Description: rPlant is an R interface to the the many computational
resources iPlant offers through their RESTful application
programming interface. Currently, rPlant functions interact
with the iPlant foundational API, the Taxonomic Name Resolution
Service API, and the Phylotastic Taxosaurus API. Before using
rPlant, users will have to register with the iPlant

Depends: R (>= 2.13.0), rjson, RCurl, seqinr, knitcitations

Author: Robin Nunkesser <Robin.Nunkesser@tu-dortmund.de>, Silke Straatmann, Simone Wenzel
Description: An R interface to a modified version of PORTA.
Packaged: Mon May 19 17:25:00 2008; nunkesser

Description: An R interface to a modified version of PORTA. For more information on PORTA see http://www.zib.de/Optimization/Software/Porta/.
Packaged: Thu Aug  7 11:13:21 2008; nunkesser

Packaged: Tue Jan 27 15:43:49 2009; hornik

Packaged: Tue Feb  3 21:12:34 2009; hornik

Author: Robin Nunkesser <Robin.Nunkesser@tu-dortmund.de>, Silke
Description: An R interface to a modified version of PORTA. For more
Packaged: Mon Mar 30 20:20:49 2009; hornik

Title: Sample Size Computations Controlling the Type-II Generalized
Author: Pierre Lafaye de Micheaux, Benoit Liquet and Jeremie Riou
Description: The significance of mean difference tests in clinical trials is established if at least r null hypotheses are rejected among m that are simultaneously tested. This package enables one to compute necessary sample sizes for single-step (Bonferroni) and step-wise procedures (Holm and Hochberg). These three procedures control the q-generalized family-wise error rate (probability of making at least q false rejections). Sample size is computed (for these single-step and step-wise procedures) in a such a way that the r-power (probability of rejecting at least r false null hypotheses, i.e. at least r significant endpoints among m) is above some given threshold, in the context of tests of difference of means for two groups of continuous endpoints (variables). Various types of structure of correlation are considered. It is also possible to analyse data (i.e., actually test difference in means) when these are available. The case r equals 1 is treated in separate functions that were used in Lafaye de Micheaux et al. (2014) <doi:10.1080/10543406.2013.860156>.
Depends: R (>= 2.10.0), mvtnorm, stats, ssanv, parallel