[R] RE: new packages: geepack and KMsurv
Sendak, John
jsendak at omniwhittington.co.uk
Mon Oct 7 11:30:28 CEST 2002
I downloaded geepack from your site and installed it from the zip file.
However, although it appears under my library directory, I could not load
into R.
Regards
John Sendak
platform i386-pc-mingw32
arch i386
os mingw32
system i386, mingw32
status
major 1
minor 6.0
year 2002
month 10
day 01
language R
-----Original Message-----
From: Jun Yan [mailto:jyan at stat.wisc.edu]
Sent: 07 October 2002 04:59
To: r-announce at r-project.org
Subject: new packages: geepack and KMsurv
I uploaded two packages to cran two weeks ago, and have just compiled them
for windows using the cross-building tools on linux. Now I would like to
anounce their existence.
The first package, geepack, is generalized estimating equations modeling
for both mean and association structure for multivariate responses. The
DESCRIPTION file is
Package: geepack
Version: 0.1-4
Date: 2002/9/28
Title: Generalized Estimating Equation Package
Author: Jun Yan <jyan at stat.wisc.edu>
Maintainer: Jun Yan <jyan at stat.wisc.edu>
Description: Generalized estimating equations solver for parameters in
mean, scale, and correlation structures, through mean link, scale link, and
correlation link. Can also handle clustered categorical responses.
License: GPL version 2 or later.
The second package KMsurv is a data package for the textbook Klein and
Moeschberger (1997), Survival Analysis. It may be useful in teaching
or studying such a course. The DESCRIPTION file is
Package: KMsurv
Version: 0.1-1
Date: 2002/05/18
Title: Data sets from Klein and Moeschberger (1997), Survival Analysis
Author: Original by Klein and Moeschberger
modifications by Jun Yan <jyan at stat.wisc.edu>
Maintainer: Jun Yan <jyan at stat.wisc.edu>
Description: Data sets and functions for Klein and Moeschberger (1997),
"Survival Analysis, Techniques for Censored and Truncated Data",
Springer.
Depends: survival
License: GPL version 2.0 or later
The windows version of these packages are available at
http://franz.stat.wisc.edu/~jyan/mysoft/
I am grateful to Professor Douglas Bates and Professor Jason Fine for
encouragement, discussions and comments.
Please kindly let me know if there are any questions, comments,
and bugs of course.
Jun Yan
Department of Statistics Office: CSSC 4252
university of Wisconsin-Madison Tel: (608)262-7478
1210 W. Dayton St. Email: jyan at stat.wisc.edu
Madison, WI 53706 URL: http://www.stat.wisc.edu/~jyan
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