Title: United States of America Map with the NAD 1983 Albers Projection
Description: A map of the USA from the United States Geological Survey (USGS).
Irucka worked with this data set while a Cherokee Nation Technology
Solutions (CNTS) USGS Contractor and/or USGS employee.

Title: Replaced by 'states2k' -- United States of America Map with the
Solutions (CNTS) USGS Contractor and/or USGS employee. It is replaced by

Title: U-Statistic Permutation Tests of Independence for all Data Types
Author: Thomas B. Berrett <tom.berrett@warwick.ac.uk> [aut,cre], Ioannis Kontoyiannis <yiannis@maths.cam.ac.uk> [aut], Richard J. Samworth <r.samworth@statslab.cam.ac.uk> [aut]
Description: Implements various independence tests for discrete, continuous, and infinite-dimensional data. The tests are based on a U-statistic permutation test, the USP of Berrett, Kontoyiannis and Samworth (2020) <arXiv:2001.05513>, and shown to be minimax rate optimal in a wide range of settings. As the permutation principle is used, all tests have exact, non-asymptotic Type I error control at the nominal level.

Packaged: 2021-01-27 09:06:28 UTC; tomberrett

Title: Unsupervised and Supervised methods of Propensity Score Adjustment for Bias
Description: Identify and display the distribution of Local Treatment Differences (LTDs)
and Local Average Treatment Effects (LATEs) in Outcome within Clusters of patients chosen
to be relatively well matched on baseline X-covariates.
License: GPL version 2 or later; sunsetstats@earthlink.net
Packaged: Mon Oct 31 21:34:48 2005; Prince BobO

Description: Identify and display the distribution of Local Treatment Differences (LTDs)and Local Average Treatment Effects (LATEs) on Outcomes within Clusters of patients chosen so as to be relatively well matched on baseline X-covariates.
Packaged: Mon Aug 20 18:05:06 2007; BobO

Package: USPS
Title: Unsupervised and Supervised methods of Propensity Score Adjustment for Bias
Version: 1.2-0
Date: 2009-02-10
Author: Bob Obenchain <wizbob@att.net>
Maintainer: Bob Obenchain <wizbob@att.net>
Depends: R (>= 1.8.0), cluster, lattice, gss
Description: Unsupervised methods: identify and display the distribution of Local Treatment
Differences (LTDs) and Local Average Treatment Effects (LATEs) across Clusters of patients
chosen so as to be relatively well matched on patient baseline X-covariates.  Supervised
methods: estimate and validate Propensity Scores and use them to either sub-group or smooth
observed patient outcomes over the common support of alternative treatment cohorts.
License: GPL (>= 2)
URL: http://www.r-project.org, http://members.iquest.net/~softrx/
Packaged: Sat Feb 14 14:10:32 2009; BobO