[ADMB Users] difference between ADMB-RE and R/mgcv in SEs for smoother coefficients in a GAM fitted by maximum likelihood
Tim Miller (NOAA Federal)
timothy.j.miller at noaa.gov
Thu Nov 29 06:00:18 PST 2012
Yes, Hans has it right. Just a simple linear function of them. There is
a second sdreport_vector that gives SEs closer to the "correct" ones
provided by R/mgcv.
wrong_transformed_betas = bad_U_F * betas + U_R * smooth_reff;
bad_U_F is the same as U_F except the second column is multiplied by -1.
On 11/28/2012 10:42 PM, H. Skaug wrote:
> It is the following "sdreport_vector" that depends on both
> fixed (betas) and random effects (smooth_reff)
> transformed_betas = U_F * betas + U_R * smooth_reff;
> that has unexpected variances.
> On Thu, Nov 29, 2012 at 3:46 AM, dave fournier<davef at otter-rsch.com> wrote:
>> Without bothering to read all that stuff just want to know if this is a std
>> error for
>> a fixed effect a random effect or something else.
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>> Users at admb-project.org
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