Title: Optimal Allocation in Stratified Sampling
Author: Jose Brito, Pedro Silva, Nelson Maculan and Gustavo Semaan
Description: Integer Programming Formulations Applied to Univariate and Multivariate Allocation Problems.

Title: Multivariate Analysis Using Biplots in R
Maintainer: Jose Luis Vicente-Villardon <villardon@usal.es>
Description: Several multivariate techniques from a biplot perspective. It is the translation (with many improvements) into R of the previous package developed in 'Matlab'. The package contains some of the main developments of my team during the last 30 years together with some more standard techniques. Package includes: Classical Biplots, HJ-Biplot, Canonical Biplots, MANOVA Biplots, Correspondence Analysis, Canonical Correspondence Analysis, Canonical STATIS-ACT, Logistic Biplots for binary and ordinal data, Multidimensional Unfolding, External Biplots for Principal Coordinates Analysis or Multidimensional Scaling, among many others. References can be found in the help of each procedure.
Imports: MASS, scales, geometry, deldir, mirt, GPArotation, optimr,
Hmisc, car, dunn.test, gplots, lattice, polycor, dae, rgl,
Packaged: 2021-04-03 15:31:13 UTC; villardon

Package: MultEq
Type: Package
Title: Equivalence tests and simultaneous confidence intervals for multiple endpoints
Version: 1.0
Date: 2008-01-08
Author: Mario Hasler <hasler@biostat.uni-hannover.de>
Maintainer: Mario Hasler <hasler@biostat.uni-hannover.de>
Depends: R (>= 2.2.0), mvtnorm
Description: The package provides tests and confidence intervals for
comparing two treatments when there is more than one primary response
variable (endpoint) given. The step-up procedure of Quan et al. (2001)
is both applied for differences and extended to ratios of means of
normally distributed data with equal group variances. A related
single-step procedure is also available.
License: GPL
Packaged: Mon Jan 14 15:46:44 2008; Mario

normally distributed data. A related single-step procedure is also
Packaged: Thu Jan 31 17:35:47 2008; Mario