Karline Soetaert <karline.soetaert@nioz.nl>, Thomas Petzoldt
<thomas.petzoldt@tu-dresden.de>

Rhythmic Patterns Modeling by FMM Models
Adrian Lamela, Itziar Fernandez, Yolanda Larriba, Alejandro Rodriguez, Cristina Rueda
Provides a collection of functions to fit and explore single, multi-component and restricted Frequency Modulated Moebius (FMM) models. 'FMM' is a nonlinear parametric regression model capable of fitting non-sinusoidal shapes in rhythmic patterns. Details about the mathematical formulation of 'FMM' models can be found in Rueda et al. (2019) <doi:10.1038/s41598-019-54569-1>.
methods, foreach, iterators, parallel, doParallel

Itziar Fernandez, Alejandro Rodriguez-Collado, Yolanda Larriba, Adrian Lamela, Christian Canedo, Cristina Rueda
methods, rlang, foreach, iterators, parallel, doParallel

ggplot2, gridExtra, knitr, RColorBrewer, rmarkdown, testthat
(>= 3.0.0)

Filtered Monotonic Polynomial IRT Models
Estimates Filtered Monotonic Polynomial IRT Models as described by Liang and Browne (2015) <DOI:10.3102/1076998614556816>.

This package implements some basic procedures for dealing
with log maximally skew stable distributions, which are also
called finite moment log stable distributions.

Some basic procedures for dealing
with log maximally skew stable distributions, which are also
called finite moment log stable distributions.

Carel F.W. Peeters [cre, aut], Caroline Ubelhor [ctb], Kevin Kunzmann [ctb]
Functions that support stable prediction and classification with radiomics data through factor-analytic modeling. For details, see Peeters et al. (2019) <arXiv:1903.11696>.
stats, ggplot2, reshape, Biobase, graphics, expm, MASS

Carel F.W. Peeters [cre, aut], Caroline Ubelhor [ctb]

Regression Models with Finite Mixtures of Skew Heavy-Tailed
Errors
Luis Benites Sanchez and Rocio Paola Maehara and Victor Hugo Lachos
Fit linear regression models where the random errors follow a finite mixture of of Skew Heavy-Tailed Errors.

Fast Nearest Neighbor Search Algorighms and Applications
A collection of fast k-nearest neighbor search algorighms
and applications including a cover-tree, kd-tree and the
nearest neighbor algorithm in package class. Cover-tree
templated code is taken from
http://hunch.net/~jl/projects/cover_tree/cover_tree.html. The
ANN C++ library for kd-tree is taken from
http://www.cs.umd.edu/~mount/ANN/. In addtion, KNN
classification and regression are implemented.