Title: Color schemes compatible with red-green color perception
Description: This package is a port of the MATLAB colourmap functions
accompanying the paper M. Geissbuehler and T. Lasser, "How to display data
by color schemes compatible with red-green color perception deficiencies,"
Author: Matthias Geissbuehler <matthias.geissbuehler@a3.epfl.ch>, James Manton

Title: 3D Segmentation of Voxels into Morphologic Classes
person("Tarmo K.", "Remmel", email = "remmelt@yorku.ca", role = c("aut", "cre"), comment = c(ORCID = "0000-0001-6251-876X")))
Description: Automatically segments a 3D array of voxels into mutually exclusive morphological elements. This package extends existing work for segmenting 2D binary raster data. A paper documenting this approach has been accepted for publication in the journal Landscape Ecology. Detailed references will be updated here once those are known.
Depends: R (>= 4.1.0), rgl, reshape2, igraph, stringr
Author: Tarmo K. Remmel [aut, cre] (<https://orcid.org/0000-0001-6251-876X>)

Description: Tokenize text into morphemes. The morphemepiece algorithm uses a
lookup table to determine the morpheme breakdown of words, and falls back on a
modified wordpiece tokenization algorithm for words not found in the lookup
Imports: dlr (>= 1.0.0), magrittr, morphemepiece.data, piecemaker (>=
Suggests: dplyr, fs, ggplot2, here, knitr, remotes, rmarkdown, testthat
Packaged: 2021-09-06 19:40:48 UTC; jonathan.bratt
Author: Jonathan Bratt [aut, cre] (<https://orcid.org/0000-0003-2859-0076>),
Bedford Freeman & Worth Pub Grp LLC DBA Macmillan Learning [cph]

Packaged: 2021-09-16 20:21:00 UTC; jonathan.bratt

Packaged: 2021-12-06 21:34:24 UTC; jonathan.bratt

Imports: dlr (>= 1.0.0), fastmatch, magrittr, memoise (>= 2.0.0),
morphemepiece.data, piecemaker (>= 1.0.0), purrr (>= 0.3.4),
Packaged: 2022-04-08 17:52:26 UTC; jonathan.bratt

Packaged: 2022-04-16 13:57:47 UTC; jonathan.bratt

Description: Provides data about morphemes, the smallest units of meaning in a

Title: Estimate Parameters of Mixtures of Logistic Regressions
Description: Mixture of logistic regressions parameters (H)estimation with
(U)spectral methods. The main methods take d-dimensional inputs and a vector
of binary outputs, and return parameters according to the GLMs mixture model
(General Linear Model). For more details see chapter 3 in the PhD thesis of
Mor-Absa Loum: <http://www.theses.fr/s156435>, available here
Author: Benjamin Auder <Benjamin.Auder@u-psud.fr> [aut,cre],
Imports: MASS, jointDiag, methods, pracma
Suggests: devtools, flexmix, parallel, testthat, roxygen2, tensor,
Collate: 'utils.R' 'A_NAMESPACE.R' 'computeMu.R' 'multiRun.R'