person("Matthew", "Leonawicz", email = "matt_leonawicz@esource.com", role = c("aut", "cre"))
testthat, knitr, rmarkdown, covr, magick, gifski, lintr

person("Matthew", "Leonawicz", email = "mfleonawicz@gmail.com", role = c("aut", "cre"))
testthat, knitr, rmarkdown, covr, magick, gifski

Spatial pattern detection in genetic distance data using Moran's
Eigenvector Maps
Memgene can detect relatively small reductions in the amount of gene flow across space by using Moran's Eigenvector Maps (MEM) to extract only the spatial component of genetic variation.  Memgene has applications in landscape genetics where the movement and dispersal of organisms are studied using neutral genetic variation.

Spatial Pattern Detection in Genetic Distance Data Using Moran's
Eigenvector Maps
Can detect relatively weak spatial genetic patterns by using Moran's Eigenvector Maps (MEM) to extract only the spatial component of genetic variation.  Has applications in landscape genetics where the movement and dispersal of organisms are studied using neutral genetic variation.

Memgene can detect relatively weak spatial genetic patterns by using Moran's Eigenvector Maps (MEM) to extract only the spatial component of genetic variation.  Memgene has applications in landscape genetics where the movement and dispersal of organisms are studied using neutral genetic variation.

A simple way to construct and maintain functions that keep state i.e. remember their argument lists. This can be useful when one needs to repeatedly invoke the same function with only a small number of argument changes at each invocation.

Convenience Tools for Data Management,
Simulation, and Presentation of Estimates
A couple of tools
for preparing (especially social science) survey data,
conducting simulation studies, and presentation
of results of statistical analyses.

Miscellaneous Tools for Data Management,
Simulation, and Presentation of Estimates.

Tools for Data Management,
Simulation, and Presentation of Estimates.

Tools for Management of Survey Data, Graphics, Programming, Statistics, and Simulation
One of the aims of this package is to make life easier for useRs
who deal with survey data sets. It provides an infrastructure for the management of
survey data including value labels, definable missing values, recoding of variables,
production of code books, and import of (subsets of) SPSS and Stata files.
Further, it provides functionality to produce tables and data frames of
arbitrary descriptive statistics and (almost) publication-ready tables
of regression model estimates. Also some convenience tools for
graphics, programming, and simulation are provided.
lattice, grid, stats, methods, utils, MASS