Empirical orthogonal teleconnections in R.
'remote' is short for "R(-based) EMpirical Orthogonal TEleconnections".
It implements a collection of functions to facilitate empirical
orthogonal teleconnection analysis. Empirical Orthogonal Teleconnections
(EOTs) denote a regression based approach to decompose spatio-temporal
fields into a set of independent orthogonal patterns. They are quite
similar to Empirical Orthogonal Functions (EOFs) with EOTs producing
less abstract results. In contrast to EOFs, which are orthogonal in both
space and time, EOT analysis produces patterns that are orthogonal in
either space or time.

Empirical orthogonal teleconnections in R.
'remote' is short for 'R(-based) EMpirical Orthogonal TEleconnections'.
It implements a collection of functions to facilitate empirical
orthogonal teleconnection analysis. Empirical Orthogonal Teleconnections
(EOTs) denote a regression based approach to decompose spatio-temporal
fields into a set of independent orthogonal patterns. They are quite
similar to Empirical Orthogonal Functions (EOFs) with EOTs producing
less abstract results. In contrast to EOFs, which are orthogonal in both
space and time, EOT analysis produces patterns that are orthogonal in
either space or time.
grDevices, gridExtra, latticeExtra, mapdata, scales, stats,
utils

Remote R: Control a Remote R Session from a Local One
A set of utilities for controlling a remote R session
from a local one.  Simply set up a server (see package vignette
for more details) and connect to it from your local R session,
including 'RStudio'.  Network communication is handled
by the 'ZeroMQ' library by way of the 'pbdZMQ' package.  The
client/server framework is a custom 'REPL'.
stats, utils, assertthat (>= 0.1), sodium (>= 0.2)
c(person("Drew", "Schmidt", role=c("aut", "cre"),
email="wrathematics@gmail.com"),
person("Wei-Chen", "Chen", role="aut"))

stats, utils, tools, assertthat (>= 0.1), getPass (>= 0.1-0)

A set of utilities for client/server computing with R, controlling
a remote R session (the server) from a local one (the client).  Simply set
up a server (see package vignette for more details) and connect to it from
your local R session ('RStudio', terminal, etc).  The client/server
framework is a custom 'REPL' and runs entirely in your R session without the
need for installing a custom environment on your system.  Network
communication is handled by the 'ZeroMQ' library by way of the 'pbdZMQ'
package.
pbdZMQ (>= 0.3-0), getPass (>= 0.1-0), argon2 (>= 0.2-0),
stats, utils, tools, grDevices, graphics, png (>= 0.1-7)
c(
person("Drew", "Schmidt", role=c("aut", "cre"), email="wrathematics@gmail.com"),
person("Wei-Chen", "Chen", role="aut"),
person("R Core team", role = "ctb", comment = "some functions are modified from the R source code"))
Drew Schmidt [aut, cre],
Wei-Chen Chen [aut],
R Core team [ctb] (some functions are modified from the R source code)