ROCR: Visualizing the Performance of Scoring Classifiers

CRAN

ROCR: Visualizing the Performance of Scoring Classifiers

Package: ROCR
Authors@R: c(person("Tobias","Sing",
email = "tobias.sing@gmail.com",role="aut

getROC_PR: depends on ROCR

GITHUB

novasmedley/gbmSpm: Find predictive sequential patterns for clinical glioblastoma patients

R: depends on ROCR
getROC_PRR Documentation
depends on ROCR

EvaluateWithRocr: Evaluate With Rocr

GITHUB

citronmeliss/predictionpackr: Predictionpackr

R: Evaluate With Rocr
EvaluateWithRocrR Documentation
Evaluate With Rocr

rocr.plot: ROCR plotter

GITHUB

citronmeliss/predictionpackr: Predictionpackr

R: ROCR plotter
rocr.plotR Documentation
ROCR plotter

autoplot.performance: Autoplot 'ROCR::performance'

CRAN

ggfortify: Data Visualization Tools for Statistical Analysis Results

R: Autoplot 'ROCR::performance'
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function

performance.rocr: Create ROCR performance objects

CRAN

lulcc: Land Use Change Modelling in R

R: Create ROCR performance objects
performanceR Documentation
Create ROCR performance objects

performance.rocr: Create ROCR performance objects

GITHUB

simonmoulds/r_lulcc: Land Use Change Modelling in R

R: Create ROCR performance objects
performanceR Documentation
Create ROCR performance objects

create.ROCR.plots.v2: Create ROCR plots

GITHUB

citronmeliss/predictionpackr: Predictionpackr

R: Create ROCR plots
create.ROCR.plots.v2R Documentation
Create ROCR plots

evaluateROCR: Model testing with the ROCR package

GITHUB

rspatial/dismo: Species Distribution Modeling

R: Model testing with the ROCR package
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function

evaluateROCR: Model testing with the ROCR package

CRAN

dismo: Species Distribution Modeling

R: Model testing with the ROCR package
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function

evaluateROCR: Model testing with the ROCR package

RFORGE

dismo: Species Distribution Modeling

R: Model testing with the ROCR package
evaluateROCRR Documentation
Model testing with the ROCR package

auc: wraper of auc from ROCR

GITHUB

Rmomal/nestor: Network inference from Species counTs with missing actORs

R: wraper of auc from ROCR
aucR Documentation
wraper of auc from ROCR

auc: wraper of auc from ROCR

GITHUB

Rmomal/VEMtree: Network inference from Species counTs with missing actORs

R: wraper of auc from ROCR
aucR Documentation
wraper of auc from ROCR

create.ROCR.plots.v2: Create ROCR plots

GITHUB

itslwg/superlearnerr: Package for the SuperLearner vs clincians study

R: Create ROCR plots
create.ROCR.plots.v2R Documentation
Create ROCR plots

create.ROCR.plots.v2: Create ROCR plots

GITHUB

janejkanske/SupaLarna: Package for the SuperLearner vs clincians study

R: Create ROCR plots
create.ROCR.plots.v2R Documentation
Create ROCR plots

create.ROCR.plots.v2: Create ROCR plots

GITHUB

itslwg/SupaLarna: Package for the SuperLearner vs clincians study

R: Create ROCR plots
create.ROCR.plots.v2R Documentation
Create ROCR plots

mrdwab/TDAtools: A collection of functions written for students at the Tata-Dhan Academy

GITHUB

mrdwab/TDAtools: A collection of functions written for students at the Tata-Dhan Academy

Package: TDAtools
Type: Package
Title: A collection of functions written for students at the Tata-Dhan Academy

fortify.performance: Convert 'ROCR::performance' objects to 'data.frame'

CRAN

ggfortify: Data Visualization Tools for Statistical Analysis Results

R: Convert 'ROCR::performance' objects to 'data.frame'
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt

plotROC: ROCR functions for 'Modifier' and 'ModifierSet' objects

BIOC

RNAmodR: Detection of post-transcriptional modifications in high throughput sequencing data

R: ROCR functions for 'Modifier' and 'ModifierSet' objects
plotROCR Documentation
ROCR functions for Modifier

performance_measures: Performance measures for ROCR::prediction object

GITHUB

GegznaV/spHelper: Extension of Package `hyperSpec` and Various Convenience Functions

R: Performance measures for ROCR::prediction object
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt