Displaying 7 results from an estimated 7 matches for "jsekhon".
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sekhon
2004 Feb 20
0
New Package: multinomRob
...u>
Maintainer: Jasjeet Singh Sekhon <jasjeet_sekhon at harvard.edu>
Description: overdispersed multinomial regression using robust (LQD and tanh) estimation
Depends: R (>= 1.7.0), rgenoud (>= 1.22), MASS (>= 7.1-8), mvtnorm (>= 0.6-3)
License: GPL version 2 or later
URL: http://jsekhon.fas.harvard.edu/robust/
We look forward to receiving questions, comments and suggestions.
Cheers,
Jas.
======================================
Jasjeet S. Sekhon
Associate Professor
Harvard University
Center for Basic Research in the
Social Sciences
jsekhon at fas.harvard.edu
http://jsekhon.fa...
2004 Feb 20
0
New Package: multinomRob
...u>
Maintainer: Jasjeet Singh Sekhon <jasjeet_sekhon at harvard.edu>
Description: overdispersed multinomial regression using robust (LQD and tanh) estimation
Depends: R (>= 1.7.0), rgenoud (>= 1.22), MASS (>= 7.1-8), mvtnorm (>= 0.6-3)
License: GPL version 2 or later
URL: http://jsekhon.fas.harvard.edu/robust/
We look forward to receiving questions, comments and suggestions.
Cheers,
Jas.
======================================
Jasjeet S. Sekhon
Associate Professor
Harvard University
Center for Basic Research in the
Social Sciences
jsekhon at fas.harvard.edu
http://jsekhon.fa...
2004 Oct 22
0
New Package for Multivariate and Propensity Score Matching
...s been obtained by the matching procedure. These tests can also be
used to determine if an experiment or quasi-experiment is balanced on
baseline covariates. The functions provide valid standard errors and
allow one to estimate various estimands.
For documentation and further details see:
http://jsekhon.fas.harvard.edu/matching
Cheers,
Jas.
======================================
Jasjeet S. Sekhon
Associate Professor
Harvard University
Center for Basic Research in the
Social Sciences
jasjeet_sekhon at harvard.edu
http://jsekhon.fas.harvard.edu/
Office: 617.496.2426 Fax: 617.507.5524
_________...
2004 Oct 22
0
New Package for Multivariate and Propensity Score Matching
...s been obtained by the matching procedure. These tests can also be
used to determine if an experiment or quasi-experiment is balanced on
baseline covariates. The functions provide valid standard errors and
allow one to estimate various estimands.
For documentation and further details see:
http://jsekhon.fas.harvard.edu/matching
Cheers,
Jas.
======================================
Jasjeet S. Sekhon
Associate Professor
Harvard University
Center for Basic Research in the
Social Sciences
jasjeet_sekhon at harvard.edu
http://jsekhon.fas.harvard.edu/
Office: 617.496.2426 Fax: 617.507.5524
_________...
2003 Aug 26
4
R on Linux/Opteron?
Dear R-help:
Has anyone tried using R on the the AMD Opteron in either 64- or 32-bit
mode? If so, any good/bad experiences, comments, etc? We are considering
getting this hardware, and would like to know if R can run smoothly on such
a beast. Any comment much appreciated.
Best,
Andy
Andy Liaw, PhD
Biometrics Research PO Box 2000, RY33-300
Merck Research Labs Rahway, NJ
2005 Mar 02
1
Rounding parameter values in genoud(), Rgenoud package
I would like to limit the significant figures of the calibrated
parameters determined by genoud() in the Rgenoud package. Below is some
example output, where column 1 is model run number, columns 2-7 are the
parameter values, and columns 8-12 are model fit statistics. I would
like genoud to internally limit parameters to 4 decimal places as shown
in this output. It is clear that the function is
1999 Jul 10
0
R,S,Octave,Matlab:SUMMARY
...ave an important
> (at least for me) question: How is R compared
> to the new version of Splus 5.0 (for unix including Linux)?
>
> I must pay particular atention to the efficiency
> with large datasets and, more generally speaking,
> to the efficiency with memory management.
jsekhon at fas.harvard.edu
1. I've found Splus 5.1 for LINUX to have far worse memory management than
Splus 3.x. There are several key memory bugs listed in the release notes.
One being that Splus doesn't recover memory well (at all?) in for loops.
2. I've found R to be much faster than 5.1 i...