At 18:10 02/06/2011, geojs wrote:
Thanks for the quick reply,
I understand that the predict(zip1A, type = "response") command is computing
the fitted_means and these are different than the probabilities
predict(zip1A, type = "prob"). Although, according to Martin (2005), the
highest probabilitie
On Thu, 2 Jun 2011, geojs wrote:
Thanks for the quick reply,
I understand that the predict(zip1A, type = "response") command is computing
the fitted_means and these are different than the probabilities
predict(zip1A, type = "prob").
Yes. One evaluates the probability density function, and th
Thanks for the quick reply,
I understand that the predict(zip1A, type = "response") command is computing
the fitted_means and these are different than the probabilities
predict(zip1A, type = "prob"). Although, according to Martin (2005), the
highest probabilities do not simply lead to the true co
On Tue, 31 May 2011, Jean-Simon Michaud wrote:
Hi all,
First post for me here, but I have been reading on the forum for almost two
years now. Thanks to everyone who contributed btw!
I have a dataset of 4000 observations of count of a mammal and I am trying
to predict abundance from a inflated-
Hi all,
First post for me here, but I have been reading on the forum for almost two
years now. Thanks to everyone who contributed btw!
I have a dataset of 4000 observations of count of a mammal and I am trying
to predict abundance from a inflated-zero model as there is quite a bit of
zeros
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