Maintainer: Dirk Eddelbuettel and Romain Francois
Several examples are provided below the examples/ directory of the

provided you use the same tools used to build R itself.  (NB:
Windows versions curretly seg.fault and debugging help would be
appreciated. An older version worked fine, but there may have
been some Rcpp changes which caused this.)
Numerous examples are provided in the three subdirectories the
(for parallel computing) and qt (showing how to embed RInside

the same tools used to build R itself.  (NB: Windows versions curretly
seg.fault and debugging help would be appreciated. An older version worked
fine, but there may have been some Rcpp changes which caused this.)
Numerous examples are provided in the three subdirectories the examples/
and qt (showing how to embed RInside inside a Qt application).

inside a Qt application), and wt (showing how to build a
'web-application' using the Wt toolkit).

inside a Qt application), wt (showing how to build a

Author: Jake Bowers <jwbowers@illinois.edu>, Mark Fredrickson
Description: Tools for randomization inference.
Imports: graphics, stats, lattice, grid, SparseM, xtable

<mark.m.fredrickson@gmail.com>, and Ben Hansen <ben.hansen@umich.edu>
Imports: graphics, stats, lattice, grid, SparseM, xtable, svd, abind
Collate: 'flatten.xbalresult.R' 'harmonic.R' 'naImpute.R' 'plot.xbal.R'

Depends: R (>= 2.2.0), stats, methods, graphics, utils
Imports: grDevices, SparseM, abind, xtable, svd

Imports: grDevices, abind, xtable, svd, stats, graphics, methods,
Suggests: testthat, roxygen2, MASS, RSVGTipsDevice

X-CRAN-Comment: Orphaned and updated for R 3.6.0 on 2019-05-26 as

Description: Tools for randomization-based inference. Current focus is on the d^2 omnibus test of differences of means following Hansen and Bowers (2008) useful for assessing balance in matched observational studies or for analysis of outcomes in block-randomized experiments.

Authors@R: c(person("Jake", "Bowers", role = c("aut", "cre"), email = "jwbowers@illinois.edu"),
person("Mark", "Fredrickson", role = "aut", email = "mark.m.fredrickson@gmail.com"),
person("Ben", "Hansen", role = "aut", email = "ben.hansen@umich.edu"),
person("Josh", "Errickson", role = "ctb", email = "jerrick@umich.edu"))
Description: Tools for randomization-based inference. Current focus is on the d^2 omnibus test of differences of means following Hansen and Bowers (2008)  <doi:10.1214/08-STS254> . This test is useful for assessing balance in matched observational studies or for analysis of outcomes in block-randomized experiments.