Title: Bayesian Calculation of Region-Specific Fixation Index to Detect
Description: An R implementation of an extension of the 'BayeScan' software (Foll, 2008) <DOI:10.1534/genetics.108.092221> for codominant markers, adding the option to group individual SNPs into pre-defined blocks. A typical application of this new approach is the identification of genomic regions, genes, or gene sets containing one or more SNPs that evolved under directional selection.

Title: Creates strings that show a text message in 8 by 8 block letters
Description: Creates strings that show a text message in 8 by 8 block
Packaged: 2013-03-14 11:57:47 UTC; elliotnoma

Title: GUI for the Generalised Blockmodeling of Valued Networks
c(person("Fabio Ashtar", "Telarico", , "telaricof@fdv.uni-lj.si", role = c("aut", "cre"),
person("Ale\u0161", "\u017Diberna", , , role = "aut"))
Description: This app provides some useful tools for Offering an accessible GUI for generalised blockmodeling of single-relation, one-mode networks. The user can execute blockmodeling without having to write a line code by using the app's visual helps. Moreover, there are several ways to visualisations networks and their partitions. Finally, the results can be exported as if they were produced by writing code.
Author: Fabio Ashtar Telarico [aut, cre]
Maintainer: Fabio Ashtar Telarico <telaricof@fdv.uni-lj.si>

Title: Statistical Comparisons with Distance-Function Based Permutation
Author: Marian Talbert, Jon Richards, Paul Mielke, and Brian Cade
Description: Provides tools for making statistical comparisons with distance-function based permutation tests developed by P. W. Mielke, Jr. and colleagues at Colorado State University (Mielke and Berry 2001) and for testing parameters estimated in linear models with permutation procedures developed by B. S. Cade and colleagues at the Fort Collins Science Center, U. S. Geological Survey (known as the Midcontinent Ecological Science Center prior to 2002).

Description: Provides tools for making statistical comparisons with distance-function based permutation tests developed by P. W. Mielke, Jr. and colleagues at Colorado State University (Mielke, P. W. & Berry, K. J. Permutation Methods: A Distance Function Approach (Springer, New York, 2001)) and for testing parameters estimated in linear models with permutation procedures developed by B. S. Cade and colleagues at the Fort Collins Science Center, U. S. Geological Survey.