Seamless Interface to Octave -- and Matlab
c( person("Renaud", "Gaujoux", role=c("aut", "cre"),
email="renaud@tx.technion.ac.il"), person("Dirk", "Eddelbuettel",
role="ctb", comment="Helped with configure and Rcpp"), person("Dominick",
"Samperi", role="ctb", comment="Helped with Windows/Mac port"))
Direct interface to Octave. The primary goal is to facilitate the
port of Matlab/Octave scripts to R. The package enables to call any Octave
functions from R and as well as browsing their documentation, passing
variables between R and Octave, using R core RNGs in Octave, which ensures
that stochastic computations are also reproducible.
Octave (>= 3.2.4) and its development files
'utils.R' 'package.R' 'interface.R' 'Octave-class.R'
'OctaveFunction-class.R' 'base-functions.R' 'eval.R' 'random.R'
Renaud Gaujoux [aut, cre],
Dirk Eddelbuettel [ctb] (Helped with configure and Rcpp),
Dominick Samperi [ctb] (Helped with Windows/Mac port)

'utils.R' 'package.R' 'interface.R' 'Octave-class.R'
'OctaveFunction-class.R' 'base-functions.R' 'eval.R' 'random.R'
'config-vars.R' 'config.R'

Seamless Interface to Octave -- And Matlab
'Octave-class.R' 'OctaveFunction-class.R' 'base-functions.R'
'config-vars.R' 'config.R' 'eval.R' 'utils.R' 'interface.R'
'package.R' 'random.R'

Direct interface to Octave. The primary goal is to
facilitate the port of Matlab/Octave scripts to R. The package
enables to call any Octave functions from R and as well as
browsing their documentation, passing variables between R and
Octave, using R core RNGs in Octave, which ensure stochastic
computations are also reproducible.
methods, stats, Rcpp (>= 0.10.1), pkgmaker (>= 0.10)

methods, digest, stringr, Rcpp (>= 0.9.4), pkgmaker (>= 0.6.4)
'devutils.R' 'utils.R' 'package.R' 'interface.R'
'Octave-class.R' 'OctaveFunction-class.R' 'base-functions.R'
'eval.R' 'random.R'

Direct interface to Octave. The primary goal is to
facilitate the port of Matlab/Octave scripts to R. The package
enables to call any Octave functions from R and as well as
browsing their documentation, passing variables between R and
Octave, using R core RNGs in Octave, which ensures that
stochastic computations are also reproducible.
methods, stats, Rcpp (>= 0.10.1), pkgmaker (>= 0.16)