| Zelig-package {Zelig} | R Documentation |
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.
| Package: | Zelig |
| Version: | 2.8-5 |
| Date: | 2007-06-12 |
| Depends: | R (>= 2.4.0), MASS, boot |
| Suggests: | VGAM (>= 0.7-1), MCMCpack (>= 0.7-4), mvtnorm, survival, sandwich (>= 2.0-0), zoo (>= 1.2-1), coda, nnet, sna, gee, systemfit, mgcv |
| License: | GPL version 2 or newer |
| URL: | http://gking.harvard.edu/zelig |
Index:
approval U.S. Presidential Approval Data
coalition Coalition Dissolution in Parliamentary
Democracies
current.packages Find all packages in a dependency chain
dims Return Dimensions of Vectors, Arrays, and Data
Frames
eidat Simulation Data for Ecological Inference
friendship Simulated Example of Schoolchildren Friendship
Network
gsource Read Data As a Space-Delimited Table
help.zelig HTML Help for Zelig Commands and Models
hoff Social Security Expenditure Data
immigration Individual Preferences Over Immigration Policy
macro Macroeconomic Data
match.data Output matched data sets
MatchIt.url Table of links for Zelig
mexico Voting Data from the 1988 Mexican Presidental
Election
mi Bundle multiply imputed data sets as a list
mid Militarized Interstate Disputes
model.end Cleaning up after optimization
model.frame.multiple Extracting the "environment" of a model formula
model.matrix.multiple Design matrix for multivariate models
network Format matricies into a data frame for social
network analysis
newpainters The Discretized Painter's Data of de Piles
parse.formula Parsing user-input formulas into multiple
syntax
parse.par Select and reshape parameter vectors
PErisk Political Economic Risk Data from 62 Countries
in 1987
plot.ci Plotting Vertical confidence Intervals
plot.zelig Graphing Quantities of Interest
put.start Set specific starting values for certain
parameters
repl Replicating Analyses
rocplot Receiver Operator Characteristic Plots
sanction Multilateral Economic Sanctions
set.start Set starting values for all parameters
setx Setting Explanatory Variable Values
sim Simulating Quantities of Interest
sna.ex Simulated Example of Social Network Data
summary.zelig Summary of Simulated Quantities of Interest
SupremeCourt U.S. Supreme Court Vote Matrix
swiss Swiss Fertility and Socioeconomic Indicators
(1888) Data
ternaryplot Ternary diagram
ternarypoints Adding Points to Ternary Diagrams
tobin Tobin's Tobit Data
turnout Turnout Data Set from the National Election
Survey
user.prompt Pause in demo files
Weimar 1932 Weimar election data
zelig Estimating a Statistical Model
zeligDepStatus Zelig Dependencies Packages Client Status
zeligDepUpdate Download Zelig Dependencies Packages
zeligDescribeModelXML Zelig interface functions
Zelig-package Everyone's Statistical Software
Zelig.url Table of links for Zelig
zideal Zelig Matrix of Dependencies
Further information is available in the following vignettes:
arima | ARIMA Models for Time Series Data (source) |
blogit | Bivariate Logistic Regression for Two Dichotomous Dependent Variables (source) |
bprobit | Bivariate Probit Regression for Dichotomous Dependent Variables (source) |
ei.RxC | Hierarchical Multinomial-Dirichlet Ecological Inference Model (source) |
ei.dynamic | Quinn's Dynamic Ecological Inference (source) |
ei.hier | Hierarchical Ecological Inference Model (source) |
exp | Exponential Regression for Duration Dependent Variables (source) |
factor.bayes | Bayesian Factor Analysis (source) |
factor.mix | Mixed Data Factor Analysis (source) |
factor.ord | Ordinal Data Factor Analysis (source) |
gam.logit | gam.logit: Generalized Additive Model for Dichotomous Dependent Variables (source) |
gam.normal | Generalized Additive Model for Continuous Dependent Variables (source) |
gam.poisson | Generalized Additive Model for Count Dependent Variables (source) |
gam.probit | Generalized Additive Model for Dichotomous Dependent Variables (source) |
gamma | Gamma Regression for Continuous, Positive Dependent Variables (source) |
irt1d | One Dimensional Item Response Mode (source) |
irtkd | K-Dimensional Item Response Model (source) |
logit | Logistic Regression for Dichotomous Dependent Variables (source) |
logit.bayes | Bayesian Logistic Regression for Dichotomous Dependent Variables (source) |
logit.gee | Generalized Estimating Equation for Logistic Regression (source) |
lognorm | Log-Normal Regression for Duration Dependent Variables (source) |
ls | Least Squares Regression for Continuous Dependent Variables (source) |
mlogit | Multinomial Logistic Regression for Dependent Variables with Unordered Categorical Values (source) |
mlogit.bayes | Bayesian Multinomial Logistic Regression for Dependent Variables with Unordered Categorical Values (source) |
mloglm | Multinomial Log-Linear Regression for Contingency Table Models (source) |
negbin | Negative Binomial Regression for Event Count Dependent Variables (source) |
netcloglog | Least Squares Regression for Continuous Dependent Variables (source) |
netgamma | Least Squares Regression for Continuous Dependent Variables (source) |
netlogit | Least Squares Regression for Continuous Dependent Variables (source) |
netls | Network Least Squares Regression for Continuous Proximity Matrix Dependent Variables (source) |
netnormal | Least Squares Regression for Continuous Dependent Variables (source) |
netpoisson | Least Squares Regression for Continuous Dependent Variables (source) |
netprobit | Least Squares Regression for Continuous Dependent Variables (source) |
normal | Normal Regression for Continuous Dependent Variables (source) |
normal.bayes | Bayesian Normal Linear Regression (source) |
ologit | Ordinal Logistic Regression for Ordered Categorical Dependent Variables (source) |
oprobit | Ordinal Probit Regression for Ordered Categorical Dependent Variables (source) |
oprobit.bayes | Bayesian Ordered Probit Regression (source) |
poisson | Poisson Regression for Event Count Dependent Variables (source) |
poisson.bayes | Bayesian Poisson Regression (source) |
probit | Probit Regression for Dichotomous Dependent Variables (source) |
probit.bayes | Bayesian Probit Regression for Dichotomous Dependent Variable (source) |
relogit | Rare Events Logistic Regression for Dichotomous Dependent Variables (source) |
sur | Seemingly Unrelated Regression (source) |
threesls | Three Stage Least Squares (source) |
tobit | Linear regression for Left-Censored Dependet Variable (source) |
tobit.bayes | Bayesian Linear Regression for a Censored Dependent Variable (source) |
twosls | Two Stage Least Squares (source) |
weibull | Weibull Regression for Duration Dependent Variables (source) |
Kosuke Imai <kimai@Princeton.Edu>, Gary King <king@harvard.edu>, Olivia Lau <olau@fas.harvard.edu>
Maintainer: Kosuke Imai <kimai@Princeton.Edu>