How do I install a package that has been archived from CRAN?

Question

I typed the following in the R command line:

install.packages("RecordLinkage")  

I got the following error:

Warning in install.packages :   package ‘RecordLinkage’ is not available (for R version 3.1.0) 

However, one of my coworkers did the exact same thing on the exact same version of R (3.1.0) and it worked. In addition, I've managed to install other packages successfully.

Any idea why this does not work? Any help would be greatly appreciated.

Answer 1

The package has been archived, so you will have to install from an archive.

I know this because the package home page at http://cran.r-project.org/web/packages/RecordLinkage/index.html tells me:

Package ‘RecordLinkage’ was removed from the CRAN repository.  Formerly available versions can be obtained from the archive.  Archived on 2015-05-31 as memory access errors were not corrected. 

By following the link to archives (http://cran.r-project.org/src/contrib/Archive/RecordLinkage) I get a list of all old versions:

[   ]   RecordLinkage_0.3-5.tar.gz  12-Sep-2011 18:04   688K      [   ]   RecordLinkage_0.4-1.tar.gz  12-Jan-2012 09:39   676K      

So now I know the version number of the most recent version. The way forward is to download the tarball, install all package dependencies and then install the package from the local downloaded file.

Try this:

# Download package tarball from CRAN archive  url <- "http://cran.r-project.org/src/contrib/Archive/RecordLinkage/RecordLinkage_0.4-1.tar.gz" pkgFile <- "RecordLinkage_0.4-1.tar.gz" download.file(url = url, destfile = pkgFile)  # Expand the zip file using whatever system functions are preferred  # look at the DESCRIPTION file in the expanded package directory  # Install dependencies list in the DESCRIPTION file  install.packages(c("ada", "ipred", "evd"))  # Install package install.packages(pkgs=pkgFile, type="source", repos=NULL)  # Delete package tarball unlink(pkgFile) 

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Note:

This will only work if you have the build tools installed on your machine. On Linux this will be the case. But on Windows you will have to install RTools if you don't have it already. And on OS X (Mac) you will have to install XCode and the associated command line tools.