50% off | Unlimited Data & AI Learning

Last chance! 50% off unlimited learning

Sale ends in

Learn R Programming

IPEC (version 1.1.0)

Root Mean Square Curvature Calculation

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.

Copy Link

Version

Install

install.packages('IPEC')

Monthly Downloads

177

Version

1.1.0

License

GPL (>= 2)

Maintainer

Peijian Shi

Last Published

January 13th, 2024

Functions in IPEC (1.1.0)

fitIPEC

Nonlinear Fitting Function
bic

Bayesian Information Criterion (BIC) Calculation Function
IPEC-package

Root Mean Square Curvature Calculation
curvIPEC

RMS Curvature Calculation Function
crops

Whole-plant biomass Data of 12 Species of Crops
biasIPEC

Bias Calculation Function
bootIPEC

Bootstrap Function for Nonlinear Regression
confcurves

Wald Confidence Curves and the Likelihood Confidence Curves
aic

Akaike Information Criterion (AIC) Calculation Function
derivIPEC

Derivative Calculation Function
isom

Data on Biochemical Oxygen Demand
parinfo

Detailed Information of Estimated Model Parameters
skewIPEC

Skewness Calculation Function
shoots

Height Growth Data of Bamboo Shoots
leaves

Leaf Data of Parrotia subaequalis (Hamamelidaceae)