eco: Ecological Inference in 2x2 Tables

We implement the Bayesian and likelihood methods proposed in Imai, Lu, and Strauss (2008, 2011) for ecological inference in 2 by 2 tables as well as the method of bounds introduced by Duncan and Davis (1953). The package fits both parametric and nonparametric models using either the Expectation-Maximization algorithms (for likelihood models) or the Markov chain Monte Carlo algorithms (for Bayesian models). For all models, the individual-level data can be directly incorporated into the estimation whenever such data are available. Along with in-sample and out-of-sample predictions, the package also provides a functionality which allows one to quantify the effect of data aggregation on parameter estimation and hypothesis testing under the parametric likelihood models.

AuthorKosuke Imai <kimai@princeton.edu>, Ying Lu <yl46@nyu.edu>, Aaron B Strauss <aaronbstrauss@gmail.com>.
Date of publication2015-03-19 09:46:08
MaintainerYing Lu <yl46@nyu.edu>
LicenseGPL (>= 2)
Version3.1-7
http://imai.princeton.edu/software/eco.html

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Files in this package

eco
eco/inst
eco/inst/CITATION
eco/src
eco/src/Makevars
eco/src/rand.h
eco/src/fintegrate.h
eco/src/gibbsDP.c
eco/src/sample.h
eco/src/rand.c
eco/src/subroutines.c
eco/src/gibbsEM.c
eco/src/vector.c
eco/src/gibbsBase.c
eco/src/bayes.h
eco/src/vector.h
eco/src/subroutines.h
eco/src/gibbsXBase.c
eco/src/gibbsZBase.c
eco/src/macros.h
eco/src/preDP.c
eco/src/fintegrate.c
eco/src/gibbsBase2C.c
eco/src/sample.c
eco/src/bayes.c
eco/src/preBaseX.c
eco/src/gibbsXDP.c
eco/src/preDPX.c
eco/src/gibbsBaseRC.c
eco/NAMESPACE
eco/data
eco/data/reg.txt.gz
eco/data/housep88.txt.gz
eco/data/wallace.txt.gz
eco/data/forgnlit30c.txt.gz
eco/data/forgnlit30.txt.gz
eco/data/census.txt.gz
eco/R
eco/R/ecoRC.R eco/R/ecoNP.R eco/R/logit.R eco/R/onAttach.R eco/R/summary.ecoNP.R eco/R/predict.ecoX.R eco/R/ecoCV.R eco/R/predict.eco.R eco/R/eco.R eco/R/coef.ecoNP.R eco/R/print.ecoML.R eco/R/print.summary.eco.R eco/R/predict.ecoNPX.R eco/R/coef.eco.R eco/R/predict.ecoNP.R eco/R/emeco.R eco/R/checkdata.R eco/R/Qfun.R eco/R/summary.ecoML.R eco/R/varcov.R eco/R/print.summary.ecoNP.R eco/R/print.ecoBD.R eco/R/print.summary.predict.eco.R eco/R/summary.eco.R eco/R/print.summary.ecoML.R eco/R/print.eco.R eco/R/eminfo.R eco/R/summary.predict.eco.R eco/R/ecoBD.R
eco/MD5
eco/DESCRIPTION
eco/ChangeLog
eco/man
eco/man/Qfun.Rd eco/man/housep88.Rd eco/man/predict.ecoNP.Rd eco/man/ecoBD.Rd eco/man/predict.eco.Rd eco/man/summary.ecoNP.Rd eco/man/ecoML.Rd eco/man/forgnlit30c.Rd eco/man/reg.Rd eco/man/eco.Rd eco/man/census.Rd eco/man/forgnlit30.Rd eco/man/summary.eco.Rd eco/man/summary.ecoML.Rd eco/man/wallace.Rd eco/man/ecoNP.Rd

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

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