( Statistical Software | Other
Software )
Note: If you find a bug in any of the
following software, please check the documentation to see if you've
installed the program properly, verify that the bug exists in the
current version, and then email an exact description of what you tried
and what you saw on the screen afterwards to the right listserv
indicated.
JudgeIt II: A Program for Evaluating Electoral
Systems and Redistricting Plans by Andrew Gelman, Gary
King, and Andrew C. Thomas . A program for analyzing most any
feature of district-level legislative elections data, including
prediction, evaluating redistricting plans, estimating
counterfactual hypotheses (such as what would happen if a
term-limitation amendment were imposed). This implements
statistical procedures described in a series of journal articles
and has been used during redistricting in many states by judges,
partisans, governments, private citizens, and many
others. The earlier version was winner of the APSA Research
Software Award. (JudgeIt IIWebsite |
Track JudgeIt changes | Earlier
version:Website)
ReadMe: Software for
Automated Content Analysis by Daniel Hopkins, Gary King,
Matthew Knowles, and Steven Melendez. This program will read
and analyze a large set of text documents and report on the
proportion of documents in each of a set of given
categories. (ReadMe:Website |
Track ReadMe changes)
Amelia II: A Program for
Missing Data by James Honaker, Gary King, and Matthew
Blackwell. This program multiply imputes missing data in
cross-sectional, time series, and time series cross-sectional
data sets. It includes a Windows version (no knowledge of R
required), and a version that works with R either from the
command line or via a GUI (Website:Amelia II |
Track Amelia changes | Earlier
version:Website)
Zelig: Everyone's Statistical Software,
by Kosuke Imai, Gary King, and Olivia Lau, is a complete statistical
package and framework for statistical inference that can estimate,
help interpret, and present the results from, a large range of
statistical methods. Zelig, which works within R, and has features
from Clarify, Amelia, MatchIt, ReLogit, and many other
programs. It adds powerful infrastructure, but retains an
easy-to-use command structure. Note that the Zelig manual doesn't
assume you know R. (Website:Zelig
| Track Zelig changes.)
YourCast: Time Series Cross-Sectional
Forecasting with
Your Assumptions implements the methods introduced in
Federico Girosi and Gary King's book manuscript on Demographic
Forecasting. These methods enable one to run sets of time
series regressions, each with possibly different sets of
explanatory variables, while still borrowing strength in a variety
of sophisticated ways. The methods enable much more information to
be included in the model, both through covariates and new more
informative ways of constructing Bayesian priors in hierarchical
and spatial settings. (Website:YourCast | Track Yourcast changes.)
WhatIf: Software for Evaluating
Counterfactuals by Heather Stoll, Gary King, and Langche
Zeng. WhatIf offers easy-to-apply methods to evaluate
counterfactuals (causal inferences, predictions, and
hypothetical questions) that do not require sensitivity testing
over specified classes of models. If an analysis fails the tests
offered here, then we know that substantive inferences will be
sensitive to at least some modeling choices that are not based
on empirical evidence, no matter what method of inference one
chooses to use. WhatIf implements the methods in Gary King and
Langche Zeng. 2006. The Dangers of Extreme
Counterfactuals, Political Analysis,
forthcoming, and Gary King and Langche Zeng. 2006 (Abstract: HTML). When Can History Be Our Guide? The Pitfalls of
Counterfactual Inference, International Studies
Quarterly, forthcoming. (Abstract:HTML | Website:WhatIf |
Track WhatIf changes.)
MatchIt: Nonparametric Preprocessing for Parametric Causal
Inference, by Daniel Ho, Kosuke Imai, Gary King,
Elizabeth Stuart, 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 commonly made, statistical
modeling assumptions. The software also easily fits into
existing research practices since, after preprocessing data with
MatchIt, researchers can use whatever parametric model they
would have used without MatchIt, but produce inferences with
substantially more robustness and less sensitivity to modeling
assumptions. MatchIt is an R program, and also works
seamlessly with Zelig. (Abstract:HTML | Website:MatchIt |
Track MatchIt changes.)
CLARIFY: Software for
Interpreting and Presenting Statistical Results by Michael
Tomz, Jason Wittenberg, and Gary King; version: 2.1,
1/5/2003. This is a set of easy-to-use Stata macros that implement the
techniques described in Gary King, Michael Tomz, and Jason
Wittenberg's "Making the
Most of Statistical Analyses: Improving Interpretation and
Presentation". To install Clarify, type "net from
http://gking.harvard.edu/clarify" at the Stata command
line. The documentation [ HTML | PDF ] explains how to do this. We
also provide a zip archive for
users who want to install Clarify on a computer that is not
connected to the internet. You may also be interested in an interactive
video on Clarify. Winner of the Okidata Best Research
Software Award. (All questions, bugs, requests: Clarify Listserv[Un-]Subscribe
or Search
archives). Also try -ssc install qsim- to install a
wrapper, donated by Fred Wolfe, to automate Clarify's simulation
of dummy variables.
EzI: A(n Easy) Program for Ecological
Inference
by Kenneth Benoit and Gary King. This is a
stand-alone, menu-oriented version of EI (see above) that runs
under Windows. It does not require Gauss or any other software to
run. EzI does everything EI does and with fewer startup costs but,
due to the lack of the Gauss command line, is somewhat less
flexible. Winner of the APSA Research Software
Award. (Software: EXE for Windows Version: 2.7,
4/14/2003 (See readme.1st, included.) | All questions,
bugs, requests: EI Listserv[Un-]Subscribe
or Search
archives)
Gauss Procedures. A set of utilities and
statistical procedures, for those who program in Gauss. (Guass Links:HTML | Track Gauss changes)
COUNT: A Program for Estimating Event Count and
Duration Regressions. A stand-alone, easy-to-use program
for running event count and duration regression models, developed
by and/or discussed in a series of journal articles by me. (Event
count models have a dependent variable measured as the number of
times something happens, such as the number of uncontested seats
per state or the number of wars per year. Duration models explain
dependent variables measured as the time until some event, such as
the number of months a parliamentary cabinet endures.) Winner of
the APSA Research Software Award. (The program includes
the program and documentation in ASCII and Latex; you may prefer
the postscript version.) (Be sure to
install ANSI.SYS before using.) (Software:Windows self-extracting EXE | Window pre-XP version Version:
8/11/2004)
Maxlik. A set of Gauss programs and
datasets (annotated
for pedagogical purposes) to implement many of the maximum
likelihood-based models I discuss in Unifying
Political Methodology: The Likelihood Theory of Statistical
Inference, Ann Arbor: University of Michigan Press, 1998, and
use in my class. All datasets are real, not simulated. (Software:DOS EXE | Andrew Martin's Data Sets in Stata:HTML)
Dataverse Network
Project, a set of integrated developments in web application
software, networking, data citation standards, and statistical methods
designed to put some of the universe of data and data sharing
practices on firmer ground. Create your own dataverse on your web
site, a virtual archive with numerous professional archiving services,
all without any local software installation.