Other packages > Find by keyword >

staccuracy  

Standardized Accuracy and Other Model Performance Metrics
View on CRAN: Click here


Download and install staccuracy package within the R console
Install from CRAN:
install.packages("staccuracy")

Install from Github:
library("remotes")
install_github("cran/staccuracy")

Install by package version:
library("remotes")
install_version("staccuracy", "0.2.2")



Attach the package and use:
library("staccuracy")
Maintained by
Chitu Okoli
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-10-03
Latest Update: 2025-02-23
Description:
Standardized accuracy (staccuracy) is framework for expressing accuracy scores such that 50% represents a reference level of performance and 100% is perfect prediction. The 'staccuracy' package provides tools for creating staccuracy functions as well as some recommended staccuracy measures. It also provides functions for some classic performance metrics such as mean absolute error (MAE), root mean squared error (RMSE), and area under the receiver operating characteristic curve (AUCROC), as well as their winsorized versions when applicable.
How to cite:
Chitu Okoli (2024). staccuracy: Standardized Accuracy and Other Model Performance Metrics. R package version 0.2.2, https://cran.r-project.org/web/packages/staccuracy. Accessed 24 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:09), 0.1.0 (2024-10-03 21:10), 0.2.0 (2024-11-06 13:50)
Other packages that cited staccuracy R package
View staccuracy citation profile
Other R packages that staccuracy depends, imports, suggests or enhances
Complete documentation for staccuracy
Functions, R codes and Examples using the staccuracy R package
Full staccuracy package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

funprog  
Functional Programming
High-order functions for data manipulation : sort or group data, given one or more auxiliary func ...
Download / Learn more Package Citations See dependency  
OOBCurve  
Out of Bag Learning Curve
Provides functions to calculate the out-of-bag learning curve for random forests for any measure tha ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
visdat  
Preliminary Visualisation of Data
Create preliminary exploratory data visualisations of an entire dataset to identify problems or une ...
Download / Learn more Package Citations See dependency  
r3PG  
Simulating Forest Growth using the 3-PG Model
Provides a flexible and easy-to-use interface for the Physiological Processes Predicting Growth (3-P ...
Download / Learn more Package Citations See dependency  
RcmdrPlugin.depthTools  
R Commander Depth Tools Plug-in
We provide an Rcmdr plug-in based on the depthTools package, which implements different robust stat ...
Download / Learn more Package Citations See dependency  

29,218

R Packages

247,686

Dependencies

77,281

Author Associations

29,081

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA