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:Vishesh Shrivastav

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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'))

Peer review:

Bug tracker:https://github.com/vishesh-shrivastav/lin.eval/issues

On CRAN:

linear-regressionlinearitypolynomial-regression

2 exports 0.62 score 23 dependencies 3 scripts 123 downloads

Last updated 5 years agofrom:7b345e1eba. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 12 2024
R-4.5-winOKSep 12 2024
R-4.5-linuxOKSep 12 2024
R-4.4-winOKSep 12 2024
R-4.4-macOKSep 12 2024
R-4.3-winOKSep 12 2024
R-4.3-macOKSep 12 2024

Exports:calculate_adlpoly_eval

Dependencies:backportsbroomclicpp11dplyrfansigenericsgluelifecyclemagrittrpillarpkgconfigpurrrR6rlangstringistringrtibbletidyrtidyselectutf8vctrswithr

Understanding polynomial evaluation of linearity

Rendered fromlin_eval.Rmdusingknitr::rmarkdownon Sep 12 2024.

Last update: 2019-02-11
Started: 2019-02-11