Package: IPEC 1.1.0

Peijian Shi
IPEC: Root Mean Square Curvature Calculation
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.
Authors:
IPEC_1.1.0.tar.gz
IPEC_1.1.0.tar.gz(r-4.5-noble)IPEC_1.1.0.tar.gz(r-4.4-noble)
IPEC_1.1.0.tgz(r-4.4-emscripten)IPEC_1.1.0.tgz(r-4.3-emscripten)
IPEC.pdf |IPEC.html✨
IPEC/json (API)
# Install 'IPEC' in R: |
install.packages('IPEC', repos = 'https://cloud.r-project.org') |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 1 years agofrom:c6f9b10b7d. Checks:2 OK, 1 NOTE. Indexed: yes.
Target | Result | Latest binary |
---|---|---|
Doc / Vignettes | OK | Mar 09 2025 |
R-4.5-linux | NOTE | Mar 09 2025 |
R-4.4-linux | OK | Mar 09 2025 |
Exports:aicbiasIPECbicbootIPECconfcurvescurvIPECderivIPECfitIPECparinfoskewIPEC
Citation
To cite package ‘IPEC’ in publications use:
Shi P, Ridland P, Ratkowsky D, Li Y (2024). IPEC: Root Mean Square Curvature Calculation. R package version 1.1.0, https://CRAN.R-project.org/package=IPEC.
Corresponding BibTeX entry:
@Manual{, title = {IPEC: Root Mean Square Curvature Calculation}, author = {Peijian Shi and Peter M. Ridland and David A. Ratkowsky and Yang Li}, year = {2024}, note = {R package version 1.1.0}, url = {https://CRAN.R-project.org/package=IPEC}, }