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IPEC  

Root Mean Square Curvature Calculation
View on CRAN: Click here


Download and install IPEC package within the R console
Install from CRAN:
install.packages("IPEC")

Install from Github:
library("remotes")
install_github("cran/IPEC")

Install by package version:
library("remotes")
install_version("IPEC", "1.1.2")



Attach the package and use:
library("IPEC")
Maintained by
Peijian Shi
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-05-10
Latest Update: 2025-07-23
Description:
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) and Ratkowsky and Reddy (2017) for details.
How to cite:
Peijian Shi (2017). IPEC: Root Mean Square Curvature Calculation. R package version 1.1.2, https://cran.r-project.org/web/packages/IPEC. Accessed 08 Aug. 2026.
Previous versions and publish date:
0.0.8 (2017-05-10 13:26), 0.0.9 (2017-05-14 19:29), 0.1.0 (2018-07-03 10:40), 0.1.1 (2018-08-19 10:00), 0.1.2 (2018-08-19 18:00), 0.1.3 (2020-06-27 06:20), 1.0.1 (2022-05-17 19:00), 1.0.3 (2022-05-24 12:40), 1.0.4 (2023-08-22 10:20), 1.0.5 (2023-10-30 07:50), 1.0.6 (2023-12-02 06:10), 1.1.0 (2024-01-13 17:50), 1.1.1 (2025-07-23 10:50), (2026-07-09 08:07)
Other packages that cited IPEC R package
View IPEC citation profile
Other R packages that IPEC depends, imports, suggests or enhances
Complete documentation for IPEC
Functions, R codes and Examples using the IPEC R package
Some associated functions: IPEC . aic . biasIPEC . bic . bootIPEC . crops . curvIPEC . derivIPEC . fitIPEC . isom . leaves . shoots . skewIPEC . 
Some associated R codes: aic.R . biasIPEC.R . bic.R . bootIPEC.R . curvIPEC.R . derivIPEC.R . fitIPEC.R . skewIPEC.R .  Full IPEC package functions and examples
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