Package: SASxport
Title: Read and Write 'SAS' 'XPORT' Files
Version: 1.7.0
Date: 2020-03-06
Description: Functions for reading, listing
the contents of, and writing 'SAS' 'xport' format files.
The functions support reading and writing of either
individual data frames or sets of data frames.  Further,
a mechanism has been provided for customizing how
variables of different data types are stored.
Author: Gregory R. Warnes <greg@warnes.net>
--
Unless otherwise noted, the contents of this package were written by
Gregory R. Warnes <greg@warnes.net> and are provided under the
terms of the GNU General Public License, version 2.0 or later.
--
The files 'src/ieee2ibm.c' and 'src/ibm2ieee.c' were extracted from
BRL-CAD file /brlcad/src/libbu/htond.c written by Michael John
Muuss, Copyright (c) 2004-2007 United States Government as
represented by the U.S. Army Research Laboratory, and is utilized
and redistributed under the terms of the GNU Lesser General Public
License, version 2.1.
--
The file 'R/read.xport.R' is adapted from the 'Hmisc' package created
by Frank E. Harrell, Jr. <f.harrell@vanderbilt.edu>, and is utilized
and redistributed under the terms of the GNU General Public License,
version 2.0 or later.
--
The files 'R/xport.R', 'src/SASxport.c', 'src/SASxport.h', and
'src/foreign.h' are copied or adapted from the 'R' 'foreign' package
created by Douglas M. Bates <bates@stat.wisc.edu> and Saikat DebRoy
<saikat@stat.wisc.edu>, and are utilized and redistributed under the
terms of the GNU General Public License, version 2.0 or later.
--
The creation of this package was partially funded by Metrum Institute
<http://metruminstitute.org>.
Maintainer: Gregory R. Warnes <greg@warnes.net>
License: GPL-2
Language: en-US
Depends: R (>= 3.3.0)
Imports: Hmisc, utils, stringi
Enhances: chron
URL: https://github.com/warnes/SASxport
BugReports: https://github.com/warnes/SASxport/issues
RoxygenNote: 7.0.2
NeedsCompilation: yes
Packaged: 2020-03-10 02:50:33 UTC; gwarnes
Repository: CRAN
Date/Publication: 2020-03-10 06:50:17 UTC

Title: This package implements the SAVE approach for Computer Models
Author: Rui Paulo, Gonzalo Garcia-Donato, and Jesus Palomo, with
contributions from J. Berger, S. Bayarri and J. Sacks.
Depends: R (>= 1.0), coda, DiceKriging, methods
Description: The SAVE package implements statistical methodology for
the analysis of complex computer models. Namely, it allows for
the emulation, calibration, and validation of computer models,
following methodology described in Bayarri et al 2007,