Bug#198569: [ITP]: r-noncran-design -- Regression modeling strategies
Package: wnpp
Severity: wishlist
* Package name : r-noncran-design
Version : 1.1.6
Upstream Author : Frank Harrell <fharrell@virginia.edu>
* 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
edd@sonny:~> 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 <edd@debian.org>
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 <fharrell@virginia.edu>
Maintainer: Frank E Harrell Jr <fharrell@virginia.edu>
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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