[GenABEL-dev] problem with MixABEL

Yurii Aulchenko yurii.aulchenko at gmail.com
Tue Feb 12 22:17:03 CET 2013


Now it is much better! - there are still many problems, but, as far as I
can see these are not related to the FastMixedModel :)

Thank you very much for such prompt reaction, William! - I really
appreciate this!

best wishes,
Yurii


On Tue, Feb 12, 2013 at 9:47 PM, William Astle <william.astle at mail.mcgill.ca
> wrote:

>  Hi,
>
>  I think this is fixed. I don't have access to a compiler on Mac OS X.
> Would you mind testing it for me Yurii?
>
>  Thanks
>
>  Will
>
>  On 12 Feb 2013, at 15:16, Yurii Aulchenko <yurii.aulchenko at gmail.com>
>  wrote:
>
>  This is a possible bug report:
>
>  I am trying to build latest MixABEL on Mac OS using the 'makedistrib'
> script
>
>
> https://r-forge.r-project.org/scm/viewvc.php/pkg/GenABEL-general/scripts/makedistrib_MixABEL.sh?view=markup&root=genabel
>
>  I get
>
>  > time0.fmm <- proc.time()
> > fmm <- FastMixedModel(Response=res,
> + Explan=expl,
> + Kin = gkin,
> + Cov=covariates)
>
>   *** caught bus error ***
> address 0x105639487, cause 'non-existent physical address'
>
>   *** caught bus error ***
>
>   *** caught bus error ***
> address 0x105639487, cause 'non-existent physical address'
> address 0x105639487, cause 'non-existent physical address'
>
>   *** caught bus error ***
> address 0x105639487, cause 'non-existent physical address'
>
>  Traceback:
>  1: .Call("rint_flmm", as.double(Explan), as.double(Response),
> as.integer(dim(Explan)[1]),     as.integer(dim(Explan)[2]),
> as.double(t(Covariates)), as.integer(dim(Covariates)[2]),
> as.double(t(GenVar)), as.double(nu_naught), as.double(gamma_naught))
>  2: FastMixedModel(Response = res, Explan = expl, Kin = gkin, Cov =
> covariates)
> aborting ...
>
>  Traceback:
>  1:
> Traceback:
>
>  Traceback:
> .Call("rint_flmm", as.double(Explan), as.double(Response),
> as.integer(dim(Explan)[1]),  1:  1:     as.integer(dim(Explan)[2]),
> as.double(t(Covariates)), as.integer(dim(Covariates)[2]),
> .Call("rint_flmm", as.double(Explan), as.double(Response),
> as.integer(dim(Explan)[1]), .Call("rint_flmm", as.double(Explan),
> as.double(Response), as.integer(dim(Explan)[1]),     as.double(t(GenVar)),
> as.double(nu_naught), as.double(gamma_naught))
>  as.integer(dim(Explan)[2]), as.double(t(Covariates)),
> as.integer(dim(Covariates)[2]),     as.integer(dim(Explan)[2]),
> as.double(t(Covariates)), as.integer(dim(Covariates)[2]),
>     as.double(t(GenVar)), as.double(nu_naught), as.double(gamma_naught))
>  as.double(t(GenVar)), as.double(nu_naught), as.double(gamma_naught)) 2:
>
>  FastMixedModel(Response = res, Explan = expl, Kin = gkin, Cov =
> covariates) 2:  2:
> FastMixedModel(Response = res, Explan = expl, Kin = gkin, Cov =
> covariates)FastMixedModel(Response = res, Explan = expl, Kin = gkin, Cov =
> covariates)aborting ...
>
>  ... SO ON
>  _______________________________________________
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>
>
>


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-----------------------------------------------------
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