[R] Checking package licences including dependencies?

[Prof Brian Ripley]

On Tue, 27 Jul 2010, Allan Engelhardt wrote:

> Great, thanks.  I couldn't quite get your syntax to work, but

Did you use R-devel?  The syntax has changed ... and that's why I said 
'e.g.'.

>
> z <- packageStatus(.libPaths()[1])[[1]]
> unname( z$Package[z$Status == "unavailable"] )
>
> seems to do the trick for me.
>
> Thanks again.
>
> Allan
>
> On 27/07/10 16:31, Prof Brian Ripley wrote:
>> If I understand you correctly, set the filter and use packageStatus().
>> Its summary() method tells you which packages you have installed which are 
>> 'unavailable'.  E.g. my Mac (with pkgType = "source") shows in R-devel
>> 
>> summary(packageStatus(.libPaths()[1]))$Libs[[1]]$unavailable
>>  [1] "BayesX"    "EVER"      "TSA"       "akima"     "degreenet" "difR"
>>  [7] "ergm"      "ff"        "gam"       "isa2"      "latentnet" "locfit"
>> [13] "mapproj"   "rtiff"     "statnet"   "tripack"
>> 
>> On Tue, 27 Jul 2010, Allan Engelhardt wrote:
>> 
>>> I only recently discovered options("available_packages_filters" = list(add 
>>> = TRUE, "license/FOSS")) [cf. help("available.packages", package="utils") 
>>> in R 2.10.0 or later] which goes nicely with my 
>>> options("checkPackageLicense" = TRUE) [new in R 2.11].
>>> 
>>> But now I want to purge my library of packages I would not have installed 
>>> had I known about this option earlier (I'm looking at you, "gam"!).
>>> 
>>> Short of erasing the whole directory of libraries and re-installing it, is 
>>> there an easy way of achieving this?
>>> 
>>> I could probably roll something based on tools:::analyze_license() but I 
>>> think the erase-and-reinstall option might be easier in this case :-)
>>> 
>>> Allan
>>> 
>>> ______________________________________________
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>>> PLEASE do read the posting guide 
>>> http://www.R-project.org/posting-guide.html
>>> and provide commented, minimal, self-contained, reproducible code.
>>> 
>> 
>

-- 
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)
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