Package: wnpp
Severity: wishlist

* Package name    : r-noncran-design
  Version         : 1.1.6
  Upstream Author : Frank Harrell <[EMAIL PROTECTED]>
* URL             : http://hesweb1.med.virginia.edu/biostat/rms
* License         : GPL
  Description     : Regression modeling strategies

Design is one of two packages by Frank Harrell and requires the other, Hmisc.
Design provides the code supporting Harrell's 2002 book on 'Regression
Modeling Strategies'.  I intend to stick with the convention of calling the
(Debian) source package the same as the (source) R package -- design -- but
then normalizing on r-noncran-design as done by prior packages maintained by
Chris Lawrence and myself.

An early version is at http://dirk.eddelbuettel.com/code/debian/misc/ and its
dpkg -f output is below

[EMAIL PROTECTED]:~> dpkg -f debian/r-noncran-design_1.1.6-1_i386.deb 
Package: r-noncran-design
Version: 1.1.6-1
Section: math
Priority: optional
Architecture: i386
Depends: libc6 (>= 2.3.1-1), libg2c0 (>= 1:3.3-0pre9), libgcc1 (>= 
1:3.3-0pre9), r-base-core (>= 1.7.1), r-noncran-hmisc
Installed-Size: 3244
Maintainer: Dirk Eddelbuettel <[EMAIL PROTECTED]>
Source: design
Description: GNU R regression modeling strategies tools by Frank Harrell
 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, ordinary
 linear models, and the Buckley-James model.
 .
 See Frank Harrell (2002), Regression Modeling Strategies, Springer
 Series in Statistics, and http://hesweb1.med.virginia.edu/biostat/rms


as well as the DESCRIPTION file used by the GNU R package system:

Package: Design
Version: 1.1-6
Date: 2003-05-20
Title: Design Package
Author: Frank E Harrell Jr <[EMAIL PROTECTED]>
Maintainer: Frank E Harrell Jr <[EMAIL PROTECTED]>
Depends: R (>= 1.4), Hmisc (>= 1.4-2), survival
Description: 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, ordinary linear models,
        and the Buckley-James model.
License: GPL version 2 or newer
URL: http://hesweb1.med.virginia.edu/biostat/rms

Comments welcome,  Dirk


-- 
Don't drink and derive. Alcohol and analysis don't mix.


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