J L Marchini <marchini@stats.ox.ac.uk>, C Heaton
<chrisheaton99@yahoo.com> and B D Ripley
<ripley@stats.ox.ac.uk>
Implementation of FastICA algorithm to perform Independent
Component Analysis (ICA) and Projection Pursuit.

FastICA Algorithms to Perform ICA and Projection Pursuit

J L Marchini, C Heaton and B D Ripley <ripley@stats.ox.ac.uk>

Efficient Jonckheere-Terpstra Test Statistics for Robust Machine
Learning and Genome-Wide Association Studies
Jiaxing Lin, Alexander Sibley, Ivo Shterev, and Kouros Owzar
This 'Rcpp'-based package implements highly efficient functions for the calculation of the Jonckheere-Terpstra statistic. It can be used for a variety of applications, including feature selection in machine learning problems, or to conduct genome-wide association studies (GWAS) with multiple quantitative phenotypes. The code leverages 'OpenMP' directives for multi-core computing to reduce overall processing time.

Fast Linear Step Up Procedure of Benjamini–Hochberg FDR Method
for Huge-Scale Testing Problems
Xikun Han <hanxikun2014@163.com>,
Vered Madar <vered.madar@gmail.com>  and
Sandra Batista <sbatista@cs.princeton.edu>
An efficient algorithm to apply the Benjamini–Hochberg Linear Step Up FDR controlling procedure in huge-scale testing problems (proposed in Vered Madar and Sandra Batista(2016) <DOI:10.1093/bioinformatics/btw029>). Unlike "BH" method, the package does not require any p value ordering. Besides, it permits separating p values arbitrarily into computationally feasible chunks  of arbitrary size and produces the same results as those from applying linear step up BH procedure to the entire set of tests.

A Fast Laplace Method for Spatial Generalized Linear Mixed Model
c(
person("Sangwan", "Lee", email = "sangwanlee@yonsei.ac.kr", role = c("cre","aut")),
person("Jaewoo", "Park", email = "jaewoopark88@yonsei.ac.kr", role = "aut"))
Fitting a fast Laplace approximation for Spatial Generalized Linear Mixed Model as
described in Park and Lee (2021) <https://github.com/sangwan93/fastLaplace/blob/main/FastLaplaceMain.pdf>.
knitr, rmarkdown, testthat (>= 3.0.0), spelling, mgcv,
ngspatial, MASS
Sangwan Lee [cre, aut],
Jaewoo Park [aut]