Package: rNeighborQTL 1.1.2

Yasuhiro Sato

rNeighborQTL: Interval Mapping for Quantitative Trait Loci Underlying Neighbor Effects

To enable quantitative trait loci mapping of neighbor effects, this package extends a single-marker regression to interval mapping. The theoretical background of the method is described in Sato et al. (2021) <doi:10.1093/g3journal/jkab017>.

Authors:Yasuhiro Sato [aut, cre], Kazuya Takeda [aut], Atsushi J. Nagano [aut]

rNeighborQTL_1.1.2.tar.gz
rNeighborQTL_1.1.2.tar.gz(r-4.5-noble)rNeighborQTL_1.1.2.tar.gz(r-4.4-noble)
rNeighborQTL_1.1.2.tgz(r-4.4-emscripten)rNeighborQTL_1.1.2.tgz(r-4.3-emscripten)
rNeighborQTL.pdf |rNeighborQTL.html
rNeighborQTL/json (API)

# Install 'rNeighborQTL' in R:
install.packages('rNeighborQTL', repos = 'https://cloud.r-project.org')

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.00 score 648 downloads 1 mentions 8 exports 7 dependencies

Last updated 4 years agofrom:7ccb50985b. Checks:1 OK, 2 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 23 2025
R-4.5-linuxNOTEMar 23 2025
R-4.4-linuxNOTEMar 23 2025

Exports:calc_pveeff_neighborint_neighbormin_distperm_neighborplot_neiscan_neighborsim_nei_qtl

Dependencies:gastonlatticeMatrixqtlRcppRcppEigenRcppParallel

rNeighborQTL

Rendered fromrNeighborQTL.Rmdusingknitr::rmarkdownon Mar 23 2025.

Last update: 2021-04-09
Started: 2020-06-04

Citation

To cite rNeighborQTL in publications use:

Sato Y, Takeda K, Nagano AJ (2021) Neighbor QTL: an interval mapping method for quantitative trait loci underlying plant neighborhood effects. G3; Genes|Genomes|Genetics 11(2):jkab017. https://doi.org/10.1093/g3journal/jkab017

Corresponding BibTeX entry:

  @Article{,
    title = {Neighbor QTL: an interval mapping method for quantitative
      trait loci underlying plant neighborhood effects},
    author = {Yasuhiro Sato and Kazuya Takeda and Atsushi J. Nagano},
    journal = {G3; Genes|Genomes|Genetics},
    volume = {11},
    number = {2},
    year = {2021},
    doi = {10.1093/g3journal/jkab017},
    url = {https://doi.org/10.1093/g3journal/jkab017},
  }