[R] Cannot update some packages after upgrade to 2.1.1

[Prof Brian Ripley]

-lf77blas is part of ATLAS, so I do suspect the RPM builder had ATLAS 
installed.

lme4 needs a compatible Matrix installed.

I do think installing from the sources would solve this, but probably you 
need to discuss this with the RPM maintainer as a dependency appears to 
be missing.

On Fri, 15 Jul 2005, Kevin E. Thorpe wrote:

> I just upgraded to version 2.1.1 (from 2.0.1) today.
>
> > R.version
>          _
> platform i686-pc-linux-gnu
> arch     i686
> os       linux-gnu
> system   i686, linux-gnu
> status
> major    2
> minor    1.1
> year     2005
> month    06
> day      20
> language R
>
> I am using SuSE 9.2 and did the upgrade using rpm -U with the RPM
> available on CRAN.  After upgrading r-base, I ran update.packages().
> Four previously installed packages failed to update:
>
> 	Matrix (0.95-5 to 0.97-4)
> 	gam (0.93 to 0.94)
> 	lme4 (0.95-3 to 0.96-1)
> 	mgcv (1.3-1 to 1.3-4)
>
> In the case of Matrix, gam and mgcv I get the message:
>
> 	[long path]/ld: cannot find -lf77blas
>
> In the case of lme4 the messages are:
>
> ** preparing package for lazy loading
> Error in setMethod("coef", signature(object = "lmList"), function(object,  :
>         no existing definition for function 'coef'
> Error: unable to load R code in package 'lme4'
> Execution halted
> ERROR: lazy loading failed for package 'lme4'
>
> I have searched the SuSE repository for any package that provides
> f77blas but came up empty.
>
> I also could not identify any relevant messages in the mailing list
> archives.
>
> Is R looking for that library because it was present on the machine
> the RPM was built on?  Would building R myself solve the missing library
> problem or did I do something wrong?
>
> -- 
> Kevin E. Thorpe
> Biostatistician/Trialist, Knowledge Translation Program
> Assistant Professor, Department of Public Health Sciences
> Faculty of Medicine, University of Toronto
> email: kevin.thorpe at utoronto.ca  Tel: 416.946.8081  Fax: 416.971.2462
>
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>

-- 
Brian D. Ripley,                  ripley at stats.ox.ac.uk
Professor of Applied Statistics,  http://www.stats.ox.ac.uk/~ripley/
University of Oxford,             Tel:  +44 1865 272861 (self)
1 South Parks Road,                     +44 1865 272866 (PA)
Oxford OX1 3TG, UK                Fax:  +44 1865 272595