R Package Scholar
27,142

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

RPKG Scholar presents a tabulation of an author's contribution in the development of R packages stored in the Comprehensive R Archive Network (CRAN). Within this site, we consider package dependencies (suggests,imports,depends,enhances) as citations because we believe that using one's package to develop another is tantamount to citing the author of the package being imported, suggested or enhanced.

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