Each version of bioconductor is in principle tied to a version of R. So the procedure would be to find out which version of R goes with the version of bioconductor that includes these packages then install this R version and the corresponding bioconductor then you can install the packages using the standard bioconductor installation method.
Did the methods section in manuscript mention the version of R and library used in analysis? If not , try to contact manuscript author for R session information.
R version 3.6.3 (2020-02-29) -- "Holding the Windsock"
Copyright (C) 2020 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)
I was able to install the packages by:
1)Downloading Package Source from Package Archive
2)Installing the tar.gz from R Studio; Tools --> Install Packages... --> Package Archive File (tar.gz)
It's necessary to install all the required depencies, after that the packages were installed correctly
I get the following error, anyway I'm not able to install R tools:
WARNING: Rtools is required to build R packages but is not currently installed. Please download and install the appropriate version of Rtools before proceeding:
Looking at this, it seems that Rtools for R 4.0 is actually Rtools40. Try following instructions there.
I don't mean to sound discouraging but you are a bit in a tricky situation because 1) You are using Windows (most bioinformatics tools are designed for Linux) 2) You are installing unmaintained packages designed for R 3 on R 4.
1) thank you very much , I followed your instruction and now i don't have any Rtools WARNING on my Windows machine
2) I also have a Linux Machine with Ubuntu 20.04 and R version 3.6.3.
I can't tell for sure what's going on but you may need to install some additional packages like Biobase, rjson, RCurl (in my sessionInfo, check the list under other attached packages: and loaded via a namespace)
I tried to install the packages but nothing changed. Furthermore the packages are loaded when: library(InSilicoDb). I can't figure out what is the problem, the main difference that I noticed is that you're using miniconda3...
Each version of bioconductor is in principle tied to a version of R. So the procedure would be to find out which version of R goes with the version of bioconductor that includes these packages then install this R version and the corresponding bioconductor then you can install the packages using the standard bioconductor installation method.
Old versions of Windows R here: https://cran.r-project.org/bin/windows/base/old/
If you want the 2.13 version of the BioConductor package, you will need R 3.0.2, see here.
Did the methods section in manuscript mention the version of R and library used in analysis? If not , try to contact manuscript author for R session information.