Try solve.polynomial in package polynom
Ramzi
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Hello,
I am getting a warning message in GAMLSS and have not been able to figure
out what the problem is, or if
it is something I should be concerned about.
I fit the following 4 models and find that fit2.bcpe is the one with the
lowest AIC
fit1.bcpe = gamlss(y~pb(x),
In case anyone else is interested... I just found another solution, which has
some pros and cons compared to Dennis' solution...
plot(comparePred(fit.lme, update(fit.lme, y ~ log(age
# Pros - Automatically adds a legend
# Cons - Only works for comparing two models
# Dennis' solution extends t
Thank you! Exactly what I wanted.
Ramzi
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