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st: New version of -xglm- on SSC


From   "Roger B. Newson" <[email protected]>
To   "[email protected]" <[email protected]>
Subject   st: New version of -xglm- on SSC
Date   Mon, 18 Jun 2012 10:21:05 +0100

Thanks as always to Kit Baum, a new version of the -xglm- package is now available for download from SSC. In Stata, use the -ssc- command to do this, or -adoupdate- if you already have an old version of -xglm-.

The -xglm- package is described as below on my website, and is an extended version of -glm-. The new version has an updated online help file.

Best wishes

Roger

--
Roger B Newson BSc MSc DPhil
Lecturer in Medical Statistics
Respiratory Epidemiology and Public Health Group
National Heart and Lung Institute
Imperial College London
Royal Brompton Campus
Room 33, Emmanuel Kaye Building
1B Manresa Road
London SW3 6LR
UNITED KINGDOM
Tel: +44 (0)20 7352 8121 ext 3381
Fax: +44 (0)20 7351 8322
Email: [email protected]
Web page: http://www.imperial.ac.uk/nhli/r.newson/
Departmental Web page:
http://www1.imperial.ac.uk/medicine/about/divisions/nhli/respiration/popgenetics/reph/

Opinions expressed are those of the author, not of the institution.

----------------------------------------------------------------------------------------
package xglm from http://fmwww.bc.edu/RePEc/bocode/x
----------------------------------------------------------------------------------------

TITLE
      'XGLM': module to extend glm

DESCRIPTION/AUTHOR(S)

       xglm is an extended version of glm, designed mostly for use with
      the parmby option of the parmest package, downloadable from SSC.

      KW: glm
      KW: generalized linear models

      Requires: Stata version 11

      Distribution-Date: 20120617

Author: Roger Newson, National Heart and Lung Institute at Imperial College London
      Support: email [email protected]


INSTALLATION FILES                                  (click here to install)
      xglm.ado
      xglm.sthlp
----------------------------------------------------------------------------------------
(click here to return to the previous screen)
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