XML Output Functions for Easy Creation of Moodle Questions
Provides a set of basic functions for creating Moodle XML
output files suited for importing questions in Moodle (a learning
management system, see <https://moodle.org/> for more information).

c( person( "Emmanuel", "Curis",
email = "emmanuel.curis@parisdescartes.fr",
role  = c( "aut", "cre", "cph" ),
comment = c( ORCID = "0000-0001-8382-1493" ) ),
person( "Virginie", "Lasserre",
email = "virginie.lasserre@parisdescartes.fr",
role = "ctb" ) )
Emmanuel Curis [aut, cre, cph]
(<https://orcid.org/0000-0001-8382-1493>),
Virginie Lasserre [ctb]

Pei Wang <pwang@fhcrc.org>, Yan Liu <yanliu@fhcrc.org>
A statistical method for significant analysis of
comparative proteomics based on LC-MS/MS Experiments

Import ASCII files directly into R using only a SAS input script
Using any importation code designed for SAS users to read
ASCII files into sas7bdat files, the SAScii package parses
through the INPUT block of a (.sas) syntax file to design the
parameters needed for a read.fwf function call.  This allows
the user to specify the location of the ASCII (often a .dat)
file and the location of the .sas syntax file, and then load
the data frame directly into R in just one step.

Import ASCII Files Directly into R using Only a 'SAS' Input
Script
person( "Anthony Joseph" , "Damico" , role = c( "aut" , "cre" ) , email = "ajdamico@gmail.com" )
Using any importation code designed for 'SAS' users to read ASCII files into 'sas7bdat' files, this package parses through the INPUT block of a '.sas' syntax file to design the parameters needed for a 'read.fwf()' function call.  This allows the user to specify the location of the ASCII (often a '.dat') file and the location of the 'SAS' syntax file, and then load the data frame directly into R in just one step.

person( "Anthony Joseph" , "Damico" , role = c( "aut" ,
"cre" ) , email = "ajdamico@gmail.com" )

person("Mahesh", "Divakaran", email = "imaheshdivakaran@gmail.com", role = c("aut", "cre"))
Converts the dates to different 'SAS' date formats. In 'SAS' dates are a special case of
numeric values. Each day is assigned a specific numeric value, starting from January 1, 1960.
This date is assigned the date value 0, and the next date has a date value of 1 and so on.
The previous days to this date are represented by -1 , -2 and so on. With this approach,
'SAS' can represent any date in the future or any date in the past. There are many date
formats used in 'SAS' to represent date-time. Here, we try to develop functions which will
convert the date to different 'SAS' date formats.