R Package Scholar
27,072

ROCR: Visualizing the Performance of Scoring Classifiers

Tobias Sing  Oliver Sander  Niko Beerenwinkel  Thomas Lengauer  Thomas Unterthiner  Felix G.M. Ernst   View description and downloadsView dependenciesGitHub project

2005 Published
1.0-11 Version
0 Citations
6 Authors
Referenced by ⇅ Year
Biocomb: Feature Selection and Classification with the Embedded Validation Procedures for Biomedical Data Analysis (Version 0.4)

2015
DCD: Differential Community Detection in Paired Biological Networks (Version 0.1.0)

2017
DrugClust: Implementation of a Machine Learning Framework for Predicting Drugs Side Effects (Version 0.2)

2016
healthcareai: Tools for Healthcare Machine Learning (Version 2.5.1)

2017
hybridEnsemble: Build, Deploy and Evaluate Hybrid Ensembles (Version 1.7.9)

2013
LEANR: Finds "Local Subnetworks" Within an Interaction Network which Show Enrichment for Differentially Expressed Genes (Version 1.4.9)

2016
LOGANTree: Tree-Based Models for the Analysis of Log Files from Computer-Based Assessments (Version 0.1.1)

2022
MetaIntegrator: Meta-Analysis of Gene Expression Data (Version 2.1.3)

2016
iRafNet: Integrative Random Forest for Gene Regulatory Network Inference (Version 1.1-1)

2016
qeML: Quick and Easy Machine Learning Tools (Version 1.1)

2023
AER: Applied Econometrics with R (Version 1.2-14)

2008
BayesPostEst: Generate Postestimation Quantities for Bayesian MCMC Estimation (Version 0.3.2)

2019
BioM2: Biologically Explainable Machine Learning Framework (Version 1.1.0)

2023
CACIMAR: Cross-Species Analysis of Cell Identities, Markers and Regulations (Version 1.0.0)

2022
CSMES: Cost-Sensitive Multi-Criteria Ensemble Selection for Uncertain Cost Conditions (Version 1.0.1)

2020
Comp2ROC: Compare Two ROC Curves that Intersect (Version 1.1.4)

2013
DRaWR: Discriminative Random Walk with Restart (Version 1.0.3)

2016
DWLS: Gene Expression Deconvolution Using Dampened Weighted Least Squares (Version 0.1.0)

2022
DeepLearningCausal: Causal Inference with Super Learner and Deep Neural Networks (Version 0.0.104)

2024
EBPRS: Derive Polygenic Risk Score Based on Emprical Bayes Theory (Version 2.1.0)

2018
EFS: Tool for Ensemble Feature Selection (Version 1.0.3)

2016
EMP: Expected Maximum Profit Classification Performance Measure (Version 2.0.5)

2014
EZtune: Tunes AdaBoost, Elastic Net, Support Vector Machines, and Gradient Boosting Machines (Version 3.1.1)

2018
GsymPoint: Estimation of the Generalized Symmetry Point, an Optimal Cutpoint in Continuous Diagnostic Tests (Version 1.1.2)

2015
HandTill2001: Multiple Class Area under ROC Curve (Version 1.0.1)

2012
MLmetrics: Machine Learning Evaluation Metrics (Version 1.1.3)

2015
OmicKriging: Poly-Omic Prediction of Complex TRaits (Version 1.4.0)

2013
PRROC: Precision-Recall and ROC Curves for Weighted and Unweighted Data (Version 1.3.1)

2014
PredictABEL: Assessment of Risk Prediction Models (Version 1.2-4)

2011
ROCaggregator: Aggregate Multiple ROC Curves into One Global ROC (Version 1.0.1)

2021
SLModels: Stepwise Linear Models for Binary Classification Problems under Youden Index Optimisation (Version 0.1.2)

2022
Seurat: Tools for Single Cell Genomics (Version 5.1.0)

2017
SmartMeterAnalytics: Methods for Smart Meter Data Analysis (Version 1.0.3)

2020
SuperLearner: Super Learner Prediction (Version 2.0-29)

2011
TML: Tropical Geometry Tools for Machine Learning (Version 2.3.0)

2023
VIMPS: Calculate Variable Importance with Knock Off Variables (Version 1.0)

2024
WeightedROC: Fast, Weighted ROC Curves (Version 2020.1.31)

2017
aLFQ: Estimating Absolute Protein Quantities from Label-Free LC-MS/MS Proteomics Data (Version 1.3.6)

2013
alookr: Model Classifier for Binary Classification (Version 0.3.9)

2020
autoScorecard: Fully Automatic Generation of Scorecards (Version 0.3.0)

2023
bartMan: Create Visualisations for BART Models (Version 0.1.1)

2024
btergm: Temporal Exponential Random Graph Models by Bootstrapped Pseudolikelihood (Version 1.10.12)

2015
classifierplots: Generates a Visualization of Classifier Performance as a Grid of Diagnostic Plots (Version 1.4.0)

2017
cmaRs: Implementation of the Conic Multivariate Adaptive Regression Splines in R (Version 0.1.3)

2021
confcons: Confidence and Consistency of Predictive Distribution Models (Version 0.3.1)

2024
cvAUC: Cross-Validated Area Under the ROC Curve Confidence Intervals (Version 1.1.4)

2013
dismo: Species Distribution Modeling (Version 1.3-14)

2010
ePCR: Ensemble Penalized Cox Regression for Survival Prediction (Version 0.11.0)

2017
eSDM: Ensemble Tool for Predictions from Species Distribution Models (Version 0.4.4)

2019
envi: Environmental Interpolation using Spatial Kernel Density Estimation (Version 1.0.0)

2020
ezplot: Functions for Common Chart Types (Version 0.7.13)

2019
fdm2id: Data Mining and R Programming for Beginners (Version 0.9.9)

2019
funModeling: Exploratory Data Analysis and Data Preparation Tool-Box (Version 1.9.5)

2016
ggfortify: Data Visualization Tools for Statistical Analysis Results (Version 0.4.17)

2015
gkmSVM: Gapped-Kmer Support Vector Machine (Version 0.83.0)

2015
influenceAUC: Identify Influential Observations in Binary Classification (Version 0.1.2)

2020
jmv: The 'jamovi' Analyses (Version 2.5.6)

2017
lulcc: Land Use Change Modelling in R (Version 1.0.4)

2015
mccf1: Creates the MCC-F1 Curve and Calculates the MCC-F1 Metric and the Best Threshold (Version 1.1)

2018
mlr: Machine Learning in R (Version 2.19.2)

2013
nestedcv: Nested Cross-Validation with 'glmnet' and 'caret' (Version 0.7.10)

2022
nlcv: Nested Loop Cross Validation (Version 0.3.5)

2017
nlnet: Nonlinear Network, Clustering, and Variable Selection Based on DCOL (Version 1.4)

2015
nlpred: Estimators of Non-Linear Cross-Validated Risks Optimized for Small Samples (Version 1.0.1)

2019
nproc: Neyman-Pearson (NP) Classification Algorithms and NP Receiver Operating Characteristic (NP-ROC) Curves (Version 2.1.5)

2016
prcbench: Testing Workbench for Precision-Recall Curves (Version 1.1.8)

2016
rattle: Graphical User Interface for Data Science in R (Version 5.5.1)

2013
rawKS: Easily Get True-Positive Rate and False-Positive Rate and KS Statistic (Version 0.1.0)

2020
rocc: ROC Based Classification (Version 1.3)

2010
sand: Statistical Analysis of Network Data with R, 2nd Edition (Version 2.0.0)

2014
sirus: Stable and Interpretable RUle Set (Version 0.3.3)

2019
smallstuff: Dr. Small's Functions (Version 1.0.3)

2022
sperrorest: Perform Spatial Error Estimation and Variable Importance Assessment (Version 3.0.5)

2012
swa: Subsampling Winner Algorithm for Classification (Version 0.8.1)

2017
tmle: Targeted Maximum Likelihood Estimation (Version 2.0.1.1)

2012
traineR: Predictive (Classification and Regression) Models Homologator (Version 2.2.0)

2019
utiml: Utilities for Multi-Label Learning (Version 0.1.7)

2016
vandalico: Evaluation of Presence-Absence Models (Version 0.1.0)

2022
vimp: Perform Inference on Algorithm-Agnostic Variable Importance (Version 2.3.3)

2018

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