Hello everybody,
I have encountered a problem with the inverse Gaussian distribution. It is very
likely that it will not work regardless of the data input. I have programmed
this regression and it works fine no matter which distribution the response
comes from.
If you run this example (first tried and already got the error)
set.seed(1234)
y = abs( rnorm(150) )
glm( y ~ ., iris, family = inverse.gaussian(log) )
You will get this message:
Error: inner loop 1; cannot correct step size
In addition: Warning message:
step size truncated due to divergence
Whom should I talk to about fixing this bug, in some next update of R?
Michail
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