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.

Multivariate Data Handling with S4 Classes and Sparse Matrices
An S4 update of the 'mefa' package using sparse matrices
for enhanced efficiency. Sparse array-like obejects are
supported via lists of sparse matrices.

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

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

Given a set of taxa and marker, the goal is build a complete and correct sequence alignment for phylogenetic analysis.

Interactive model exploration using GGobi
Exploratory model analysis.  Fit and graphical explore ensembles of linear models.

Exploratory model analysis.  Fit and graphical explore
ensembles of linear models.
'ensemble.r' 'generate.r' 'ggobi.r' 'meifly.r' 'summarise.r'

Interactive Model Exploration using 'GGobi'
Exploratory model analysis with <http://ggobi.org>.
Fit and graphical explore ensembles of linear models.

Exploratory model analysis.  Fit and graphical
explore ensembles of linear models.

c(
person("Eric", "Rynerson", email = "eric.rynerson@gmail.com", role = c("cre", "aut")),
person("Julius", "Vainora", role = "ctb"))
Create variable width bar charts i.e.
"bar mekko" charts to include important quantitative context.
Closely related to mosaic, spine (or spinogram), matrix,
submarine, olympic, Mondrian or product plots and tree maps.
Eric Rynerson [cre, aut],
Julius Vainora [ctb]