| hSkew {wnl} | R Documentation |
Hougaard Measure of Skewness
Description
Hougaard measure of skewness with nonlinear regression
Usage
hSkew(rx)
Arguments
rx |
a result of nls function |
Details
Hougaard measure of skewness can be used to check if the parameters of nonlinear regression behavior in linear fashion, i.e. symmetric confidence interval. Be cautious on the variable name conflict. All the variables in the nonlinear function should be able to be accessed by the function.
Value
Hougaard estimate of skewness for each parameter
(0, 0.1] |
The estimate is very close-to-linear in behavior. |
(0.1, 0.25] |
The estimate is reasonably close-to-linear in behavior. |
(0.25, 1] |
The skweness is apparent. |
>1 |
The estimate is considerably nonlinear in behavior. |
Author(s)
Kyun-Seop Bae k@acr.kr
References
EL-Shehawy SA. On Calculating the Hougaard Measure of Skewness in a Nonlinear Regression Model with Two Parameters. J Math & Stat. 2009;5(4):360-364.
Examples
r1 = nls(density ~ b1*conc/(b2 + conc), DNase[DNase$Run == 1, ], start=list(b1=3, b2=5))
hSkew(r1)