spelling, testthat, rgl, R.matlab, interp

Network Visualization in the 'ggplot2' Framework
Network visualization in the 'ggplot2' framework. Network
functionality is provided in a single 'ggplot2' layer by calling the geom 'net'.
Layouts are calculated using the 'sna' package, example networks are included.

sna, network, dplyr, tidyr, readr, plotly

c(
person("Sam", "Tyner", email = "sctyner90@gmail.com", role = c("aut", "cre")),
person("Heike", "Hofmann", email = "hofmann@iastate.edu", role = c("aut", "ctb")),
person("Nicholas", "Tierney", email = "nicholas.tierney@gmail.com",  role = "ctb")
)
ggrepel, knitr, igraph, ggmap, spelling, rmarkdown
Sam Tyner [aut, cre],
Heike Hofmann [aut, ctb],
Nicholas Tierney [ctb]

Geometric morphometric analysis of 2d/3d landmark data
Dean Adams <dcadams@iastate.edu>, Erik Otarola-Castillo
<eotarolacastillo@fas.harvard.edu>
Read, manipulate, and digitize landmark data, generate
shape variables via Procrustes analysis for points, curves and
surfaces, perform shape analyses, and provide graphical
depictions of shapes and patterns of shape variation

Read, manipulate, and digitize landmark data, generate shape
variables via Procrustes analysis for points, curves and surfaces, perform
shape analyses, and provide graphical depictions of shapes and patterns of
shape variation

Geometric morphometric analyses of 2d/3d landmark data
Dean Adams <dcadams@iastate.edu>, Erik Otarola-Castillo
<eotarolacastillo@fas.harvard.edu>, Emma Sherratt <sherratt@iastate.edu>

Dean Adams, Erik Otarola-Castillo, Emma Sherratt

Dean Adams, Michael Collyer, Erik Otarola-Castillo, Emma Sherratt

geometric morphometric analyses of 2d/3d landmark data

Geometric Morphometric Analyses of 2d/3D Landmark Data
Geomorph allows users to read, manipulate, and digitize landmark data, generate shape
variables via Procrustes analysis for points, curves and surfaces, perform
shape analyses, and provide graphical depictions of shapes and patterns of
shape variation.

Dean Adams, Michael Collyer, Emma Sherratt
Read, manipulate, and digitize landmark data, generate shape
variables via Procrustes analysis for points, curves and surfaces, perform
shape analyses, and provide graphical depictions of shapes and patterns of
shape variation.