search for: imai

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2004 Feb 28
2
matrix inverse in C
...lesky factor of a matrix using the Fortran/C library of R: and how to call them from C. My code is based on the Numerical Reciepe code, and I'm trying to use something that is already in R. Thanks for your help in advance, Kosuke --------------------------------------------------------- Kosuke Imai Office: Corwin Hall 041 Assistant Professor Phone: 609-258-6601 (Direct) Department of Politics Fax: 609-258-1110 (Department) Princeton University Email: kimai at Princeton.Edu Princeton, NJ 08544-1012 http://www.princeton.edu/~kimai
2010 Jul 11
0
New package "list" for analyzing list survey experiments
Dear all, Kosuke Imai and I announce the new package "list," which is now available on CRAN. list: Multivariate Statistical Analysis for the Item Count Technique List allows researchers to conduct multivariate statistical analyses with data from the item count technique for sensitive survey questions. This s...
2010 Jul 11
0
New package "list" for analyzing list survey experiments
Dear all, Kosuke Imai and I announce the new package "list," which is now available on CRAN. list: Multivariate Statistical Analysis for the Item Count Technique List allows researchers to conduct multivariate statistical analyses with data from the item count technique for sensitive survey questions. This s...
2004 Apr 24
1
determinant via Lapack
Hi, What Lapack routine(s) should I use to calculate the determinant of a symmetric matrix of real numbers? I would appreciate any guidance on this issue. Thanks, Kosuke --------------------------------------------------------- Kosuke Imai Office: Corwin Hall 041 Assistant Professor Phone: 609-258-6601 (Direct) Department of Politics Fax: 609-258-1110 (Department) Princeton University Email: kimai at Princeton.Edu Princeton, NJ 08544-1012 http://www.princeton.edu/~kimai
2004 Jun 29
0
MNP
...te Carlo. Along with the standard multinomial probit model, it can also fit models with different choice sets for each observation, and complete or partial ordering of all the available alternatives. The computation is based on the efficient marginal data augmentation algorithm that is developed by Imai and van Dyk (2004) ``A Bayesian Analysis of the Multinomial Probit Model Using the Data Augmentation,'' Journal of Econometrics, Forthcoming. Kosuke Imai, Department of Politics, Princeton University Jordan R. Vance, Department of Computer Science, Princeton University David A. van Dyk,...
2004 Dec 22
0
eco 1.0-1 released
...sian Models of Ecological Inference in 2 by 2 Tables Abstract: eco is a publicly available R package that fits parametric and nonparametric Bayesian models for ecological inference in 2 by 2 tables. The models are fit using the Markov chain Monte Carlo algorithms that are described in a paper by Imai and Lu ( http://www.princeton.edu/~kimai/research/einonpar.html ). ======================================================================= Ying Lu, Office of Population Research, Woodrow Wilson School of Public and International Affairs, Princeton University Kosuke Imai, Department of Poli...
2005 Jan 11
0
New package: MatchIt
We would like to announce the release of our software MatchIt, now available on CRAN. MatchIt implements a variety of matching methods for causal inference. Abstract: MatchIt implements the suggestions of Ho, Imai, King, and Stuart (2004) for improving parametric statistical models by preprocessing data with nonparametric matching methods. MatchIt implements a wide range of sophisticated matching methods, making it possible to greatly reduce the dependence of causal inferences on hard-to-justify, but com...
2004 Jun 29
0
MNP
...te Carlo. Along with the standard multinomial probit model, it can also fit models with different choice sets for each observation, and complete or partial ordering of all the available alternatives. The computation is based on the efficient marginal data augmentation algorithm that is developed by Imai and van Dyk (2004) ``A Bayesian Analysis of the Multinomial Probit Model Using the Data Augmentation,'' Journal of Econometrics, Forthcoming. Kosuke Imai, Department of Politics, Princeton University Jordan R. Vance, Department of Computer Science, Princeton University David A. van Dyk,...
2005 Jan 11
0
New package: MatchIt
We would like to announce the release of our software MatchIt, now available on CRAN. MatchIt implements a variety of matching methods for causal inference. Abstract: MatchIt implements the suggestions of Ho, Imai, King, and Stuart (2004) for improving parametric statistical models by preprocessing data with nonparametric matching methods. MatchIt implements a wide range of sophisticated matching methods, making it possible to greatly reduce the dependence of causal inferences on hard-to-justify, but com...
2004 Dec 22
0
eco 1.0-1 released
...sian Models of Ecological Inference in 2 by 2 Tables Abstract: eco is a publicly available R package that fits parametric and nonparametric Bayesian models for ecological inference in 2 by 2 tables. The models are fit using the Markov chain Monte Carlo algorithms that are described in a paper by Imai and Lu ( http://www.princeton.edu/~kimai/research/einonpar.html ). ======================================================================= Ying Lu, Office of Population Research, Woodrow Wilson School of Public and International Affairs, Princeton University Kosuke Imai, Department of Poli...
2004 Mar 19
1
R_qsort_int_I() error
...ude/R_ext/Boolean.h:29: conflicting types for `TRUE' /usr/include/Rmath.h:175: previous declaration of `TRUE' /usr/include/R_ext/Boolean.h:29: confused by earlier errors, bailing out make: *** [Gibbs] Error 1 Thanks, Kosuke --------------------------------------------------------- Kosuke Imai Office: Corwin Hall 041 Assistant Professor Phone: 609-258-6601 (Direct) Department of Politics Fax: 609-258-1110 (Department) Princeton University Email: kimai at Princeton.Edu Princeton, NJ 08544-1012 http://www.princeton.edu/~kimai
2004 Mar 30
2
RAqua and gcc
Hi, I've recently purchased PowerBookG4 (panther) and installed RAqua 1.8.1. I also installed gcc version 3.3 through Xcode tools. But, for some reason, I'm having a hard time getting gcc work with R. For example, I get the following error while installing Hmisc package. I would appreciate any suggestion to fix this problem. Thanks Kosuke * Installing *source* package
2011 Apr 26
2
Wish R Core had a standard format (or generic function) for "newdata" objects
...ons. I think many users trip over the use of "options" there. If I don't use that for a month or two, I completely forget the fine points and have to fight with it. But it does "work" to give plots and predict functions the information they require. In Zelig ( by Kosuke Imai, Gary King, and Olivia Lau), a function "setx" does the work of creating "newdata" objects. That appears to be about right as a candidate for a generic "newdata" function. Perhaps it could directly generalize to all R regression functions, but right now it is tailored...
2004 Dec 03
3
multinomial probit
Hello All, I'm trying to run a multinomial probit on a dataset with 28 data points and five levels (0,1,2,3,4) in the latent choice involving response variable. I downloaded the latest mnp package to run the regression. It starts the calculation and then crashes the rpogram. I wish I could give the error message but it literally shuts down R without a warning. I'm using the R
2006 Jun 11
3
[SUMMARY] Rails Core Weekly June 5 - June 11
...lt;/a> _Cool Enhancements (not commited yet)_ An enhancement to Marcel Molina Jr.''s original <a href="http://dev.rubyonrails.org/changeset/3118">Symbol#to_proc</a> is further enhanced by by <a href="http://dev.rubyonrails.org/ticket/5295">Nobuhiro Imai</a>. Symbol#to_proc does: <pre> {1 => "one", 2 => "two", 3 => "three"}.sort_by(&:first).map(&:last) #=> ["one", "two", "three"] </pre> (Earlier <a href="http://blogs.pragprog.com/cgi-bin/pr...
2005 May 24
0
R Packages and code published in JSS in 2005
...ng R Volume 12, Issue 05 Baddeley and Turner spatstat: An R Package for Analyzing Spatial Point Patterns Volume 12, Issue 06 Johnstone and Silverman EbayesThresh: R Programs for Empirical Bayes Thresholding Volume 12, Issue 08 Nason pinktoe: Semi-automatic Traversal of Trees Volume 14, Issue 01 Imai and Van Dyk MNP: R Package for Fitting the Multinomial Probit Model Volume 14, Issue 03 Buttrey Calling the lp_solve Linear Program Software from R, S-PLUS and Excel Volume 14, Issue 04 Zeileis and Grothendieck zoo: S3 Infrastructure for Regular and Irregular Time Series Volume 14, Issue 06 Terp...
2004 Mar 23
0
New R package
Zelig: Everyone's Statistical Software Kosuke Imai, Gary King and Olivia Lau Version 1.0 (Available at http://gking.harvard.edu/zelig) A growing proportion of statisticians and methodologists from many disciplines are converging on R, a powerful statistics package and programming language. As an open so...
2005 May 24
0
R Packages and code published in JSS in 2005
...ng R Volume 12, Issue 05 Baddeley and Turner spatstat: An R Package for Analyzing Spatial Point Patterns Volume 12, Issue 06 Johnstone and Silverman EbayesThresh: R Programs for Empirical Bayes Thresholding Volume 12, Issue 08 Nason pinktoe: Semi-automatic Traversal of Trees Volume 14, Issue 01 Imai and Van Dyk MNP: R Package for Fitting the Multinomial Probit Model Volume 14, Issue 03 Buttrey Calling the lp_solve Linear Program Software from R, S-PLUS and Excel Volume 14, Issue 04 Zeileis and Grothendieck zoo: S3 Infrastructure for Regular and Irregular Time Series Volume 14, Issue 06 Terp...
2009 Oct 30
1
Package zelig
hello all I am using the R package Zelig for some tobit regression with robust standard errors. I have got R version 2.9.2 (2009-08-24) and Zelig Version: 3.4-5 when i do demo(robust) It ends like this way data(coalition) > # Fit the model with robust standard error > user.prompt() Press <return> to continue: > z.out3 <- zelig(Surv(duration, ciep12) ~ polar + numst2 +
2009 Feb 13
0
Difference MNP-package and rmnpGibbs from bayesm-package
Hi all, For my research I have to use a Multinomial Probit model. I saw that there are two packages, that include a method to estimate my parameters. The first one is the MNP-package of Imai and van Dyk. The second one is part of the bayesm-package of Rossi. The results for both packages are not the same using the same data. Does anybody know what the difference is between these two approaches? Kind regards, Tryntsje