Author: Nathaniel Graham and Mahmood Arai and Bj<c3><b6>rn Hagstr<c3><b6>mer
Description: This package exports two functions cluster.vcov, which implements
Miller (2011) and cluster.boot, which implements cluster (or block)
bootstrapping for estimating variance-covariance matrices. Normal one and
two-way clustering matches the results of other common statistical
packages.  Missing values are handled transparently and rudimentary

Title: Multi-way Standard Error Clustering
Author: Nathaniel Graham and Mahmood Arai and Björn Hagströmer
Imports: sandwich, boot, compiler, parallel
Description: Exports two functions implementing

Imports: sandwich, boot, compiler, parallel, stats, utils

Title: Multi-Way Standard Error Clustering

Author: Christian B. Pipper <pipper@life.ku.dk>, Christian Ritz
Maintainer: Christian B. Pipper <pipper@life.ku.dk>
Description: Testing of multiple outcomes using i.i.d. decompositions
Depends: R (>= 2.6.0), gtools, mvtnorm, sandwich, MASS
Packaged: Wed Jun 24 08:55:42 2009; Christian Pipper

Packaged: Mon Jun 29 08:21:42 2009; Christian Pipper

Packaged: Mon Aug 31 14:05:45 2009; Christian Pipper

Packaged: Tue Oct 20 09:07:48 2009; Christian Pipper

Packaged: 2011-03-17 14:42:21 UTC; Christian Pipper

<ritz@life.ku.dk>, Signe M. Jensen <smj@life.ku.dk>
Depends: R (>= 2.6.0), gtools, mvtnorm, sandwich, MASS, Rcpp
Packaged: 2011-10-06 08:38:28 UTC; christianpipper

Packaged: 2011-10-07 06:57:41 UTC; christianpipper

Author: Christian B. Pipper <pipper@sund.ku.dk>, Christian Ritz
Maintainer: Christian B. Pipper <pipper@sund.ku.dk>

Package: multtest
Title: Resampling-based multiple hypothesis testing
Version: 1.16.0
Author: Katherine S. Pollard, Yongchao Ge, Sandra Taylor, Sandrine Dudoit
Description: Non-parametric bootstrap and permutation resampling-based
multiple testing procedures for controlling the family-wise
error rate (FWER), generalized family-wise error rate (gFWER),
tail probability of the proportion of false positives (TPPFP),
and false discovery rate (FDR). Single-step and step-wise
methods are implemented. Tests based on a variety of t- and
F-statistics (including t-statistics based on regression
parameters from linear and survival models) are included.
Results are reported in terms of adjusted p-values,
confindence regions and test statistic cutoffs. The procedures
are directly applicable to identifying differentially
expressed genes in DNA microarray experiments.
Maintainer: Katherine S. Pollard <kpollard@wald.ucdavis.edu>
Depends: R (>= 2.1.0), methods, Biobase, survival
Suggests: snow, Rmpi, rpvm
License: LGPL
biocViews: Microarray, DifferentialExpression, MultipleComparisons
LazyLoad:yes
Packaged: Mon Jul  2 17:33:38 2007; kpollard