Hi everyone,
I am fitting a bivariate smoothing model by using gam.
But I got an error message like this:
Error in eigen(hess1, symmetric = TRUE) : 0 x 0 matrix
- this is a known problem in mgcv 1.3-20 (an optimizer fails to cope with
convergence in one step). It's fixed in 1.3-21, which
Hello,
it's really difficult for anyone to make a constructive response based
on your message. The problem could be in:
1) the function you fit (which one is it?, and which package?)
2) the arguments that you supplied (what did you tell it to do?)
3) the data that you gave it (what are they?)
Warning in eval(expr, envir, enclos) : non-integer #successes in a
binomial glm!
- one way of specifying a logistic regression model is to supply the
observed proportion of sucesses as the response variable (e.g. y) and the
binomial n as the weights. The warning is complaining that y/n is
