Christophe LOOTS ifremer.fr> writes:
>
> Thank you so much for your help.
>
> The function "dbinom" seems to work very well.
>
> However, I'm a bit lost with the "dnorm" function.
>
> Apparently, I have to compute the mean "mu" and the standard deviation
> "sd" but what does it mean exactly?
Thank you so much for your help.
The function "dbinom" seems to work very well.
However, I'm a bit lost with the "dnorm" function.
Apparently, I have to compute the mean "mu" and the standard deviation
"sd" but what does it mean exactly? I only have a vector of predicted
response and a vector
Christophe LOOTS ifremer.fr> writes:
>
> Hi,
>
> I've two fitted models, one binomial model with presence-absence data
> that predicts probability of presence and one gaussian model (normal or
> log-normal abundances).
>
> I would like to evaluate these models not on their capability of
> a
Hi,
I've two fitted models, one binomial model with presence-absence data
that predicts probability of presence and one gaussian model (normal or
log-normal abundances).
I would like to evaluate these models not on their capability of
adjustment but on their capability of prediction by calcu
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