Blind Source Separation for Multivariate Spatial Data using
Eigen Analysis
person("Sixing", "Hao", email = "s.hao3@lse.ac.uk",
role = c("aut", "cre"))
Provides functions for blind source separation over multivariate spatial data, and useful statistics for evaluating performance of estimation on mixing matrix. 'BSSoverSpace' is based on an eigen analysis of a positive definite matrix defined in terms of multiple normalized spatial local covariance matrices, and thus can handle moderately high-dimensional random fields. This package is an implementation of the method described in Zhang, Hao and Yao (2022)<arXiv:2201.02023>.

Whitening Data as Preparation for Blind Source Separation
c(person(given = "Markus",
family = "Matilainen",
role = c("cre","aut"),
email = "markus.matilainen@outlook.com",
comment = c(ORCID = "0000-0002-5597-2670")),
person(given = "Klaus",
family = "Nordhausen",
role = c("aut"),
email = "klaus.k.nordhausen@jyu.fi",
comment = c(ORCID = "0000-0002-3758-8501")))
Whitening is the first step of almost all blind source separation (BSS) methods. A fast implementation of whitening for BSS is implemented to serve as a lightweight dependency for packages providing BSS methods.
Markus Matilainen [cre, aut] (<https://orcid.org/0000-0002-5597-2670>),
Klaus Nordhausen [aut] (<https://orcid.org/0000-0002-3758-8501>)

Fitting a Log-Binomial Model using the Bekhit-Schöpe-Wagenpfeil
(BSW) Algorithm
Adam Bekhit, Jakob Schöpe, Stefan Wagenpfeil
Implements a modified Newton-type algorithm (BSW algorithm) for solving the maximum likelihood estimation problem in fitting a log-binomial model under linear inequality constraints.

Safety Assessment in Agricultural Field Trials
Collection of functions, data sets and code examples
for evaluations of field trials with the objective of equivalence assessment.

Statistical methods for safety assessment in agricultural field trials
Collection of functions, data sets and code examples
for evaluations of field trials with the objective of safety assessment.
R (>= 2.7.0), mvtnorm, multcomp, gamlss, mratios, MCPAN, pairwiseCI, lattice, geepack, boot