Displaying 1 result from an estimated 1 matches for "lunarpercent".
2009 Feb 18
1
using stepAIC with negative binomial regression - error message help
...tric pressure), and tides (dummy variables for high, falling, low, and rising). So predictors are binary, categorical, and continuous variables. I ran glm.nb to fit my full model containing all first order terms. The model I ran was:
glm.nb.full<glm.nb(mantas~site+year+cosday+sinday+daylength+lunarpercent+sstmean+sststd+
sshmean+sshstd+cosdir+sindir+spd+temp+alt+tideht+high+falling+low+plankton)
However, when I use stepAIC on the model I get the message:
> stepAIC(glm.nb.full)
Start: AIC=19240.46
mantas ~ site + year + cosday + sinday + daylength + lunarpercent +
sstmean + sststd + sshm...