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Re: re: st: Package -r2c- now available in SSC


From   Joseph Luchman <jluchman@gmail.com>
To   statalist@hsphsun2.harvard.edu
Subject   Re: re: st: Package -r2c- now available in SSC
Date   Mon, 8 Apr 2013 08:45:58 -0400

Thanks to Kit Baum, a new version of package -r2c- has been uploaded to SSC.

To update write - adoupdate r2c, update -

 r2c calculates r-square indexes based on deviance, likelihood ratio,
Pearson deviance, squared correlation, and explained variance.  The
indexes contained in the r2c command derive from Cameron and
Windmeijer (Journal of Business & Economic Statistics, 1996).

Major updates include:

a] bugs related to variable names and computations related to
zero-inflated models with offsets are fixed.
b] backwards compatible to Stata version 11.1.
c] compatibility with mi: and svy: prefixes (adjusts estimates for both).
d] new option to report only deviance-based statistics (e.g., option "devonly").
e] new option to allow dispersion parameter (alpha or delta) to be
estimated from the data for negative binomial models (option
"estdisp").
f] new option to allow a gnbreg to be compared to a baseline nbreg to
assess the contribution to fit from the lnalpha() equation (option
"gnbcons").
g] computes McFadden's pseudo r-square (not automatically generated
for some models; i.e., zero-inflated, models with svy: prefix).
h] automatically generated summarize w/ detail option removed (along
with option "nosummarize").

r2c requires Stata 11.1

- Joseph

Joseph Nicholas Luchman, M.A.
----
Senior Research Associate | Fors Marsh Group
Desk: 571 858 3770
Email: jluchman@forsmarshgroup.com
forsmarshgroup.com
----
Doctoral Candidate
Industrial Organizational Psychology
George Mason University
https://www.researchgate.net/profile/Joseph_Luchman/


2013/4/8 Joseph Luchman <jluchman@gmail.com>:
> Thanks to Kit Baum, a new version of package -r2c- has been uploaded to SSC.
>
> To update write - adoupdate r2c, update -
>
>  r2c calculates r-square indexes based on deviance, likelihood ratio,
> Pearson deviance, squared correlation, and explained variance.  The indexes
> contained in the r2c command derive from Cameron and Windmeijer (Journal of
> Business & Economic Statistics, 1996).
>
> Major updates include:
>
> a] bugs related to variable names and computations related to zero-inflated
> models with offsets are fixed.
> b] backwards compatible to Stata version 11.1.
> c] compatibility with mi: and svy: prefixes (adjusts estimates for both).
> d] new option to report only deviance-based statistics (e.g., option
> "devonly").
> e] new option to allow dispersion parameter (alpha or delta) to be
> estimated from the data for negative binomial models (option "estdisp").
> f] new option to allow a gnbreg to be compared to a baseline nbreg to
> assess the contribution to fit from the lnalpha() equation (option
> "gnbcons").
> g] computes McFadden's pseudo r-square (not automatically generated for
> some models; i.e., zero-inflated, models with svy: prefix).
> h] automatically generated summarize w/ detail option removed (along with
> option "nosummarize").
>
> r2c requires Stata 11.1
>
> - Joseph
>
> Joseph Nicholas Luchman, M.A.
> ----
> Senior Research Associate | Fors Marsh Group
> ----
> Doctoral Candidate
> Industrial Organizational Psychology
> George Mason University
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