Utility for installing add-on packages.
R CMD INSTALL [options] [-l lib] pkgsa space-separated list with the path names of the packages to be installed. See ‘Details’.
the path name of the R library tree to install to. Also accepted in the form --library=lib. Paths including spaces should be quoted, using the conventions for the shell in use.
a space-separated list of options through which in
    particular the process for building the help files can be controlled.
    Use R CMD INSTALL --help for the full current list of options.
An R installation can support more than one sub-architecture: currently this is most commonly used for 32- and 64-bit builds on Windows.
For such installations, the default behaviour is to try to install
  source packages for all installed sub-architectures unless the package
  has a configure script or a src/Makefile (or
  src/Makefile.win on Windows), when only compiled code for the
  sub-architecture running R CMD INSTALL is installed.
To install a source package with compiled code only for the
  sub-architecture used by R CMD INSTALL, use
  --no-multiarch.  To install just the compiled code for
  another sub-architecture, use --libs-only.
There are two ways to install for all available sub-architectures.  If
  the configure script is known to work for both Windows architectures,
  use flag --force-biarch (and packages can specify this
  via a Biarch: yes field in their DESCRIPTION files).
  Second, a single tarball can be installed with
R CMD INSTALL --merge-multiarch mypkg_version.tar.gz
The default way to install source packages changed in R 3.6.0, so packages are first installed to a temporary location and then (if successful) moved to the destination library directory. Some older packages were written in ways that assume direct installation to the destination library.
Staged installation can currently be overridden by having a line
  StagedInstall: no in the package's DESCRIPTION file,
  via flag --no-staged-install or by setting environment
  variable R_INSTALL_STAGED to a false value
  (e.g.false or no).
Staged installation requires either --pkglock or --lock, one of which is used by default.
This will stop at the first error, so if you want all the pkgs
  to be tried, call this via a shell loop.
If used as R CMD INSTALL pkgs without explicitly specifying
  lib, packages are installed into the library tree rooted at the
  first directory in the library path which would be used by R run in
  the current environment.
To install into the library tree lib, use
  R CMD INSTALL -l lib pkgs.
  This prepends lib to the library path for
  duration of the install, so required packages in the installation
  directory will be found (and used in preference to those in other
  libraries).
It is possible that environment variable TMPDIR
  will need to be set (although R CMD tries to set it suitably
  otherwise): use forward slashes and no spaces for the path to a
  writable directory.
Both lib and the elements of pkgs may be absolute or
  relative path names of directories.  pkgs may also contain
  names of package archive files: these are then extracted to a
  temporary directory.  These are tarballs containing a single
  directory, optionally compressed by gzip, bzip2,
  xz or compress.
  Finally, binary package archive files (as created by
  R CMD INSTALL --build) can be supplied.
  Finally, zipped binary packages (as created by
  R CMD INSTALL --build) can be supplied.
Tarballs are by default unpackaged by the internal untar
  function: if needed an external tar command can be specified
  by the environment variable R_INSTALL_TAR: please ensure that it
  can handle the type of compression used on the tarball.  (This is
  sometimes needed for tarballs containing invalid or unsupported
  sections, and can be faster on very large tarballs.   Setting
  R_INSTALL_TAR to tar.exe has been needed to overcome
  permissions issues on some Windows systems.)
The package sources can be cleaned up prior to installation by --preclean or after by --clean: cleaning is essential if the sources are to be used with more than one architecture or platform.
Some package sources contain a configure script that can be
  passed arguments or variables via the option --configure-args
  and --configure-vars, respectively, if necessary.  The latter
  is useful in particular if libraries or header files needed for the
  package are in non-system directories.  In this case, one can use the
  configure variables LIBS and CPPFLAGS to specify these
  locations (and set these via --configure-vars), see section
  “Configuration variables” in “R Installation and
  Administration” for more information.  (If these are used more than
  once on the command line they are concatenated.)  The configure
  mechanism can be bypassed using the option --no-configure.
If the attempt to install the package fails, leftovers are removed. If the package was already installed, the old version is restored. This happens either if a command encounters an error or if the install is interrupted from the keyboard: after cleaning up the script terminates.
For details of the locking which is done, see the section
  ‘Locking’ in the help for install.packages.
Option --build can be used to zip up the installed package for distribution.
Option --build can be used to tar up the installed package
  for distribution as a binary package (as used on macOS).  This is done
  by utils::tar unless environment variable R_INSTALL_TAR
  is set.
By default a package is installed with static HTML help pages if and only if R was: use options --html and --no-html to override this.
Packages are not by default installed keeping the source formatting
  (see the keep.source argument to source): this
  can be enabled by the option --with-keep.source or by setting
  environment variable R_KEEP_PKG_SOURCE to yes.
Use R CMD INSTALL --help for concise usage information,
  including all the available options.
REMOVE;
  .libPaths for information on using several library trees;
  install.packages for R-level installation of packages;
  update.packages for automatic update of packages using
  the Internet or a local repository.
The section on “Add-on packages” in “R Installation and
    Administration” and the chapter on “Creating R packages” in
  “Writing R Extensions”
  (on the Help menu in RGui),
  via RShowDoc or in the doc/manual
  subdirectory of the R source tree.