R help - Mar 2003 - Keywords

In trying to get R CMD check to run for Hmisc and Design, I get a lot of
warnings about key words that are not defined to R.  Is there now a way to add
new key words to the master list, or to have a local list that is concatenated
to the master?  If there is no way to do this, I assume that the use of
non-standard keywords will not disqualify a package from CRAN.

Here are some of the keywords used in my packages:

bootstrap, power (power and sample size calculations), dstudy (study design),
trellis, grouping, sampling, accuracy (model predictive accuracy), overview,
validate (model validation), lrm (logistic regression model)

Thanks,
Frank
-- 
Frank E Harrell Jr              Prof. of Biostatistics & Statistics
Div. of Biostatistics & Epidem. Dept. of Health Evaluation Sciences
U. Virginia School of Medicine  http://hesweb1.med.virginia.edu/biostat

[This sort of question might be better on R-devel.]

On Fri, 14 Mar 2003, Frank E Harrell Jr wrote:
> In trying to get R CMD check to run for Hmisc and Design, I get a 
lot of warnings about key words that are not defined to R.  
Is there now a way to add new key words to the master list, or to 
have a local list that is concatenated to the master?

There is no way. The primary use for the list of keywords is the Java
search engine in HTML, and that uses a static list generated from the
KEYWORDS file at R build time.  That makes it a good idea to use at least 
one of the standard keywords, and makes using others of little value.
(But not zero value: keywords are used in the refman.pdf although I think 
that is not much used.)
> If there is no way to do this, I assume that the use of non-standard
keywords will not disqualify a package from CRAN.

Ask the CRAN maintainers?
> Here are some of the keywords used in my packages:
> 
> bootstrap, power (power and sample size calculations), dstudy (study
design), trellis, grouping, sampling, accuracy (model predictive accuracy),
overview, validate (model validation), lrm (logistic regression model)
> 
> Thanks,
> Frank
> 
-- 
Brian D. Ripley,                  ripley at stats.ox.ac.uk
Professor of Applied Statistics,  http://www.stats.ox.ac.uk/~ripley/
University of Oxford,             Tel:  +44 1865 272861 (self)
1 South Parks Road,                     +44 1865 272866 (PA)
Oxford OX1 3TG, UK                Fax:  +44 1865 272595