Zelig: Everyone's Statistical Software

By Kosuke Imai, Gary King, Olivia Lau. 2006

426 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/be199ef4793c0b67d4afc348ac54752f63626cdb

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Citations in the corpus

Modeling Ordered Choices: A Primer (2010, unknown): “For Bayesians, there are routines in R provided in ZELIG by Imai et al. (2008). WinBugs also contains a routine for discrete choice models.”
The VGAM Package for Categorical Data Analysis (2010, background): “Imai et al. (2008) present another perspective on the x ij problem with illustrations from Zelig (Imai et al. 2009).”
Modeling Ordered Choices: A Primer and Recent Developments (2008, unknown): “For Bayesians, there are routines in R provided in ZELIG by Imai et al. (2008). WinBugs also contains a routine for discrete choice models.”
Matching as Nonparametric Preprocessing for Reducing Model Dependence in Parametric Causal Inference (2007, methodology): “We do the same and label it T i , which takes a value of 1 if congressional district i ð i 5 1 ; . . . ; n Þ receives the treatment and 0 if i is untreated (the ‘‘control condition’’).”
Consumer File Sharing of Motion Pictures (2007, methodology): “ReLogit regression estimates the same model as a standard logistic regression but corrects for logit coefficient bias and therefore does not underestimate rare event probabilities (Imai, King, and Lau 2006).”
MatchIt: Nonparametric Preprocessing for Parametric Causal Inference (2011, methodology): “Zelig (Imai, King, and Lau 2011) is an R package that implements a large variety of statistical models (using numerous existing R packages) with a single easy-to-use interface, gives easily interpretable results by simulating quantities of interest, provides numerical and graphical summaries, and…”