Hi there,
I'm a PhD student investigating growth patterns in fish. I've been using the
minpack.lm package to fit extended von Bertalanffy growth models that include
explanatory covariates (temperature and density). I found the nls.lm comand a
powerful tool to fit models with a lot of
I will consider putting methods for AIC and logLik into the next version
of minpack.lm (contributions welcome).
For now, the following should work for logLik, where 'object' is the
return value of nls.lm.
logLik.nls.lm - function(object, REML = FALSE, ...)
{
res - object$fvec
N -
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