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Hey rishi! To me this looks like either: The install. Do you want to try specifying a repo URL explicitly like: install. Try: install. Hi Andrie , It still shows me the same error. Package names are case sensitive in R. See also? To see which repositories R will look in for your package, and optionally select some additional ones.
See also Names of R's available packages ,? Since this is a large matrix, you may wish to use the data viewer to examine it. Alternatively, you can quickly check to see if the package is available by testing against the row names.
Which may indicate the selected CRAN repository is currently be unavailable. You can select a different mirror with chooseCRANmirror and try the installation again.
Perhaps you don't really want a package. It is common to be confused about the difference between a package and a library , or a package and a dataset.
A package is a standardized collection of material extending R, e. A library is a place directory where R knows to find packages it can use. Look at. On Windows, this is most easily done via the installr package.
It may have been archived if it is no longer maintained and no longer passes R CMD check tests. Additionally, some packages are available only via the sources for some or all platforms.
If the package requires compiling code e. On CRAN, you can tell if you'll need special tools to build the package from source by looking at the NeedsCompilation flag in the description. These packages require the remotes package to install. Although the binary version of your package is available, the source version is not. You can turn off this check by setting. Your package is in a non-standard repository e. Assuming that it is reasonably compliant with CRAN standards, you can still download it using install.
In the latest R 3. The workaround is to set repository manually:. Found solution in other question. As mentioned by the author over here. There seems to be a problem with some versions of R and libcurl. I have had the same problem on Mac R version 3. The solution was suggested by a friend, however, I haven't been able to find it in any of the forums, hence submitting this answer for others. In some cases, you need to install several packages in advance to use the package you want to use.
One thing that happened for me is that the version of R provided by my linux distribution R version 3. The solution was to use the packaging system of my distribution instead of trying to install from R apt-get install r-cran-plyr got me version 1.
Maybe I could have tried to update R using updateR , but I'm afraid that doing so would interfere with my distribution's package manager. It was very unexpected because I already had installed it with success before on the same version of R and same OS.
For some reason, the package was still there, but install. The solution was to find the URL of the compatible version and force install. This saved me a lot of time debugging what's wrong. In many cases are just mirrors out of date. This is what I finally could do for installing psych package in R You may get a warning: dependencies 'xyz' not available for the package ,then first install those from the repository and then do steps In this case the error message is slightly misleading: package 'foobarbaz' is not available for R version x.
The problem was not the version of R, it was the repos parameter. I did install. I fixed this error on Ubuntu by carefully following the instructions for installing R. This included:. I had the same problem on Linux which could be solved changing the proxy settings. If you are behind a proxy server check the configuration using Sys.
That was meant to control the source of packages for layman users, but as a developer, you can in most cases change that by:. If you know what you are doing and may need more than one package that might not be available in your system's CRAN, you can set this up in your project.
If it's just one package, maybe just use install. I found a slight variation on 6 package is out of date from the excellent solution by Richie Cotton. Sometimes the package maintainer may show R version gaps that it does not support. In that case, you have at least two options: 1 upgrade your R version to the next one the target package already supports, 2 install the most recent version from the older ones available that would work with your R version. Post questions about Bioconductor to one of the following locations:.
Home Bioconductor 3. DOI: Documentation » Bioconductor Package vignettes and manuals. Workflows for learning and use. Several online books for comprehensive coverage of a particular research field, biological question, or technology.
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