[R] Re: Release of Design library; update of Hmisc library

Stefano Iacus stefano.iacus at unimi.it
Tue Apr 30 10:46:05 CEST 2002


Hy Frank,

I'll try to build it for MacOS too.

Stefano

On Lunedì, 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
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