Package: lin.eval 0.1.2
lin.eval: Perform Polynomial Evaluation of Linearity
Evaluates whether the relationship between two vectors is linear or nonlinear. Performs a test to determine how well a linear model fits the data compared to higher order polynomial models. Jhang et al. (2004) <doi:10.1043/1543-2165(2004)128%3C44:EOLITC%3E2.0.CO;2>.
Authors:
lin.eval_0.1.2.tar.gz
lin.eval_0.1.2.zip(r-4.5)lin.eval_0.1.2.zip(r-4.4)lin.eval_0.1.2.zip(r-4.3)
lin.eval_0.1.2.tgz(r-4.4-any)lin.eval_0.1.2.tgz(r-4.3-any)
lin.eval_0.1.2.tar.gz(r-4.5-noble)lin.eval_0.1.2.tar.gz(r-4.4-noble)
lin.eval_0.1.2.tgz(r-4.4-emscripten)lin.eval_0.1.2.tgz(r-4.3-emscripten)
lin.eval.pdf |lin.eval.html✨
lin.eval/json (API)
# Install 'lin.eval' in R: |
install.packages('lin.eval', repos = c('https://vishesh-shrivastav.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/vishesh-shrivastav/lin.eval/issues
linear-regressionlinearitypolynomial-regression
Last updated 5 years agofrom:7b345e1eba. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Sep 12 2024 |
R-4.5-win | OK | Sep 12 2024 |
R-4.5-linux | OK | Sep 12 2024 |
R-4.4-win | OK | Sep 12 2024 |
R-4.4-mac | OK | Sep 12 2024 |
R-4.3-win | OK | Sep 12 2024 |
R-4.3-mac | OK | Sep 12 2024 |
Exports:calculate_adlpoly_eval
Dependencies:backportsbroomclicpp11dplyrfansigenericsgluelifecyclemagrittrpillarpkgconfigpurrrR6rlangstringistringrtibbletidyrtidyselectutf8vctrswithr