Package: mefa
Type: Package
Title: Multivariate Data Handling in Ecology and Biogeography
Version: 3.2-2
Date: 2011-05-14
Author: Peter Solymos
Maintainer: Peter Solymos <solymos@ualberta.ca>
Description: A framework package aimed to provide standardized
computational environment for specialist work via object
classes to represent the data coded by samples, taxa and
segments (i.e. subpopulations, repeated measures). It supports
easy processing of the data along with cross tabulation and
relational data tables for samples and taxa. An object of class
`mefa' is a project specific compendium of the data and can be
easily used in further analyses. Methods are provided for
extraction, aggregation, conversion, plotting, summary and
reporting of `mefa' objects. Reports can be generated in plain
text or LaTeX format. Vignette contains worked examples.
Suggests: MASS, ade4, vegan, mefa4, Matrix
License: GPL-2
URL: http://mefa.r-forge.r-project.org/
LazyLoad: yes
LazyData: true
Packaged: 2011-08-22 21:59:42 UTC; localadmin
Repository: CRAN
Date/Publication: 2011-08-23 05:11:55

Packaged: 2021-10-07 01:56:03 UTC; PeterSolymos

Title: Multivariate Data Handling with S4 Classes and Sparse Matrices
Description: An S4 update of the 'mefa' package using sparse matrices
for enhanced efficiency. Sparse array-like obejects are
Packaged: 2011-02-10 07:07:29 UTC; localadmin

Packaged: 2011-05-14 14:36:19 UTC; localadmin

Packaged: 2011-07-09 06:24:00 UTC; localadmin

Packaged: 2011-08-22 22:00:54 UTC; localadmin

for enhanced efficiency.  Sparse array-like obejects are
Packaged: 2011-10-17 16:12:35 UTC; localadmin

Description: An S4 update of the 'mefa' package
using sparse matrices for enhanced efficiency.
Sparse array-like objects are supported via

Depends: R (>= 2.14.0), methods, Matrix, pbapply

Depends: R (>= 3.2.0), methods, Matrix, pbapply

Packaged: 2021-10-06 19:46:49 UTC; PeterSolymos

Depends: R (>= 3.2.0), methods, Matrix (>= 1.4-2)

Imports: ape, seqinr, methods, RPostgreSQL, XML
Description: Given a set of taxa and marker, the goal is build a complete and correct sequence alignment for phylogenetic analysis.