Geographically Weighted Non-Negative Principal Components
Analysis
c(person(given = "Narumasa",
family = "Tsutsumida",
role = c("aut", "cre"),
email = "rsnaru.jp@gmail.com",
comment = c(ORCID = "0000-0002-6333-0301")))
Implements a geographically weighted non-negative principal components analysis, which consists of the fusion of geographically weighted and sparse non-negative principal components analyses (Tsutsumida N. et al., (2019) <doi:10.17608/k6.auckland.9850826.v1>).
Narumasa Tsutsumida [aut, cre]
(<https://orcid.org/0000-0002-6333-0301>)

Implements a geographically weighted non-negative principal components analysis, which consists of the fusion of geographically weighted and sparse non-negative principal components analyses <doi:10.17608/k6.auckland.9850826.v1>.
sp, sf, pracma, geodist, nsprcomp, methods, spData

Geographically Weighted Partial Correlation Coefficient
c(person(given = "Narumasa",
family = "Tsutsumida",
role = c("aut", "cre"),
email = "rsnaru.jp@gmail.com",
comment = c(ORCID = "0000-0002-6333-0301")),
person(given = "Joseph",
family = "Percival",
role = c("aut"),
email = "ipercival@gmail.com"))
Implements a geographically weighted partial correlation which is an extension from gwss() function in the 'GWmodel' package (Percival and Tsutsumida (2017) <doi:10.1553/giscience2017_01_s36>).
methods, dplyr, sp, sf, GWmodel, corpcor, foreach, parallel,
doParallel
Narumasa Tsutsumida [aut, cre]
(<https://orcid.org/0000-0002-6333-0301>),
Joseph Percival [aut]

methods, dplyr, sp, sf, geodist, pracma, corpcor, foreach,
parallel, doParallel

Genome-wide significance for whole genome sequencing studies
Estimate genome-wide significance using extrapolation approach

Estimating Genome-Wide Significance for Whole Genome Sequencing
Studies, Either Single SNP Tests or Region-Based Tests
The correlations and linkage disequilibrium between tests can vary as a function of minor allele frequency thresholds used to filter variants, and also varies with different choices of test statistic for region-based tests. Appropriate genome-wide significance thresholds can be estimated empirically through permutation on only a small proportion of the whole genome.