Defines the classes used to explore, cluster and
visualize distance matrices, especially those arising from binary
data. See Abrams et al., 2021, <doi:10.1093/bioinformatics/btab037>.

Defines the classes used to explore, cluster and
visualize distance matrices, especially those arising from binary
data. See Abrams and colleagues, 2021, <doi:10.1093/bioinformatics/btab037>.
methods, stats, utils, graphics, grDevices, KernSmooth,
cluster, Rtsne, ClassDiscovery, Polychrome, dendextend, igraph,
flexmix, umap, kohonen

Xiaoyue Cheng, Dianne Cook, Heike Hofmann
A GUI for merging datasets in R using gWidgets.

c(person("Daniel", "Wollschlaeger", role=c("aut", "cre"), email="wollschlaeger@uni-mainz.de"),
person("Heiko", "Karle", role="aut"))
knitr, shiny, DT, bs4Dash, sortable, rgl, Boov
Calculates distance-based and volume-overlap-based
agreement measures for triangular 3D meshes. These include
the Hausdorff distance, the average surface distance, the
Dice similarity coefficient, and the Jaccard similarity
coefficient as documented in Stockinger et al. (2021)
<doi:10.1186/s13014-021-01965-5>. Overall agreement for
a set of meshes is calculated as the aggregate agreement
for all pairwise comparisons. Based on algorithms
provided by the 'VCGLIB' <http://vcg.isti.cnr.it/vcglib/>
and 'CGAL' <https://www.cgal.org/> libraries.
Includes web-based graphical user interface.
Daniel Wollschlaeger [aut, cre],
Heiko Karle [aut]

Uses the 'CGAL' C++ library to perform operations on 3D
meshes: Boolean operations (intersection, union, difference),
Minkowski sum, smoothing, clipping, decomposition into convex parts.
data.table, gmp, Rcpp (>= 1.0.7), rgl, Rvcg

Provides some utilities for 3D meshes: clipping of a mesh to
the volume bounded by another mesh, decomposition into convex parts,
distance between a mesh and a point, volume, area, and centroid. All
algorithms are performed by the 'C++' library 'CGAL'
(<https://www.cgal.org/>).
data.table, gmp, PolygonSoup, Rcpp (>= 1.0.9), rgl, Rvcg

meta-analysis of genome-wide SNP association results
a package for meta-analysis of genome-wide association
scans between quantitative or binary traits and SNPs