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I have been attempting to install the gtfs2emis package in the Azure AI | Machine Learning Studio to utilize cloud computational resources. However, I'm encountering an issue during the installation process in the Azure R-environment.
Error Message
The installation process fails and the following error message is displayed:
It's noteworthy that other packages mentioned in the documentation install without any issues. This specific problem arises only with the gtfs2emis package.
Questions
Is the gtfs2emis package available on CRAN for access?
Could there be an issue with the package deployment that is causing this installation failure?
Request for Assistance
I would greatly appreciate any guidance or solutions to resolve this installation issue. Any insights into whether the problem lies with the package deployment or a different aspect of the Azure environment would be helpful.
The text was updated successfully, but these errors were encountered:
Hi @surijatin , {gtfs2emis} has been removed from CRAN on 2024-09-02 because a package it depents on was removed (issue #106). We are working to put it back on CRAN. In the meantime, you can try installing the dev version from Github with:
Problem Description
I have been attempting to install the
gtfs2emis
package in the Azure AI | Machine Learning Studio to utilize cloud computational resources. However, I'm encountering an issue during the installation process in the Azure R-environment.Error Message
The installation process fails and the following error message is displayed:
Steps Taken
I have been following the official Azure documentation for installing R packages, which can be found here: Azure Machine Learning - R Interactive Development.
It's noteworthy that other packages mentioned in the documentation install without any issues. This specific problem arises only with the
gtfs2emis
package.Questions
gtfs2emis
package available on CRAN for access?Request for Assistance
I would greatly appreciate any guidance or solutions to resolve this installation issue. Any insights into whether the problem lies with the package deployment or a different aspect of the Azure environment would be helpful.
The text was updated successfully, but these errors were encountered: