Can't install any R package with jupyter notebook

Question

I get this error whenever I try to install any package with jupyter notebook

  There is a binary version available but the source version is later:
     binary source needs_compilation
Rcpp  1.0.6  1.0.8              TRUE

installing the source package 'Rcpp'

Warning message in install.packages("Rcpp"):
"installation of package 'Rcpp' had non-zero exit status"

For this specific package, I was able to install it with conda install but some packages like lifecontingencies doesen't work and I get this message with install.packages('lifecontingencies')

also installing the dependencies 'Rcpp', 'markovchain'


  There are binary versions available but the source versions are later:
                   binary source needs_compilation
Rcpp                1.0.6  1.0.8              TRUE
markovchain       0.8.5-4  0.8.6              TRUE
lifecontingencies   1.3.7  1.3.8              TRUE

installing the source packages 'Rcpp', 'markovchain', 'lifecontingencies'

Warning message in install.packages("lifecontingencies"):
"installation of package 'Rcpp' had non-zero exit status"Warning message in install.packages("lifecontingencies"):
"installation of package 'markovchain' had non-zero exit status"Warning message in install.packages("lifecontingencies"):
"installation of package 'lifecontingencies' had non-zero exit status"

And I get this with Conda

Is there a way to fix the install.packages command in jupyter notebook ? My R version is 3.6.1 (2019-07-05)

Answer 1

The CRAN package lifedependencies is now available through Conda Forge.¹ I generally recommend that all Conda R environments should source packages from Conda, otherwise one is likely to encounter compilation (really, library linking) issues.

conda install -c conda-forge r-lifedependencies

However, note that this is only available for R 4.0 and 4.1 at this time. If an R 3.6 version truly is required, then please request it by filing an Issue on the feedstock.

For future reference, there are some details on adding CRAN packages to Conda Forge in this answer.

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_{[1]: Note that R packages are typically prefixed with r- in the Conda ecosystem.}