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Calculates the RMS intrinsic and parameter-effects curvatures of a nonlinear regression model. The curvatures are global measures of assessing whether a model/data set combination is close-to-linear or not. See Bates and Watts (1980) <doi:10.1002/9780470316757> and Ratkowsky and Reddy (2017) <doi:10.1093/aesa/saw098> for details.
Package details |
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Author | Peijian Shi [aut, cre], Peter M. Ridland [aut], David A. Ratkowsky [aut], Yang Li [aut] |
Maintainer | Peijian Shi <pjshi@njfu.edu.cn> |
License | GPL (>= 2) |
Version | 1.0.5 |
Package repository | View on CRAN |
Installation |
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