Title: Various confidence interval methods for proportions
differences of dependent and independent proportions

Description: Computes two-sample confidence intervals for single, paired and independent proportions

Title: Various Confidence Interval Methods for Proportions
Description: Computes two-sample confidence intervals for single, paired and independent proportions.

Title: Propensity Clustering and Decomposition
Author: John Michael O Ranola, Kenneth Lange, Steve Horvath, Peter Langfelder
Depends: R (>= 2.10), flashClust, dynamicTreeCut
Description: This package implements propensity clustering and
decomposition. Propensity decomposition can be viewed on the
one hand as a generalization of the eigenvector-based
approximation of correlation networks, and on the other hand as
a generalization of random multigraph models and
Packaged: 2013-12-18 17:40:30 UTC; plangfelder

Depends: R (>= 3.0.0), flashClust, dynamicTreeCut
Description: Implementation of propensity clustering and
Packaged: 2018-01-21 00:56:46 UTC; plangfelder

Depends: R (>= 3.0.0), fastcluster, dynamicTreeCut
decomposition as described in Ranola et al. (2013) <doi:10.1186/1752-0509-7-21>.
Propensity decomposition can be viewed on the
Packaged: 2018-09-12 15:49:22 UTC; plangfelder

Author: John Michael O Ranola, Kenneth Lange, Steve Horvath, Peter
Packaged: 2013-02-19 08:31:10 UTC; plangfelder

Title: Propensity score methods for assigning treatment in randomized
Maintainer: Travis M. Loux <loux@pstat.ucsb.edu>
Description: This package contains functions to run propensity-biased
allocation to balance covariate distributions in sequential
trials.  Currently this package only supports trials comparing

Title: Propensity Score Methods for Assigning Treatment in Randomized
Description: Contains functions to run propensity-biased allocation to balance covariate distributions in sequential trials and propensity-constrained randomization to balance covariate distributions in trials with known baseline covariates at time of randomization.  Currently only supports trials comparing two groups.