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:Peijian Shi [aut, cre], Peter M. Ridland [aut], David A. Ratkowsky [aut], Yang Li [aut]

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 = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • crops - Whole-plant biomass Data of 12 Species of Crops
  • isom - Data on Biochemical Oxygen Demand
  • leaves - Leaf Data of _Parrotia subaequalis_
  • shoots - Height Growth Data of Bamboo Shoots

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.86 score 12 scripts 272 downloads 3 mentions 10 exports 2 dependencies

Last updated 10 months agofrom:c6f9b10b7d. Checks:OK: 1 NOTE: 1. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 09 2024
R-4.5-linuxNOTENov 09 2024

Exports:aicbiasIPECbicbootIPECconfcurvescurvIPECderivIPECfitIPECparinfoskewIPEC

Dependencies:MASSnumDeriv