[R] Re: Release of Design library; update of Hmisc library
stefano.iacus at unimi.it
Tue Apr 30 10:46:05 CEST 2002
I'll try to build it for MacOS too.
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
> http://hesweb1.med.virginia.edu/biostat/s/Design.html from which you
> can download the ready-to-install package. See
> 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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