points object to a data frame
as.data.frame.sscurves Convert a curves and points object to a data frame
as.data.frame.sspoints Convert a curves and points object to a data frame
auc Retrieve a data frame of AUC scores
auc.aucs Retrieve a data frame of AUC scores
autoplot Plot performance evaluation measures with ggplot2
autoplot.mmcurves Plot performance evaluation measures with ggplot2
autoplot.mmpoints Plot performance evaluation measures with ggplot2
autoplot.mscurves Plot performance evaluation measures with ggplot2
autoplot.mspoints Plot performance evaluation measures with ggplot2
autoplot.smcurves Plot performance evaluation measures with ggplot2
autoplot.smpoints Plot performance evaluation measures with ggplot2
autoplot.sscurves Plot performance evaluation measures with ggplot2
autoplot.sspoints Plot performance evaluation measures with ggplot2
B1000 Balanced data with 1000 positives and 1000 negatives.
B500 Balanced data with 500 positives and 500 negatives.
create_sim_samples Create random samples for simulations
evalmod Evaluate models and calculate performance evaluation measures
format_nfold Create n-fold cross validation dataset from data frame
fortify Convert a curves and points object to a data frame for ggplot2
fortify.mmcurves Convert a curves and points object to a data frame for ggplot2
fortify.mmpoints Convert a curves and points object to a data frame for ggplot2
fortify.mscurves Convert a curves and points object to a data frame for ggplot2
fortify.mspoints Convert a curves and points object to a data frame for ggplot2
fortify.smcurves Convert a curves and points object to a data frame for ggplot2
fortify.smpoints Convert a curves and points object to a data frame for ggplot2
fortify.sscurves Convert a curves and points object to a data frame for ggplot2
fortify.sspoints Convert a curves and points object to a data frame for ggplot2
IB1000 Imbalanced data with 1000 positives and 10000 negatives.
IB500 Imbalanced data with 500 positives and 5000 negatives.
join_labels Join observed labels of multiple test datasets into a list
join_scores Join scores of multiple models into a list
M2N50F5 5-fold cross validation sample.
mmdata Reformat input data for performance evaluation calculation
P10N10 A small example dataset with several tied scores.
part Calculate partial AUCs
part.mmcurves Calculate partial AUCs
part.mscurves Calculate partial AUCs
part.smcurves Calculate partial AUCs
part.sscurves Calculate partial AUCs
pauc Retrieve a data frame of pAUC scores
pauc.aucs Retrieve a data frame of pAUC scores
plot Plot performance evaluation measures
plot.mmcurves Plot performance evaluation measures
plot.mmpoints Plot performance evaluation measures
plot.mscurves Plot performance evaluation measures
plot.mspoints Plot performance evaluation measures
plot.smcurves Plot performance evaluation measures
plot.smpoints Plot performance evaluation measures
plot.sscurves Plot performance evaluation measures
plot.sspoints Plot performance evaluation measures
precrec precrec: A package for computing accurate ROC and Precision-Recall curves