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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>.
| Version: | 0.1.2 |
| Imports: | broom |
| Suggests: | knitr |
| Published: | 2019-02-22 |
| DOI: | 10.32614/CRAN.package.lin.eval |
| Author: | Vishesh Shrivastav |
| Maintainer: | Vishesh Shrivastav <vishesh2k6 at gmail.com> |
| License: | MIT + file LICENSE |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | lin.eval results |
| Reference manual: | lin.eval.pdf |
| Vignettes: |
Understanding polynomial evaluation of linearity |
| Package source: | lin.eval_0.1.2.tar.gz |
| Windows binaries: | r-devel: lin.eval_0.1.2.zip, r-release: lin.eval_0.1.2.zip, r-oldrel: lin.eval_0.1.2.zip |
| macOS binaries: | r-release (arm64): lin.eval_0.1.2.tgz, r-oldrel (arm64): lin.eval_0.1.2.tgz, r-release (x86_64): lin.eval_0.1.2.tgz, r-oldrel (x86_64): lin.eval_0.1.2.tgz |
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These binaries (installable software) and packages are in development.
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