new versions of: lmtest, strucchange, ineq

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From: Achim Zeileis (zeileis@ci.tuwien.ac.at)
Date: Thu 20 Dec 2001 - 07:41:07 EST


Message-id: <3C20FB63.D9933CF1@ci.tuwien.ac.at>


Dear R users,

there are new versions of the following packages on CRAN:
  o lmtest 0.9-0
  o strucchange 0.9-4
  o ineq 0.2-1

Changes/fixes in "lmtest":
There have been several bug fixes and the interfaces to all functions
have been improved such that their use is much more flexible.
Furthermore we have added:
  - p values for the Durbin-Watson test
  - studentized version of the Breusch-Pagan test
  - flexible specification of the alternative hypothesis of the RESET
test
  - simulated p values for the Harrison-McCabe test
  - data sets with examples

Changes/fixes in "strucchange":
Besides a few minor changes and improvements there is a new fixed
version of the function Fstats(), which provides also computation of F
statistics based on
heteroskedasticity-consistent covariance estimation.

Changes/fixes in "ineq":
The empirical and theoretical Lorenz curves have now their own classes
with
plot- and lines-method. A data set with examples has been added and a
few bugs were fixed.

>From the DESCRIPTION files:

Package: lmtest
Title: Testing Linear Regression Models
Version: 0.9-0
Date: 2001-12-01
Author: Torsten Hothorn <Torsten.Hothorn@rzmail.uni-erlangen.de>
 Achim Zeileis <zeileis@ci.tuwien.ac.at>
Maintainer: Achim Zeileis <zeileis@ci.tuwien.ac.at>
Description: A collection of tests, data sets and examples
 for testing the assumptions of linear regression models.
License: GPL

>From the DESCRIPTION:
Package: strucchange
Version: 0.9-4
Date: 2001-12-01
Title: Testing for Structural Change
Author: Achim Zeileis, Friedrich Leisch, Bruce Hansen,
        Kurt Hornik, Christian Kleiber, Andrea Peters
Maintainer: Achim Zeileis <zeileis@ci.tuwien.ac.at>
Description: Testing on structural change in linear regression
             relationships. It features tests/methods from the
generalized
             fluctuation test framework as well as from the F test (Chow
test)
             framework. This includes methods to fit, plot and test
fluctuation
             processes (e.g. CUSUM, MOSUM, recursive/moving estimates)
and
             F statistics, respectively. Furthermore it is possible to
monitor
             incoming data online.
Depends: R (>= 1.3.0)
License: GPL

Package: ineq
Version: 0.2-1
Date: 2001-11-29
Title: Measuring inequality, concentration and poverty
Author: Achim Zeileis <zeileis@ci.tuwien.ac.at>
Maintainer: Achim Zeileis <zeileis@ci.tuwien.ac.at>
Description: Inequality, concentration and poverty measures
             Lorenz curves (empirical and theoretical)
License: GPL

Seasonal greetings :-)
Achim
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