[RsR] Package title (was: OGK covariance estimator)

[Martin Maechler]

>>>>> "Valentin" == Valentin Todorov <valentin.to using gmail.com>
>>>>>     on Tue, 6 Dec 2005 15:53:32 +0100 writes:

    Valentin> Why not simply 'robusta'
    Valentin> It is very easy also to find a logo for the package - robusta means:
    Valentin> - a coffee plant - Coffea canephora (robusta)
    Valentin> http://en.wikipedia.org/wiki/Image:Detail_of_Coffea_canephora_branch_and_leaves.jpg

    Valentin> - a palm tree - Washingtonia robusta
    Valentin> - a cactus - Opuntia robusta

cute!

Thank you, Valentin and Jean-Christophe!
I think both proposals are better than my original ones
{though I would not like to capitalize the 'ST' (in 'robuSTats')}.

As a Swiss, I should of course plan to organize a vote
now about the package *name* 
{ strictly speaking, the package "title" is something else: namely
  the text after 'Title:' in package DESCRIPTION file.  
  Currently, I have 'Title: Robust Statistics'
  there, but that's something that can easily be changed later;
  changing the package *name* however is much less desirable at
  some later time.
}
but instead of the vote, I'm waiting for more
comments/suggestions.
Where I'd personally slightly prefer 'robusta', I note that the
name could also be a drawback, when searching for it, e.g., by google.

Martin


    Valentin> On 12/6/05, Jean-Christophe BOUETTE <jcbouette using gmail.com> wrote:
    >> > Date: Mon, 5 Dec 2005 10:07:07 +0100
    >> > From: Martin Maechler <maechler using stat.math.ethz.ch>
    >> > Subject: Re: [RsR] OGK covariance estimator
    >> > To: Peter Filzmoser <P.Filzmoser using tuwien.ac.at>
    >> > Cc: R-SIG-Robust using stat.math.ethz.ch
    >> >
    >> >
    >> >  o  Proposed names for the `basic robust statistics' package:
    >> >     1. robstats
    >> >     2. robbase
    >> >     3. baseRob
    >> >
    >> 
    >> What about:
    >> robuSTats
    >> 
    >> the good thing with this name is that is contains the word "robust",
    >> so everybody knows what it is about, and you will find the package
    >> each time you search for "robust" on the R help archives...
    >> 
    >> just my two cents...
    >> 
    >> Jean-Christophe.
    >> 
    >> 
    >> > Now I'm interested to hear more..
    >> > Martin