Package: prcbench 1.1.8

Takaya Saito

prcbench: Testing Workbench for Precision-Recall Curves

A testing workbench to evaluate tools that calculate precision-recall curves. Saito and Rehmsmeier (2015) <doi:10.1371/journal.pone.0118432>.

Authors:Takaya Saito [aut, cre], Marc Rehmsmeier [aut]

prcbench_1.1.8.tar.gz
prcbench_1.1.8.zip(r-4.5)prcbench_1.1.8.zip(r-4.4)prcbench_1.1.8.zip(r-4.3)
prcbench_1.1.8.tgz(r-4.4-x86_64)prcbench_1.1.8.tgz(r-4.4-arm64)prcbench_1.1.8.tgz(r-4.3-x86_64)prcbench_1.1.8.tgz(r-4.3-arm64)
prcbench_1.1.8.tar.gz(r-4.5-noble)prcbench_1.1.8.tar.gz(r-4.4-noble)
prcbench_1.1.8.tgz(r-4.4-emscripten)prcbench_1.1.8.tgz(r-4.3-emscripten)
prcbench.pdf |prcbench.html✨
prcbench/json (API)
NEWS

# Install 'prcbench' in R:

install.packages('prcbench', repos = c('https://evalclass.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/evalclass/prcbench/issues

Uses libs:

c++– GNU Standard C++ Library v3

Datasets:

C1DATA - C1: Pre-calculated Precision-Recall curve
C2DATA - C2: Pre-calculated Precision-Recall curve
C3DATA - C3: Pre-calculated Precision-Recall curve
C4DATA - C4: Pre-calculated Precision-Recall curve

On CRAN:

4.72 score 5 stars 21 scripts 269 downloads 1 mentions 16 exports 43 dependencies

Last updated 2 years agofrom:012ac61f5a. Checks:OK: 9. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Nov 01 2024
R-4.5-win-x86_64	OK	Nov 01 2024
R-4.5-linux-x86_64	OK	Nov 01 2024
R-4.4-win-x86_64	OK	Nov 01 2024
R-4.4-mac-x86_64	OK	Nov 01 2024
R-4.4-mac-aarch64	OK	Nov 01 2024
R-4.3-win-x86_64	OK	Nov 01 2024
R-4.3-mac-x86_64	OK	Nov 01 2024
R-4.3-mac-aarch64	OK	Nov 01 2024

Exports:autoplot create_example_func create_testset create_toolset create_usrdata create_usrtool run_benchmark run_evalcurve TestDataB TestDataC ToolAUCCalculator ToolIFBase ToolPerfMeas Toolprecrec ToolPRROC ToolROCR

Dependencies:assertthat bitops cachem caTools cli colorspace data.table fansi farver fastmap ggplot2 glue gplots gridExtra gtable gtools isoband KernSmooth labeling lattice lifecycle magrittr MASS Matrix memoise mgcv munsell nlme pillar pkgconfig precrec PRROC R6 RColorBrewer Rcpp rlang ROCR scales tibble utf8 vctrs viridisLite withr

Introduction to prcbench

Rendered fromintroduction.Rmdusingknitr::rmarkdownon Nov 01 2024.

Last update: 2023-03-12
Started: 2015-12-24

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Plot the result of Precision-Recall curve evaluation	autoplot autoplot.evalcurve
C1: Pre-calculated Precision-Recall curve	C1DATA
C2: Pre-calculated Precision-Recall curve	C2DATA
C3: Pre-calculated Precision-Recall curve	C3DATA
C4: Pre-calculated Precision-Recall curve	C4DATA
Create an example for the func argument of the create_usrtool function	create_example_func
Create a list of test datasets	create_testset
Create a set of tools	create_toolset
Create a user-defined test dataset	create_usrdata
Create a set of tools	create_usrtool
prcbench: A package to provide a testing workbench for precision-recall curves	prcbench
Run microbenchmark with specified tools and test sets	run_benchmark
Evaluate Precision-Recall curves with specified tools and test sets	run_evalcurve
TestDataB	TestDataB
TestDataC	TestDataC
ToolAUCCalculator	ToolAUCCalculator
ToolIFBase	ToolIFBase
ToolPerfMeas	ToolPerfMeas
Toolprecrec	Toolprecrec
ToolPRROC	ToolPRROC
ToolROCR	ToolROCR

Usage by other packages (reverse dependencies)