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Zelig is an easy-to-use, free, open source, general purpose statistics program for estimating, interpreting, and presenting results from any statistical method. Zelig turns the power of R, with thousands of open source packages — but with free ranging syntax, diverse examples, and documentation written for different audiences — into the same three commands and consistent documentation for every method
Statistical Software Free
• Specific methods, based on likelihood, frequentist, Bayesian, robust Bayesian • Nonparametric, and population • Superpopulation theories of inference. • Uncertainty estimates (generalizing Clarify for Stata); automates graphics and numerical summaries for all models; • Evaluates counterfactuals (incorporating WhatIf) • Combines multiply imputed data sets to impute missing data and correct for measurement error (via Amelia) • Automates bootstrapping for all models
Small (<50 employees), Medium (50 to 1000 Enterprise (>1001 employees)
• Specific methods, based on likelihood, frequentist, Bayesian, robust Bayesian • Nonparametric, and population • Superpopulation theories of inference. • Uncertainty estimates (generalizing Clarify for Stata); automates graphics and numerical summaries for all models; • Evaluates counterfactuals (incorporating WhatIf)
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Zelig is a unique, open source general purpose statistics program that has the ability to run the power R for interpretation, estimation and presentation of results from any statistical method.
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Zelig is a free, easy to use, open source general purpose statistics program for interpreting, estimating and presenting results from any statistical method.
Zelig is a unique general purpose statistics program due to its ability to turn the power R but with free diverse examples, ranging syntax and documentation written for the different audiences by the same consistent documentation and three commands for every method. Zelig is also unique from other programs as it improves the use of the existing methods by adding considerable infrastructure.
Zelig provides users with a good platform for translation of the hard to get intercepts coefficients and converts them into meaningful quantities of interest. The quantities come along with uncertainties estimates, automate numerical summaries and graphics for all the models and evaluate counterfactuals. Zelig has several features that enables users to users the software more easily when performing statistics analysis.
The features include the WhatIf, Amelia, MatchIt and cem and Dataverse. The WhatIf feature enables users to combine and multiply the imputed data sets. This is essential in statistics programming because the imputed data sets are corrected for the measurement error.
The Amelia feature provided by Zelig is a good feature as it enables users to automate bootstrapping for all models and also allowing users to matching the casual inference so as to reduce the model dependence. The MatchIt and cem feature provide users with a good platform for generation of replication of data files.
The Dataverse feature provided by Zelig is essential as it first satisfy the replication standards of the community. The R package available in Zelig enables developers to make their own R package by only writing a few simple bridge functions.
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