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mccf1
View on CRAN: Click
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Download and install mccf1 package within the R console
Install from CRAN:
install.packages("mccf1")
Install from Github:
library("remotes")
install_github("cran/mccf1")
Install by package version:
library("remotes")
install_version("mccf1", "1.1")
Attach the package and use:
library("mccf1")
Maintained by
Chang Cao
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[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.mccf1 . https://stackoverflow.com/questions/tagged/mccf1 . https://bitbucket.org/hoffmanlab/mccf1/ . mccf1 results . mccf1.pdf . mccf1_1.1.tar.gz . mccf1_1.1.zip . mccf1_1.1.zip . mccf1_1.1.zip . mccf1_1.1.tgz . mccf1_1.1.tgz . mccf1_1.1.tgz . mccf1_1.1.tgz . mccf1_1.1.tgz . mccf1_1.1.tgz . mccf1 archive . https://CRAN.R-project.org/package=mccf1 .
First Published: 2018-08-13
Latest Update: 2019-11-11
Description:
The MCC-F1 analysis is a method to evaluate the performance of binary classifications.
The MCC-F1 curve is more reliable than the Receiver Operating Characteristic (ROC) curve and the Precision-Recall (PR)curve under imbalanced ground truth.
The MCC-F1 analysis also provides the MCC-F1 metric that integrates classifier performance over varying thresholds, and the best threshold of binary classification.
How to cite:
Chang Cao (2018). mccf1: Creates the MCC-F1 Curve and Calculates the MCC-F1 Metric and the Best Threshold. R package version 1.1, https://cran.r-project.org/web/packages/mccf1. Accessed 11 Apr. 2025.
Previous versions and publish date:
1.0 (2018-08-13 16:40)
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Complete documentation for mccf1
Functions, R codes and Examples using
the mccf1 R package
Some associated functions: autoplot.mccf1 . mccf1 . summary.mccf1 .
Some associated R codes: mccf1.R . Full mccf1 package functions and examples
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