R announce - Apr 2002 - Release of Design library; update of Hmisc library

The Design library has been fully ported to R except for Cox proportional
hazards regression modeling (using Therneau's survival package) which will
be available in about two weeks.  It will take much longer to make all the
example code executable, is it currently contains many examples for which data
are not provided.  Thanks to Xiao Gang Fan <xiao.gang.fan1 at
libertysurf.fr> who kindly compiled Design for Windows.  I also thank Doug
Bates <bates at stat.wisc.edu> and Charles Berry <cberry at
tajo.ucsd.edu> who provided details to make it easy to change LINPACK calls
from S-Plus to R, and Robert Gentleman <rgentlem at jimmy.harvard.edu> and
Thomas Lumley <tlumley at u.washington.edu> who provided help in dealing
with formula terms objects.

The Design library implements methods used in my 2001 Springer book Regression
Modeling Strategies (see http://hesweb1.med.virginia.edu/biostat/rms).  The web
page for Design is
http://hesweb1.med.virginia.edu/biostat/s/Design.html from which you
can download the ready-to-install package.  See
http://hesweb1.med.virginia.edu/biostat/s/help/Design/html/Overview.html 
for a detailed overview of the library.

Design does regression modeling, testing, estimation, validation, graphics,
prediction, and typesetting by storing enhanced model design attributes in the
fit.  Design is a collection of about 180 functions that assist and streamline
modeling, especially for biostatistical and epidemiologic applications.  It also
contains new functions for binary and ordinal logistic regression models and the
Buckley-James multiple regression model for right-censored responses, and
implements penalized maximum likelihood estimation for logistic and ordinary
linear models.  Design works with almost any regression model, but it was
especially written to work with logistic regression, Cox regression, accelerated
failure time models, and ordinary linear models.

You should install the Hmisc library before using Design, as a few of
Design's options use Hmisc functions, and Hmisc has several functions useful
for data analysis (especially data reduction and imputation).


Peter Malewski <peter.malewski at gmx.de> provided many more bug fixes for
the Hmisc library, and Xiao Gang Fan kindly compiled the latest Hmisc for
Windows.  New versions of Hmisc for all platforms may be obtained from
http://hesweb1.med.virginia.edu/biostat/s/library/r .  The new versions are
required when using Design.

-- 
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
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Hy Frank,

I'll try to build it for MacOS too.

Stefano

On Luned?, aprile 29, 2002, at 05:12 , Frank E Harrell Jr wrote:
>
> The Design library has been fully ported to R except for Cox 
> proportional hazards regression modeling (using Therneau's survival 
> package) which will be available in about two weeks.  It will take much 
> longer to make all the example code executable, is it currently 
> contains many examples for which data are not provided.  Thanks to Xiao 
> Gang Fan <xiao.gang.fan1 at libertysurf.fr> who kindly compiled
Design for
> Windows.  I also thank Doug Bates <bates at stat.wisc.edu> and
Charles
> Berry <cberry at tajo.ucsd.edu> who provided details to make it easy
to
> change LINPACK calls from S-Plus to R, and Robert Gentleman 
> <rgentlem at jimmy.harvard.edu> and Thomas Lumley 
> <tlumley at u.washington.edu> who provided help in dealing with
formula
> terms objects.
>
> The Design library implements methods used in my 2001 Springer book 
> Regression Modeling Strategies (see 
> http://hesweb1.med.virginia.edu/biostat/rms).  The web page for Design 
> is
> http://hesweb1.med.virginia.edu/biostat/s/Design.html from which you
> can download the ready-to-install package.  See
> http://hesweb1.med.virginia.edu/biostat/s/help/Design/html/Overview.html
> for a detailed overview of the library.
>
> Design does regression modeling, testing, estimation, validation, 
> graphics, prediction, and typesetting by storing enhanced model design 
> attributes in the fit.  Design is a collection of about 180 functions 
> that assist and streamline modeling, especially for biostatistical and 
> epidemiologic applications.  It also contains new functions for binary 
> and ordinal logistic regression models and the Buckley-James multiple 
> regression model for right-censored responses, and implements penalized 
> maximum likelihood estimation for logistic and ordinary linear models.  
> Design works with almost any regression model, but it was especially 
> written to work with logistic regression, Cox regression, accelerated 
> failure time models, and ordinary linear models.
>
> You should install the Hmisc library before using Design, as a few of 
> Design's options use Hmisc functions, and Hmisc has several functions 
> useful for data analysis (especially data reduction and imputation).
>
>
> Peter Malewski <peter.malewski at gmx.de> provided many more bug
fixes for
> the Hmisc library, and Xiao Gang Fan kindly compiled the latest Hmisc 
> for Windows.  New versions of Hmisc for all platforms may be obtained 
> from http://hesweb1.med.virginia.edu/biostat/s/library/r .  The new 
> versions are required when using Design.
>
> --
> 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
> -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-
> .-.-.-
> r-announce mailing list -- Read 
> http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html
> Send "info", "help", or "[un]subscribe"
> (in the "body", not the subject !)  To: r-announce-
> request at stat.math.ethz.ch
> _._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._
> ._._._
>
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