Title: Bayesian Spatio-Temporal Analysis in Stream Networks
Authors@R: c(person("Edgar", "Santos-Fernandez", role = c("aut", "cre","cph"),
Description: Fits Bayesian spatio-temporal models and makes predictions on stream networks using the approach by Santos-Fernandez, Edgar, et al. (2021)."Bayesian spatio-temporal models for stream networks" <arXiv:2103.03538>. In these models, spatial dependence is captured using stream distance and flow connectivity, while temporal autocorrelation is modelled using vector autoregression methods.
Author: Edgar Santos-Fernandez [aut, cre, cph]

Description: A package that provides a client interface to SOAP (Simple
Object Access Protocol) servers from within R.
Collate: ClassDefns.R fault.S http.S parseSOAP.S print.S RPC.R SOAP.S
Note: There is an opportunity to do a lot of optimization in the
machine generated code to reduce the processing time. This is a
simple approach that "works" with little regard for

Title: Stream Suitable Online Support Vector Machines
Author: Andrew Thomas Jones, Hien Duy Nguyen,  Geoffrey J. McLachlan
Description: 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.
Imports: Rcpp (>= 0.12.13), mvtnorm, MASS
Suggests: testthat, knitr, rmarkdown, ggplot2, gganimate, gifski
Packaged: 2019-05-06 08:56:26 UTC; andrewjones

Title: Simulated Sampling Procedure for Community Ecology
Authors@R: 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"))
Description: 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>.
Suggests: knitr, rmarkdown, testthat, roxygen2
Imports: vegan, stats, sampling, ggplot2