search for: fmms4sci

...ixture model with three emissions variables and one binomial covariate (HS). I am trying to compute confidence intervals using the following code, where fmms4s is the model: fmms4Svov <- vcov(fmms4S)$vcov #this line runs fine fmms4Sse <- standardError(fmms4S) #this is where I get the error fmms4SCI <- confint(fmms4S) This worked fine before I added the covariate, but with the covariate I receive a warning message: In sqrt(diag(vc$vcov)) : NaNs produced. As a result, several of my parameters have NaNs as CIs. In general, I get this error more frequently for more complex models (even when...

...gt; variables and one binomial covariate (HS). I am trying to compute > confidence intervals using the following code, where fmms4s is the > model: > > fmms4Svov <- vcov(fmms4S)$vcov #this line runs fine > fmms4Sse <- standardError(fmms4S) #this is where I get the error > fmms4SCI <- confint(fmms4S) > > This worked fine before I added the covariate, but with the covariate > I receive a warning message: In sqrt(diag(vc$vcov)) : NaNs produced. > As a result, several of my parameters have NaNs as CIs. In general, > I get this error more frequently for more c...