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

View on CRAN

Functions

census Man page
eco Man page
ecoBD Man page
ecoML Man page
ecoNP Man page
forgnlit30 Man page
forgnlit30c Man page
housep88 Man page
predict.eco Man page
predict.ecoNP Man page
predict.ecoNPX Man page
predict.ecoX Man page
print.eco Man page
print.summary.eco Man page
print.summary.ecoML Man page
print.summary.ecoNP Man page
Qfun Man page
reg Man page
summary.eco Man page
summary.ecoML Man page
summary.ecoNP Man page
wallace Man page

Files

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.

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.