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IPEC
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", "1.1.0")
Attach the package and use:
library("IPEC")
Maintained by
Peijian Shi
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-05-10
Latest Update: 2023-08-22
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 1.1.0, https://cran.r-project.org/web/packages/IPEC. Accessed 15 May. 2025.
Previous versions and publish date:
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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