## Zelig: Everyone’s Statistical Software 1 (2012)

### BibTeX

@MISC{Imai12zelig:everyone’s,

author = {Kosuke Imai and Gary King and Olivia Lau},

title = {Zelig: Everyone’s Statistical Software 1},

year = {2012}

}

### OpenURL

### Abstract

The current version of this software is available at

### Citations

3905 | Classification and Regression Trees - Breiman, Friedman, et al. - 1984 |

1827 | Robust statistics - Huber - 1981 |

1320 | Generalized Additive Models - Hastie, Tibshirani - 1990 |

1271 | A HeteroskedasticityConsistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity - White - 1980 |

647 | Time Series: Theory and Methods - Brockwell, Davis - 1991 |

614 |
An improved heteroskedasticity and autocorrelation consistent covariance matrix estimator
- Andrews, Monahan
- 1992
(Show Context)
Citation Context ...evel [,,1] populated with matrix a (8's), # and the second level [,,2] populated 57[,1] [,2] [,3] # with matrix b (9's). [1,] 8 8 8 [2,] 8 8 8 # Use square brackets to extract values. For # example, =-=[1, 2, 2]-=- extracts the second , , 2 # value in the first row of the second level. # You may also use the <- operator to [,1] [,2] [,3] # replace values. [1,] 9 9 9 [2,] 9 9 9 If an array is a one-dimensional v... |

292 |
Applied Econometric Time Series
- Enders
- 1995
(Show Context)
Citation Context ... Concatenates character strings into a vector > a <- 1:5 # Creates a vector of integers from 1 to 5 inclusive > a <- rep(1, times = 5) # Creates a vector of 5 repeated `1's To manipulate a vector: > a=-=[10]-=- # Extracts the 10th value from the vector `a' > a[5] <- 3.14 # Inserts 3.14 as the 5th value in the vector `a' > a[5:7] <- c(2, 4, 7) # Replaces the 5th through 7th values with 2, 4, and 7 Unlike lar... |

209 | A generalization of sampling without replacement from a finite universe - Horvitz, Thompson - 1952 |

167 | Making the Most of Statistical Analyses: Improving Interpretation and Presentation
- King, Tomz, et al.
- 2000
(Show Context)
Citation Context ...e colors() to see the full list of available colors. 45• xlim and ylim set the limits to the x-axis and y-axis. For example, plot(x, y, xlim = c(0, 25), ylim = c(-15, 5)) sets range of the x-axis to =-=[0, 25]-=- and the range of the y-axis to [−15, 5]. For additional plotting options, refer to help(par). 5.2 Adding Points, Lines, and Legends to Existing Plots Once you have created a plot, you can add points,... |

145 | Analyzing Incomplete Political Science Data: An Alternative Algorithm for Multiple Imputation - King, Honaker, et al. - 2001 |

96 | Modeling survival data: extending the Cox model - M, Grambsch - 2000 |

69 | A Solution to the Ecological Inference Problem: Reconstructing Individual Behavior from Aggregate Data - King - 1997 |

68 | Pattern Recognition and Neural Networks (Cambridge - Ripley - 1996 |

60 | Generalised Additive Models: An introduction with R - Wood |

58 | Unifying Political Methodology: The Likelihood Theory of Statistical Inference. Ann Arbor - King - 1989 |

57 | Logistic regression in rare events data - King, Zeng - 2001 |

52 | Coercive Cooperation: Explaining Multilateral Economic Sanctions - Martin - 1992 |

41 | Weighted empirical adaptive variance estimators for correlated data regression - Lumley, Heagerty - 1999 |

38 | Enhancing the validity and cross-cultural comparability of measurement in survey research - King, Murray, et al. - 2003 |

37 | Event History Modelling. A Guide for Social Scientists - Box-Steffensmeier, Jones - 2004 |

32 | Stable and efficient multiple smoothing parameter estimation for generalized additive models - Wood |

29 | Do Get-Out-the-Vote Calls Reduce Turnout?: The Importance of Statistical Methods for Field Experiments - Imai - 2005 |

29 | A Statistical Model for Multiparty Electoral Data - Katz, King - 1999 |

28 | A Unified Model of Cabinet Dissolution in Parliamentary Democracies - King, Alt, et al. - 1990 |

25 | 2004a), “Full Matching in an Observational Study of Coaching for the SAT - Hansen |

23 |
lme4: Fit linear and generalized linear mixed-effects models
- Bates
- 2007
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Citation Context ...t.start(start.val, terms) res <- optim(start.val, ll.normal, method = "BFGS", hessian = TRUE, control = list(fnscale = -1), X = X, Y = Y, n = n, terms = terms, ...) # [2] } fit <- model.end(res, D) # =-=[3]-=- fit$n <- n class(fit) <- "normal" # [4] fit The following comments correspond to the bracketed numbers above: 1. The parse.formula() command looks for the describe.normal.regression() function, which... |

21 |
On the variance of asymptoticaly normal estimators from complex surveys
- Binder
- 1983
(Show Context)
Citation Context ...xtract a named element, use > names(output) [1] coefficients variance terms > output$coefficients For lists where the elements are not named, use double square brackets [[ ]] to extract elements: > L[=-=[4]-=-] # Extracts the 4th element from the list `L' > L[[4]] <- b # Replaces the 4th element of the list `L' with a matrix `b' Like vectors, lists are flexible data structures that can be extended without ... |

15 | Improving Forecasts of State Failure - King, Zeng - 2001 |

15 | Generalized Linear Models. Number 37 - McCullagh, Nelder - 1989 |

14 | Modeling and smoothing parameter estimation wiht multiple quadratic penalties - Wood - 2000 |

14 | Reduced-rank vector generalized linear models
- Yee, Hastie
- 2003
(Show Context)
Citation Context ... y-axes of the plot area, not coordinates defined in terms of the the plotting window or device. For example, if your plot has an x-axis with values between [0, 100], and a y-axis with values between =-=[50, 75]-=-, you may add a point at (55, 55). • points() plots one or more sets of points. Use pch with points to add points to an existing plot. For example, points(P, Q, pch = ".", col = "forest green") plots ... |

13 | The dangers of extreme counterfactuals - King, Zeng - 2006 |

12 | When can history be our guide? The pitfalls of counterfactual inference. http://gking.harvard.edu - King, Zeng - 2001 |

10 | MCMCpack: Markov chain Monte Carlo (MCMC) Package, 2006. R package version - Martin, Quinn |

10 | Econometric computing with hc and hac covariance matrix estimators - Zeileis - 2004 |

9 | 2006) “WhatIf: R Software for Evaluating Counterfactuals - Stoll, King, et al. |

8 | Modern Applied Statistics with S. Springer-Verlag, 4th edition - Venables, Ripley - 2002 |

7 | 2001): “Multivariate Methods for Interstructural Analysis,” CASOS working paper - Butts, Carley |

7 | Output Analysis and Diagnostics for MCMC - Plummer, Best, et al. - 2002 |

7 | Generalized Estimating Equation Models for Correlated Data: A Review With Applications. American Journal of Political Science, 45(2):470–490. BIBLIOGRAPHY vitae Personal details Name Christian Seiler Date of birth 11th May 1983 Place of birth Sindelfingen - Zorn - 2001 |

6 | Explaining rare events in international relations - King, Zeng - 2001 |

6 | Estimating risk and rate levels, ratios, and differences in case-control studies. Statist - King, Zeng - 2002 |

3 | Replication data set for: When can history be our guide? the pitfalls of counterfactual inference. 2006. hdl:1902.1/DXRXCFAWPK Murray Research Archive [distributor - King, Zeng |

2 | anchors: Software for Anchoring Vignette Data. R package version 3.0-6, URL http://CRAN.R-project.org/package=anchors - Wand, King, et al. - 2011 |

1 | A consensus on second stage analyses in ecological inference models
- Adolph, King, et al.
- 2003
(Show Context)
Citation Context ... objects. For example: # Run least squares regression and save the output in working memory: > z.out <- zelig(y ~ x1 + x2, model = "ls", data = mydata) # See what's in the R object: > names(z.out) 20=-=[1]-=- "coefficients" "residuals" "effects" "rank" # Extract and display the coefficients in z.out: > z.out$coefficients 6. All objects have a class designation which tells R how to treat it in subsequent c... |

1 | and Jasjeet Sekhon. Genetic matching for estimating causal effects: A new method of achieving balance in observational studies. http://jsekhon.fas.harvard.edu - Diamond - 2005 |

1 | systemfit: Simultaneous Equation Systems - Hamann, Henningsen - 2005 |

1 | market competition and individual preferences over immigration policy - Labor - 2001 |