Packaged: 2013-10-16 13:21:16 UTC; jhainmueller

Description: Package implements entropy balancing, a data preprocessing procedure that allows users to reweight a dataset such that the covariate distributions in the reweighted data satisfy a set of user specified moment conditions. This can be useful to create balanced samples in observational studies with a binary treatment where the control group data can be reweighted to match the covariate moments in the treatment group. Entropy balancing can also be used to reweight a survey sample to known characteristics from a target population.
Packaged: 2014-01-26 02:31:39 UTC; jhainmueller

Title: Entropy Reweighting to Create Balanced Samples
Description: Package implements entropy balancing, a data preprocessing procedure described in Hainmueller (2008, <doi:10.1093/pan/mpr025>) that allows users to reweight a dataset such that the covariate distributions in the reweighted data satisfy a set of user specified moment conditions. This can be useful to create balanced samples in observational studies with a binary treatment where the control group data can be reweighted to match the covariate moments in the treatment group. Entropy balancing can also be used to reweight a survey sample to known characteristics from a target population.
Packaged: 2022-06-09 00:06:48 UTC; jhainmueller

Title: Robust Empirical Bayes Confidence Intervals
Description: Computes empirical Bayes confidence estimators and confidence
intervals in a normal means model. The intervals are robust in the sense
that they achieve correct coverage regardless of the distribution of the
means. If the means are treated as fixed, the intervals have an average
coverage guarantee. The implementation is based on Armstrong, Kolesár and
Suggests: spelling, testthat (>= 2.1.0), lpSolve, knitr, rmarkdown

Title: Empirical Bayes Estimation of Dynamic Bayesian Networks
Description: This package is used to infer the adjacency matrix of a
network from time course data using an empirical Bayes
estimation procedure based on Dynamic Bayesian Networks.
Packaged: Tue Nov 10 16:40:59 2009; arau