pROC: Display and Analyze ROC Curves

Canonical link: https://rscholar.com/pkg/pROC

Xavier Robin • Natacha Turck • Alexandre Hainard • Natalia Tiberti • Frédérique Lisacek • Jean-Charles Sanchez • Markus Müller • Stefan Siegert • Matthias Doering • Zane Billings • View description and downloads View dependencies GitHub project

2010 Published

1.18.5 Version

0 Citations

10 Authors

Referenced by ⇅	Year
Biocomb: Feature Selection and Classification with the Embedded Validation Procedures for Biomedical Data Analysis (Version 0.4)	2015
GmAMisc: "Gianmarco Alberti" Miscellaneous (Version 1.2.1)	2018
gren: Adaptive Group-Regularized Logistic Elastic Net Regression (Version 0.0.1)	2018
jlsm: Joint Latent Space Model for Social Networks with Multivariate Attributes (Version 0.1.0)	2021
scoringTools: Credit Scoring Tools (Version 0.1.3)	2020
TwoRegression: Develop and Apply Two-Regression Algorithms (Version 1.0.0)	2018
chemmodlab: A Cheminformatics Modeling Laboratory for Fitting and Assessing Machine Learning Models (Version 2.0.0)	2017
visualpred: Visualization 2D of Binary Classification Models (Version 0.1.0)	2020
MiDA: Microarray Data Analysis (Version 0.1.2)	2019
MiMIR: Metabolomics-Based Models for Imputing Risk (Version 1.5)	2022
MiRNAQCD: Micro-RNA Quality Control and Diagnosis (Version 1.1.3)	2020
elo: Ranking Teams by Elo Rating and Comparable Methods (Version 3.0.2)	2017
ensemblepp: Ensemble Postprocessing Data Sets (Version 1.0-0)	2017
AutoScore: An Interpretable Machine Learning-Based Automatic Clinical Score Generator (Version 1.0.0)	2021
BDgraph: Bayesian Structure Learning in Graphical Models using Birth-Death MCMC (Version 2.73)	2012
BioPET: Biomarker Prognostic Enrichment Tool (Version 0.2.2)	2016
BioPred: An R Package for Biomarkers Analysis in Precision Medicine (Version 1.0.1)	2024
BuyseTest: Generalized Pairwise Comparisons (Version 3.0.5)	2016
CalibratR: Mapping ML Scores to Calibrated Predictions (Version 0.1.2)	2018
CoOL: Causes of Outcome Learning (Version 1.1.2)	2021
CompMix: A Comprehensive Toolkit for Environmental Mixtures Analysis ('CompMix') (Version 0.1.0)	2024
DSAM: Data Splitting Algorithms for Model Developments (Version 1.0.2)	2023
Dtableone: Tabular Comparison of Paired Diagnostic Tests (Version 1.1.0)	2024
EFS: Tool for Ensemble Feature Selection (Version 1.0.3)	2016
EQUALSTATS: Algorithm Driven Statistical Analysis for Researchers without Coding Skills (Version 0.5.0)	2024
FRESA.CAD: Feature Selection Algorithms for Computer Aided Diagnosis (Version 3.4.8)	2014
FeatureHashing: Creates a Model Matrix via Feature Hashing with a Formula Interface (Version 0.9.2)	2014
HMTL: Heterogeneous Multi-Task Feature Learning (Version 0.1.0)	2023
Hmsc: Hierarchical Model of Species Communities (Version 3.0-13)	2019
Immigrate: Iterative Max-Min Entropy Margin-Maximization with Interaction Terms for Feature Selection (Version 0.2.1)	2018
LEGIT: Latent Environmental & Genetic InTeraction (LEGIT) Model (Version 1.4.1)	2017
LKT: Logistic Knowledge Tracing (Version 1.7.0)	2021
MBMethPred: Medulloblastoma Subgroups Prediction (Version 0.1.4.2)	2022
MSiP: 'MassSpectrometry' Interaction Prediction (Version 1.3.7)	2021
MUVR2: Multivariate Methods with Unbiased Variable Selection (Version 0.1.0)	2024
ModTools: Building Regression and Classification Models (Version 0.9.13)	2021
MultiClassROC: ROC Curves for Multi-Class Analysis (Version 0.1.0)	2023
NicheBarcoding: Niche-model-Based Species Identification (Version 1.0)	2021
PMAPscore: Identify Prognosis-Related Pathways Altered by Somatic Mutation (Version 0.1.1)	2022
PSS.Health: Power and Sample Size for Health Researchers via Shiny (Version 1.0.2)	2020
ROCaggregator: Aggregate Multiple ROC Curves into One Global ROC (Version 1.0.1)	2021
ROCpsych: Compute and Compare Diagnostic Test Statistics Across Groups (Version 1.3)	2020
RQdeltaCT: Relative Quantification of Gene Expression using Delta Ct Methods (Version 1.3.0)	2024
RatingScaleReduction: Rating Scale Reduction Procedure (Version 1.4)	2017
RcmdrPlugin.EZR: R Commander Plug-in for the EZR (Easy R) Package (Version 1.68)	2013
RcmdrPlugin.ROC: Rcmdr Receiver Operator Characteristic Plug-in Package (Version 1.0-19)	2014
RegAssure: Streamlined Integration of Regression Assumption (Version 1.0.0)	2023
Rforestry: Random Forests, Linear Trees, and Gradient Boosting for Inference and Interpretability (Version 0.10.0)	2021
SAMGEP: A Semi-Supervised Method for Prediction of Phenotype Event Times (Version 0.1.0-1)	2021
SCGLR: Supervised Component Generalized Linear Regression (Version 3.0)	2013
SmCCNet: Sparse Multiple Canonical Correlation Network Analysis Tool (Version 2.0.3)	2019
StratifiedMedicine: Stratified Medicine (Version 1.0.5)	2019
ThresholdROC: Optimum Threshold Estimation (Version 2.9.4)	2011
ThresholdROCsurvival: Diagnostic Ability Assessment with Right-Censored Data at a Fixed Time t (Version 1.2.1)	2022
TrendInTrend: Odds Ratio Estimation and Power Calculation for the Trend in Trend Model (Version 1.1.3)	2016
WeightedROC: Fast, Weighted ROC Curves (Version 2020.1.31)	2017
aplore3: Datasets from Hosmer, Lemeshow and Sturdivant, "Applied Logistic Regression" (3rd Ed., 2013) (Version 0.9)	2014
arsenal: An Arsenal of 'R' Functions for Large-Scale Statistical Summaries (Version 3.6.3)	2016
bbl: Boltzmann Bayes Learner (Version 1.0.0)	2019
betaclust: A Family of Beta Mixture Models for Clustering Beta-Valued DNA Methylation Data (Version 1.0.4)	2022
biomod2: Ensemble Platform for Species Distribution Modeling (Version 4.2-5-2)	2012
biospear: Biomarker Selection in Penalized Regression Models (Version 1.0.2)	2017
bst: Gradient Boosting (Version 0.3-24)	2011
caret: Classification and Regression Training (Version 6.0-94)	2007
cassandRa: Finds Missing Links and Metric Confidence Intervals in Ecological Bipartite Networks (Version 0.2.0)	2019
clintools: Tools for Clinical Research (Version 0.9.10.1)	2021
coda4microbiome: Compositional Data Analysis for Microbiome Studies (Version 0.2.4)	2022
codacore: Learning Sparse Log-Ratios for Compositional Data (Version 0.0.4)	2022
combiroc: Selection and Ranking of Omics Biomarkers Combinations Made Easy (Version 0.3.4)	2021
cvms: Cross-Validation for Model Selection (Version 1.6.2)	2019
dtComb: Statistical Combination of Diagnostic Tests (Version 1.0.4)	2023
easy.glmnet: Functions to Simplify the Use of 'glmnet' for Machine Learning (Version 1.0)	2024
ebmc: Ensemble-Based Methods for Class Imbalance Problem (Version 1.0.1)	2017
eclust: Environment Based Clustering for Interpretable Predictive Models in High Dimensional Data (Version 0.1.0)	2017
ecpc: Flexible Co-Data Learning for High-Dimensional Prediction (Version 3.1.1)	2021
fairness: Algorithmic Fairness Metrics (Version 1.2.2)	2019
finalfit: Quickly Create Elegant Regression Results Tables and Plots when Modelling (Version 1.0.8)	2018
fscaret: Automated Feature Selection from 'caret' (Version 0.9.4.4)	2013
funkycells: Functional Data Analysis for Multiplexed Cell Images (Version 1.1.1)	2023
glossa: User-Friendly 'shiny' App for Bayesian Species Distribution Models (Version 1.0.0)	2024
hsstan: Hierarchical Shrinkage Stan Models for Biomarker Selection (Version 0.8.2)	2019
idiolect: Forensic Authorship Analysis (Version 1.0.1)	2024
immunaut: Machine Learning Immunogenicity and Vaccine Response Analysis (Version 1.0.1)	2024
inferCSN: Inferring Cell-Specific Gene Regulatory Network (Version 1.0.8)	2023
interflex: Multiplicative Interaction Models Diagnostics and Visualization (Version 1.2.6)	2017
jsmodule: 'RStudio' Addins and 'Shiny' Modules for Medical Research (Version 1.5.9)	2019
kgraph: Knowledge Graphs Constructions and Visualizations (Version 1.0.0)	2024
lares: Analytics & Machine Learning Sidekick (Version 5.2.9)	2021
lilikoi: Metabolomics Personalized Pathway Analysis Tool (Version 2.1.1)	2018
liver: "Eating the Liver of Data Science" (Version 1.16)	2020
logitFD: Functional Principal Components Logistic Regression (Version 1.0)	2022
lsirm12pl: Latent Space Item Response Model (Version 1.3.3)	2022
mcca: Multi-Category Classification Accuracy (Version 0.7.0)	2017
mcradds: Processing and Analyzing of Diagnostics Trials (Version 1.1.1)	2023
metamisc: Meta-Analysis of Diagnosis and Prognosis Research Studies (Version 0.4.0)	2012
miceafter: Data and Statistical Analyses after Multiple Imputation (Version 0.5.0)	2021
mildsvm: Multiple-Instance Learning with Support Vector Machines (Version 0.4.0)	2022
mixvlmc: Variable Length Markov Chains with Covariates (Version 0.2.1)	2023
mldr: Exploratory Data Analysis and Manipulation of Multi-Label Data Sets (Version 0.4.3)	2015
moreparty: A Toolbox for Conditional Inference Trees and Random Forests (Version 0.4)	2020
multid: Multivariate Difference Between Two Groups (Version 1.0.0)	2021
multiridge: Fast Cross-Validation for Multi-Penalty Ridge Regression (Version 1.11)	2021
multisite.accuracy: Estimation of Accuracy in Multisite Machine-Learning Models (Version 1.3)	2021
neatStats: Neat and Painless Statistical Reporting (Version 1.13.3)	2020
nestedcv: Nested Cross-Validation with 'glmnet' and 'caret' (Version 0.7.10)	2022
nestfs: Cross-Validated (Nested) Forward Selection (Version 1.0.3)	2018
nonet: Weighted Average Ensemble without Training Labels (Version 0.4.0)	2018
oncrawlR: Machine Learning for S.E.O (Version 0.2.0)	2019
oscar: Optimal Subset Cardinality Regression (OSCAR) Models Using the L0-Pseudonorm (Version 1.2.1)	2022
packMBPLSDA: Multi-Block Partial Least Squares Discriminant Analysis (Version 0.9.0)	2019
palasso: Sparse Regression with Paired Covariates (Version 1.0.0)	2018
pathwayTMB: Pathway Based Tumor Mutational Burden (Version 0.1.3)	2021
persDx: Personalized Diagnostics Rules for Subgroup Identification and Personalized Biomarker Discovery (Version 0.5.0)	2022
planningML: A Sample Size Calculator for Machine Learning Applications in Healthcare (Version 1.0.1)	2022
pmvalsampsize: Sample Size for External Validation of a Prediction Model (Version 0.1.0)	2023
pomodoro: Predictive Power of Linear and Tree Modeling (Version 3.8.0)	2022
pre: Prediction Rule Ensembles (Version 1.0.7)	2016
predRupdate: Prediction Model Validation and Updating (Version 0.2.0)	2023
predtools: Prediction Model Tools (Version 0.0.3)	2021
prioritylasso: Analyzing Multiple Omics Data with an Offset Approach (Version 0.3.1)	2017
promor: Proteomics Data Analysis and Modeling Tools (Version 0.2.1)	2022
psfmi: Prediction Model Pooling, Selection and Performance Evaluation Across Multiply Imputed Datasets (Version 1.4.0)	2019
qeML: Quick and Easy Machine Learning Tools (Version 1.1)	2023
r4lineups: Statistical Inference on Lineup Fairness (Version 0.1.1)	2018
randomUniformForest: Random Uniform Forests for Classification, Regression and Unsupervised Learning (Version 1.1.6)	2014
reportROC: An Easy Way to Report ROC Analysis (Version 3.6)	2017
rgm: Advanced Inference with Random Graphical Models (Version 1.0.4)	2024
riskRegression: Risk Regression Models and Prediction Scores for Survival Analysis with Competing Risks (Version 2023.12.21)	2011
rocbc: Statistical Inference for Box-Cox Based Receiver Operating Characteristic Curves (Version 3.1.0)	2022
roccv: ROC for Cross Validation Results (Version 1.2)	2016
sambia: A Collection of Techniques Correcting for Sample Selection Bias (Version 0.1.0)	2018
sccore: Core Utilities for Single-Cell RNA-Seq (Version 1.0.5)	2020
sivs: Stable Iterative Variable Selection (Version 0.2.10)	2020
smdi: Perform Structural Missing Data Investigations (Version 0.3.1)	2023
spmodel: Spatial Statistical Modeling and Prediction (Version 0.8.0)	2022
stackgbm: Stacked Gradient Boosting Machines (Version 0.1.0)	2024
statVisual: Statistical Visualization Tools (Version 1.2.1)	2019
stepPenal: Stepwise Forward Variable Selection in Penalized Regression (Version 0.2)	2016
sureLDA: A Novel Multi-Disease Automated Phenotyping Method for the EHR (Version 0.1.0-1)	2020
swag: Sparse Wrapper Algorithm (Version 0.1.0)	2020
tpAUC: Estimation and Inference of Two-Way pAUC, pAUC and pODC (Version 2.1.1)	2016
triptych: Diagnostic Graphics to Evaluate Forecast Performance (Version 0.1.3)	2023
varoc: Value Added Receiver Operating Characteristics Curve (Version 0.2.0)	2023
wevid: Quantifying Performance of a Binary Classifier Through Weight of Evidence (Version 0.6.2)	2018
xtune: Regularized Regression with Feature-Specific Penalties Integrating External Information (Version 2.0.0)	2019

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.