Thank you everybody so much for your help.

I adjusted my CRAN mirror in my etc/Profile.site file as suggested by Rui Barradas - that solved the issue with the twice repeated question of which repository to use. It did not resolve, however, the issue that all packages were flagged as  not actual.

So I followed the advice of Jeff Newmiller - actually I went one step further and completely de-installed my R version, re-installed it, and then downloaded the packages I need. That solved the problem.


One point that I still do not understand is why AFTER updating my original R 4.5 packages to 4.6, those were still identified as not up-to date. So why I was in this "ndless" loop of ineffective (?) updating. But maybe I should be pragmatic and be satisfied that it now works again.

Again, thank you all for your help.

Best,

Karl Schillng

On 28.05.2026 00:33, Uwe Ligges wrote:


On 28.05.2026 00:02, Jeff Newmiller wrote:
So can we interpret this to mean that update.packages() will fix (replace) old packages that were copied into the new library? What if one or more packages were dropped/archived or pulled from non-standard package sources?

No, not if a package is archived from CRAN or downloaded from a repository that is not declared. update.packages() won't find that the update is needed in such a case
I talked about active CRAN packages.

Best,
Uwe Ligges




On May 27, 2026 2:06:12 PM PDT, Uwe Ligges <[email protected] dortmund.de> wrote:



    On 27.05.2026 18:01, Karl Schilling wrote:

        I am running R under Windows 11. recently updated R to the
        4.6patchhed version. I then copied my packages from my previous
        version (4.5) to the library of 4.6. Then I updated all packages.

        Since then, I see the following behavior:

        Each time I run
        "update.packages(ask='graphics',checkBuilt=TRUE)" I am asked TWICE

        "--- Please select a CRAN mirror for use in this session ---".

        And, more embarrassingly, all my Cran and Bioconductor are said
        to require an update. That also happens when I run
        "update.packages", say, one hour after my last update.

        And when I run "old.packages()", it seems that all my packages
        are identified as being old.

        Any suggestions what might be going on?


    For a major version change (as from 4.5.x to 4.6.y) we do not
    guarantee API compatibility, hence we cannot guarantee that a
    package built for 4.5.x will work under 4.6.y. As a consequence,
    update.packages() knows that everything has to be reinstalled.

    Best,
    Uwe Ligges






        Thank you so much in advance,

        Karl Schilling
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