R help - Mar 2010 - R algorithm for maximum curvatures measures of nonlinear models

Hi all,

I'm looking for the algorithm to calculate maximum intrinsic and parameter
effects curvature of Bates & Watts (1980). I have Bates & Watts (1980)
original article, Bates et al (1983) article, Seber & Wild (1989) and
Ratkowsky (1983) books. Those sources show steps and algorithm to get this
measures but I don't know translate C code to R language and I've no
success until now.

I know and I use rms.curv() in MASS package but I would like the maximum
curvatures measures.

Does someone have this implemented in R? Or know some paper illustrating this
calculation with real data (but not so trivial) that can able me to create my
functions?

Thanks a lot.
Walmes Zeviani.

Bates; Hamilton; Watts. Calculation onf intrinsic and parameter-effects
curvatures for nonlinear models. Communications in statistics - simulations and
computation, 469-477, 1983.
Bates; Watts. Relative curvature measures of nonlinearity. Journal Royal
Statistical Society - B. 40, 1-25, 1980.
Seber; Wild. Nonlinear regression. Wiley, 1989.
Ratkowsky. Nonlinear regression modeling. Marcel Dekker, 1983.
 		 	   		  
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