Note that the recently released package nlsr by Duncan Murdoch and I has a slight update in the functions nlxb() and
nlfb() as well as a lot of features for symbolic derivative calculation.
JN
On 2017-03-21 06:57 AM, DANIEL PRECIADO wrote:
Dear list,
I want to use nlxb (package nlmrt) to fit different datasets to a gaussian,
obtain parameters (including standard error, t-and p-value) and confidence
intervals.
nlxb generates the parameters, but very often results in NA standard error,t-and
p-values. Furthermore, using confint() to obtain the confidence intervals generates
a : Error in vcov.default(object) : object does not have variance-covariance
matrix" erro.
Can someone indicate why is nlxb generating NAs (when nls has no problem with
them) and how to obtain confidence intervals from an nlmrt object?
Thanks
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