Package: kvr2 0.2.0.9000

kvr2: Calculate and Compare Multiple Definitions of Coefficient of Determination

Calculate nine types of coefficients of determination (R-squared) based on the classification by Kvalseth (1985) <doi:10.1080/00031305.1985.10479448>. This package is designed for educational purposes to demonstrate how R-squared values can fluctuate depending on the choice of formula, particularly in power regression models or linear models without an intercept. By providing a comprehensive list of definitions, it helps users understand the mathematical sensitivity of goodness-of-fit indices.

Authors:Mao Kobayashi [aut, cre]

kvr2_0.2.0.9000.tar.gz
kvr2_0.2.0.9000.zip(r-4.7)kvr2_0.2.0.9000.zip(r-4.6)kvr2_0.2.0.9000.zip(r-4.5)
kvr2_0.2.0.9000.tgz(r-4.6-any)kvr2_0.2.0.9000.tgz(r-4.5-any)
kvr2_0.2.0.9000.tar.gz(r-4.7-any)kvr2_0.2.0.9000.tar.gz(r-4.6-any)
kvr2_0.2.0.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
kvr2/json (API)
NEWS

# Install 'kvr2' in R:

install.packages('kvr2', repos = c('https://indenkun.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/indenkun/kvr2/issues

Pkgdown/docs site:https://indenkun.github.io

On CRAN:

4.60 score 1 stars 9 scripts 162 downloads 19 exports 30 dependencies

Last updated from:5df8d5dc85. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	144
source / vignettes	OK	194
linux-release-x86_64	OK	144
macos-release-arm64	OK	159
macos-oldrel-arm64	OK	167
windows-devel	OK	87
windows-release	OK	93
windows-oldrel	OK	80
wasm-release	OK	97

Exports:comp_fit comp_model MAE model_info MSE plot_diagnostic plot_kvr2 r2 r2_1 r2_2 r2_3 r2_4 r2_5 r2_6 r2_7 r2_8 r2_9 r2_adjusted RMSE

Dependencies:cli cpp11 dplyr farver generics ggplot2 glue gtable insight isoband labeling lifecycle magrittr pillar pkgconfig purrr R6 RColorBrewer rlang S7 scales stringi stringr tibble tidyr tidyselect utf8 vctrs viridisLite withr

Internal Design

Rendered frominternal-design.Rmdusingknitr::rmarkdownon May 10 2026.

Last update: 2026-03-10
Started: 2026-02-24

The Pitfalls of R-squared: Understanding Mathematical Sensitivity

Rendered fromPitfalls_of_R2.Rmdusingknitr::rmarkdownon May 10 2026.

Last update: 2026-03-10
Started: 2026-02-05

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Calculate Comparative Fit Measures for Regression Models	comp_fit MAE MSE RMSE
Contrast R-squared Definitions: Intercept vs. No-Intercept	comp_model
Get Model Information Used for Calculations	model_info
Plot Observed vs Predicted Values	plot_diagnostic
Plot Method for Kvalseth's R-squared Objects	plot_kvr2
Plot Comparison of Model Specifications	plot.comp_model
Plot Method for r2_kvr2 Objects	plot.r2_kvr2
Print Method for Model Comparison Objects	print.comp_model
Print Methods for r2 and comp_fit calculation Objects	print.comp_kvr2 print.r2_kvr2
Calculate Multiple Definitions of Coefficient of Determination (R-squared)	r2 r2_1 r2_2 r2_3 r2_4 r2_5 r2_6 r2_7 r2_8 r2_9
Calculate the Adjusted Determination Coefficient	r2_adjusted