Stream Suitable Online Support Vector Machines
Andrew Thomas Jones, Hien Duy Nguyen,  Geoffrey J. McLachlan
Soft-margin support vector machines (SVMs) are a common class of classification models. The training of SVMs usually requires that the data be available all at once in a single batch, however the Stochastic majorization-minimization (SMM) algorithm framework allows for the training of SVMs on streamed data instead Nguyen, Jones & McLachlan(2018)<doi:10.1007/s42081-018-0001-y>. This package utilizes the SMM framework to provide functions for training SVMs with hinge loss, squared-hinge loss, and logistic loss.
testthat, knitr, rmarkdown, ggplot2, gganimate, gifski

Simulated Sampling Procedure for Community Ecology
c(person(given = "Edlin", family = "Guerra-Castro", role = c("aut", "cre"), email = "edlinguerra@gmail.com"),
person(given = "Maite", family = "Mascaro", role = "aut", email = "mmm@ciencias.unam.mx"),
person(given = "Nuno", family = "Simoes", role = "aut", email = "ns@ciencias.unam.mx"),
person(given = "Juan", family = "Cruz-Motta", role = "aut", email = "jjcruzmotta@gmail.com"),
person(given = "Juan", family = "Cajas", role = "aut", email = "carlos.cajas@enesmerida.unam.mx"))
Simulation-based sampling protocol (SSP) is an R package design to estimate sampling effort in studies of
ecological communities based on the definition of pseudo-multivariate standard error (MultSE) (Anderson & Santana-Garcon, 2015) <doi:10.1111/ele.12385> and simulation
of ecological data. The theoretical background is described in Guerra-Castro et al. (2020) <doi:10.1101/2020.03.19.996991>.
Edlin Guerra-Castro [aut, cre],
Maite Mascaro [aut],
Nuno Simoes [aut],
Juan Cruz-Motta [aut],
Juan Cajas [aut]

c(person(given="Takuya", family="Yanagida", email="takuya.yanagida@univie.ac.at", role=c("cre","aut")),
person(given="Keiko", family="Sakai",email="keiko.sakai@@oit.ac.jp", role="aut"))
Takuya Yanagida [cre, aut],
Keiko Sakai [aut]
Takeya Semantic Structure Analysis (TSSA) and Sakai Sequential Relation Analysis (SSRA)
for polytomous items for examining whether each pair of items has a sequential or equal
relation. Package includes functions for generating a sequential relation table and a
treegram to visualize sequential or equal relations between pairs of items.