Package: WhatIf Version: 1.5-5 Date: 2009-03-03 Title: WhatIf: Software for Evaluating Counterfactuals Author: Heather Stoll , Gary King , Langche Zeng , Maintainer: Heather Stoll Depends: R (>= 2.3.1), lpSolve Description: Inferences about counterfactuals are essential for prediction, answering what if questions, and estimating causal effects. However, when the counterfactuals posed are too far from the data at hand, conclusions drawn from well-specified statistical analyses become based largely on speculation hidden in convenient modeling assumptions that few would be willing to defend. Unfortunately, standard statistical approaches assume the veracity of the model rather than revealing the degree of model-dependence, which makes this problem hard to detect. WhatIf offers easy-to-apply methods to evaluate counterfactuals 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 for evaluating counterfactuals discussed in Gary King and Langche Zeng, 2006, "The Dangers of Extreme Counterfactuals," Political Analysis 14 (2); and Gary King and Langche Zeng, 2007, "When Can History Be Our Guide? The Pitfalls of Counterfactual Inference," International Studies Quarterly 51 (March). License: GPL version 2 or newer URL: http://gking.harvard.edu/whatif Package: Amelia Version: 1.2-13 Date: 2009-08-19 Title: Amelia II: A Program for Missing Data Author: James Honaker , Gary King , Matthew Blackwell Maintainer: Matthew Blackwell Depends: R (>= 2.0.0), foreign, utils Description: Amelia II "multiply imputes" missing data in a single cross-section (such as a survey), from a time series (like variables collected for each year in a country), or from a time-series-cross-sectional data set (such as collected by years for each of several countries). Amelia II implements our bootstrapping-based algorithm that gives essentially the same answers as the standard IP or EMis approaches, is usually considerably faster than existing approaches and can handle many more variables. Unlike Amelia I and other statistically rigorous imputation software, it virtually never crashes (but please let us know if you find to the contrary!). The program also generalizes existing approaches by allowing for trends in time series across observations within a cross-sectional unit, as well as priors that allow experts to incorporate beliefs they have about the values of missing cells in their data. Amelia II also includes useful diagnostics of the fit of multiple imputation models. The program works from the R command line or via a graphical user interface that does not require users to know R. License: GPL version 2 or newer URL: http://gking.harvard.edu/amelia Suggests: tcltk, Zelig Package: ReadMe Version: 0.992 Date: 2009-06-29 Title: ReadMe: Software for Automated Content Analysis Author: Daniel Hopkins , Gary King , Maintainer: Daniel Hopkins Depends: R (>= 2.0.0), VA (>= 0.0.3) Description: The ReadMe software package for R takes as input a set of text documents (such as speeches, blog posts, newspaper articles, judicial opinions, movie reviews, etc.), a categorization scheme chosen by the user (e.g., ordered positive to negative sentiment ratings, unordered policy topics, or any other mutually exclusive and exhaustive set of categories), and a small subset of text documents hand classified into the given categories. If used properly, ReadMe will report, within sampling error of the truth, the proportion of documents within each of the given categories among those not hand coded. ReadMe computes the distribution within categories without the more error prone intermediate step of classifing individual documents. Various other procedures are included to make processing text easy. See Daniel Hopkins and Gary King, "A Method of Automated Nonparametric Content Analysis for Social Science," American Journal of Political Science, http://gking.harvard.edu/files/abs/words-abs.shtml License: Creative Commons Attribution-Noncommercial-No Derivative Works 3.0, for academic use only URL: http://gking.harvard.edu/readme Package: MatchIt Version: 2.4-13 Date: 2009-10-25 Title: MatchIt Author: Daniel Ho , Elizabeth Stuart , Kosuke Imai , Gary King Maintainer: Kosuke Imai Depends: R (>= 2.7), MASS Description: MatchIt preprocesses data by selecting approximate matched samples of the treated and control groups with similar covariate distributions, drawing on a large variety of matching methods. After preprocessing data with MatchIt, whatever standard parametric technique one might have used without preprocessing can be used, but the results will be far less model dependent. License: GPL (>= 2) URL: http://gking.harvard.edu/matchit/ Suggests: cem, optmatch, Matching, WhatIf, nnet, rpart, mgcv Package: VA Version: 0.9-2.10 Date: 2009-07-13 Title: Verbal Autopsies Author: Gary King , Ying Lu Maintainer: Ying Lu Depends: R (>= 2.2.1) Description: VA is a R package that estimates the cause-specific mortality rates based on verbal autopsy data. License: Creative Commons Attribution-Noncommercial-No Derivative Works 3.0, for academic use only URL: http://gking.harvard.edu/ Package: Galileo Version: 0.081101 Date: 2009-06-17 Title: Galileo: Cluster Analysis Algorithms Author: Justin Grimmer Gary King Maintainer: Justin Grimmer Depends: R (>= 2.6.0) Description: License: Creative Commons Attribution-Noncommercial-No Derivative Works 3.0, for academic use only URL: http://gking.harvard.edu/galileo Package: Judgem Version: 1.0-1 Date: 2006-09-22 Title: Judgem Author: Gary King , Andrew C. Thomas Maintainer: Andrew C. Thomas Depends: R (>= 2.2.1),mvtnorm Description: Investigates two-party elections based on the behaviour of their districts. License: GPL version 2 or newer URL: http://gking.harvard.edu/ Package: YourCast Version: 1.1-5 Date: 2009-10-05 Title: YourCast Author: Federico Girosi Gary King Jon Bischof Maintainer: Gary King Depends: R (>= 1.9.0), foreign, lattice Description: YourCast makes time series cross-sectional forecasts with multiple cross-sections based on your assumptions. It allows a variety of smoothing assumptions based on similarities among the levels, trends, or interactions in the expected value of the dependent variable rather than the coefficients. YourCast implements ideas in the book Federico Girosi and Gary King. DEMOGRAPHIC FORECASTING. Princeton University Press, 2008; see http://gking.harvard.edu/files/smooth/ License: file LICENSE URL: http://gking.harvard.edu/yourcast Package: CEM Version: 0.01 Date: 2008-03-26 Title: CEM Author: Gary King Maintainer: Gary King Depends: R (>= 2.6.0) Description: License: Creative Commons Attribution-Noncommercial-No Derivative Works 3.0, for academic use only URL: http://gking.harvard.edu/CEM Package: ei Version: 0.066 Date: 2009-10-30 Title: EI: A(n R) Program for Ecological Inference Author: Gary King (original gauss program) Elena Villalon and Alex Damour(R port) Maintainer: Alex D'amour Ferdinand Alimadhi Depends: R (>= 2.5.0), mvtnorm Description: This program provides a method of inferring individual behavior from aggregate data. It implements the statistical procedures, diagnostics, and graphics from A Solution to the Ecological Inference Problem: Reconstructing Individual Behavior from Aggregate Data (Princeton: Princeton University Press, 1997), by Gary King. License: GPL (>= 2) URL: http://gking.harvard.edu/eiR Suggests: Package: anchors Version: 1.9-2 Date: 2006-09-19 Title: Anchors: Software for Anchoring Vignettes Author: Jonathan Wand , Gary King , Olivia Lau Maintainer: Olivia Lau Depends: R (>= 2.3.0), combinat, rgenoud, MASS Description: Tools for analyzing survey responses with anchors. License: GPL version 2 or newer URL: http://gking.harvard.edu/anchors Package: JudgeIt Version: 1.3.4 Date: 2008-09-19 Title: JudgeIt Author: Andrew Gelman , Gary King , Andrew C. Thomas Maintainer: Andrew C. Thomas Depends: R (>= 2.4) Description: Calculates bias, responsiveness, and other characteristics of two-party electoral systems, with district-level electoral and other data. License: GPL version 2 URL: http://gking.harvard.edu/ Package: Zelig Version: 3.4-7 Date: 2009-10-23 Title: Everyone's Statistical Software Author: Kosuke Imai , Gary King , Olivia Lau Maintainer: Kosuke Imai Depends: R (>= 2.6.0), MASS, boot Description: Zelig is an easy-to-use program that can estimate, and help interpret the results of, an enormous range of statistical models. It literally is ``everyone's statistical software'' because Zelig's simple unified framework incorporates everyone else's (R) code. We also hope it will become ``everyone's statistical software'' for applications and teaching, and so have designed Zelig so that anyone can easily use it or add their programs to it. Zelig also comes with infrastructure that facilitates the use of any existing method, such as by allowing multiply imputed data for any model, and mimicking the program Clarify (for Stata) that takes the raw output of existing statistical procedures and translates them into quantities of direct interest. License: GPL (>=2) URL: http://gking.harvard.edu/zelig Suggests: VGAM (>= 0.7-5), MCMCpack (>= 0.8-2), mvtnorm, survival, sandwich (>= 2.1-0), zoo (>= 1.5-0), coda, nnet, sna, gee, systemfit, mgcv, lme4, anchors (>= 2.0), survey Package: experiment Version: 1.0-1 Date: 2007-07-15 Title: experiment Author: Kosuke Imai , Gary King , Maintainer: Kosuke Imai Depends: R (>= 2.0.0), MASS Description: experiments License: GPL version 2 or newer URL: undefined Suggests: undefined Package: cem Version: 1.0.128 Date: 2009-11-07 Title: CEM: Software for Coarsened Exact Matching Author: Stefano Iacus Gary King Giuseppe Porro Maintainer: Gary King Depends: R (>= 2.6.0), nlme, lattice, randomForest Description: This program implements the coarsened exact matching algorithm (and many extensions) described in Stefano M. Iacus, Gary King, and Giuseppe Porro, "Causal Inference Without Balance Checking: Coarsened Exact Matching," http://gking.harvard.edu/files/abs/cem-plus-abs.shtml License: GPL-2 URL: http://gking.harvard.edu/cem Suggests: Amelia(>= 1.2-0), MatchIt Package: RSNL Version: 0.11 Date: 2009-08-31 Title: RSNL Author: Anthony Fader Gary King Daniel Pemstein Kevin Quinn Maintainer: Daniel Pemstein Depends: R (>= 2.6.0), methods, tm, Rstem, rJava Description: RSNL (pronounced "arsenal") is open source software platform for the statistical analysis of unstructured textual data, written for the R language for statistical computing. License: GPL (>= 2) URL: http://gking.harvard.edu/RSNL/ Collate: onload.R RClass.R Pattern.R Matcher.R Tagged.R nulls.R keepGlobals.R ViewableObject.R PCorpus.R View.R CorpusView.R DocumentView.R TokenizedView.R TokenizedCorpusView.R TokenizedDocumentView.R Tokenizer.R RegexTokenizer.R OffsetTokenizer.R PTBTokenizer.R TaggedView.R TaggedDocumentView.R TaggedCorpusView.R Tagger.R MaxentTagger.R NamedEntityTagger.R DocumentFilter.R FunctionalDocumentFilter.R RegexDocumentFilter.R TokenTransform.R FunctionalTokenTransform.R RegexTokenTransform.R TolowerTokenTransform.R Stemmer.R SnowballStemmer.R TokenFilter.R FunctionalTokenFilter.R StopFilter.R RegexTokenFilter.R TokenDocFreqFilter.R EmptyTokenFilter.R PunctTokenFilter.R FunctionalTagFilter.R RegexTagFilter.R lda.R defaults.R zzz.R Package: RobustYourCast Version: 0.1-4 Date: 2009-07-28 Title: Robust Bayesian Forecasting with YourCast Author: Gary King Jon Bischof Samir Soneji Maintainer: Gary King Depends: R (>= 1.9.0), YourCast, sma, foreign, lattice Description: Generate Yourcasts under range of prior specifications, ranking predictions by cross validation or smoothness and RSS diagnostics. License: GPL version 2 or newer URL: http://gking.harvard.edu/yourcast