conda build r-ldavis/ not working


I am new to jupyter, and I am looking to install an R package (tseries) that is available on CRAN

I was trying to follow a question that was raised, but I think I am getting a different problem.

I was originally following this link

<a href="https://stackoverflow.com/questions/34705917/conda-how-to-install-r-packages-that-are-not-available-in-r-essentials" rel="nofollow">conda - How to install R packages that are not available in "R-essentials"?</a>

But it seems obvious that the answer direct me to another link which is

<a href="https://www.continuum.io/content/conda-data-science" rel="nofollow">https://www.continuum.io/content/conda-data-science</a>

under the Building a conda R package

They said to run

conda skeleton cran ldavis

and then I got the following

C:\Users\Rami>conda skeleton cran ldavis Tip: install CacheControl (conda package) to cache the CRAN metadata Fetching metadata from http://cran.r-project.org/ Tip: install CacheControl (conda package) to cache the CRAN metadata Traceback (most recent call last): File "d:\Users\Rami\Anaconda3\Scripts\conda-skeleton-script.py", line 5, in <module> sys.exit(conda_build.cli.main_skeleton.main()) File "d:\Users\Rami\Anaconda3\lib\site-packages\conda_build\cli\main_skeleton.py", line 65, in main return execute(sys.argv[1:]) File "d:\Users\Rami\Anaconda3\lib\site-packages\conda_build\cli\main_skeleton.py", line 61, in execute api.skeletonize(package, args.repo, config=config) File "d:\Users\Rami\Anaconda3\lib\site-packages\conda_build\api.py", line 192, in skeletonize recursive=recursive, config=config, **kwargs) File "d:\Users\Rami\Anaconda3\lib\site-packages\conda_build\skeletons\cran.py", line 527, in skeletonize raise RuntimeError("directory already exists: %s" % dir_path) RuntimeError: directory already exists: .\r-ldavis

Please help me in steps as I am really new to this on windows 10


Thank you all for your remarks but the easiest way I found for not worrying about the r directory is through downloading the package directly from jupyter using the following command

install.packages('tseries', repos='http://cran.us.r-project.org')

This worked fine for me.


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