I know you can supply two repository options but I'm not sure this helps or see here. devtools::install_github("DeveloperName/PackageName"). I think you need to know the authors name to install all github packages though so I'm not sure how to automate this (e.g. remaining github packages): git_packages_not_installed <- install.lib You could work out which packages weren't installed (e.g. Is there a way to automatically install these packages from github? This works really well but will only install packages that are on CRAN so all packages that are only on github won't be installed. It is now expecting GDP to contract by 0.2, instead of the 1. Install.lib <- package_listįor(lib in install.lib) install.packages(lib, dependencies = TRUE) Since the autumn statement, the OBR, along with many other forecasters, has become slightly less gloomy about the prospects for 2023. Package_list <- as.character(previously_installed$Package) R 4.1), read in the old package names and install (from default: CRAN): previously_installed <- read.csv('previously_installed.csv') Then install and open new version of R (e.g. Since the autumn statement, the OBR, along with many other forecasters, has become slightly less gloomy about the prospects for 2023. Write.csv(installed, 'previously_installed.csv') R 3.6) and make a copy of all installed packages: installed <- as.ame(installed.packages()) In the past, I've followed this approach: When you are doing an R update, what is the best approach to re-installing and updating all packages that were already installed on your previous R version when some of your packages are on CRAN but the rest are on github (or other sources)?
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