Imports: methods, utils, R.methodsS3 (>= 1.4.2)
Description: Methods and classes for object-oriented programming in R
with or without references.  Large effort has been made on
making definition of methods as simple as possible with a
minimum of maintenance for package developers.  The package has
been developed since 2001 and is now considered very stable.
This is a cross-platform package implemented in pure R that
defines standard S3 classes without any tricks.

Imports: methods, utils, R.methodsS3 (>= 1.4.4)

Description: Methods and classes for object-oriented programming in R with or without references.  Large effort has been made on making definition of methods as simple as possible with a minimum of maintenance for package developers.  The package has been developed since 2001 and is now considered very stable.  This is a cross-platform package implemented in pure R that defines standard S3 classes without any tricks.

Title: R Object-Oriented Programming with or without References

Depends: R (>= 2.2.0), R.methodsS3, utils
Description: Methods and classes for object-oriented programming in R with or without references.  Large effort has been made on making definition of methods as simple as possible with a minimum of maintainance for package developers.  The package has been developed since 2001 and is now considered very stable.  This is a cross-platform package implemented in pure R that defines standard S3 classes without any tricks.

Imports: methods, utils, R.methodsS3 (>= 1.2.2)

Imports: methods, utils, R.methodsS3 (>= 1.4.1)

Imports: stats, utils, tools, R.methodsS3 (>= 1.6.1), R.utils (>=
Suggests: tcltk, digest (>= 0.6.4), ascii (>= 2.1), markdown (>=
Title: Dynamic generation of scientific reports
Description: The RSP markup language makes any text-based document come alive.  RSP provides a powerful markup for controlling the content and output of LaTeX, HTML, Markdown, AsciiDoc, Sweave and knitr documents (and more), e.g. 'Today's date is <%=Sys.Date()%>'.  Contrary to many other literate programming languages, with RSP it is straightforward to loop over mixtures of code and text sections, e.g. in month-by-month summaries.  RSP has also several preprocessing directives for incorporating static and dynamic contents of external files (local or online) among other things.  Functions rstring() and rcat() make it easy to process RSP strings, while rfile() compiles RSP files (also online) into their final outputs, e.g. rfile('report.tex.rsp') generates 'report.pdf'.  RSP is ideal for self-contained scientific reports and R package vignettes.