Root Mean Square Curvature Calculation
Akaike Information Criterion (AIC) Calculation Function
Bias Calculation Function
Bayesian Information Criterion (BIC) Calculation Function
Bootstrap Function for Nonlinear Regression
Wald Confidence Curves and the Likelihood Confidence Curves
RMS Curvature Calculation Function
Derivative Calculation Function
Nonlinear Fitting Function
Root Mean Square Curvature Calculation
Detailed Information of Estimated Model Parameters
Skewness Calculation Function
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.