Authors@R: c(person("Meinolf", "Ottensmann", email = "meinolf.ottensmann@web.de", role = c("aut","cre")),
person("Martin", "Stoffel", email = "martin.adam.stoffel@gmail.com", role = c("aut")),
person("Hazel J.", "Nichols", role = c("aut")),
person("Joseph I.", "Hoffman", role = c("aut")))
Description: Aligns peak based on peak retention times and matches homologous peaks
across samples. The underlying alignment procedure comprises three sequential steps.
(1) Full alignment of samples by linear transformation of retention times to
maximise similarity among homologous peaks (2) Partial alignment of peaks within
a user-defined retention time window to cluster homologous peaks (3) Merging rows
that are likely representing homologous substances (i.e. no sample shows peaks in
both rows and the rows have similar retention time means). The algorithm is described in detail
in Ottensmann et al. submitted <doi:10.1101/110494>.

in Ottensmann et al., 2018 <doi:10.1371/journal.pone.0198311>.

person("Meinolf", "Ottensmann", email = "meinolf.ottensmann@web.de", role = c("aut","cre"),
Author: Meinolf Ottensmann [aut, cre] (<https://orcid.org/0000-0003-3112-6928>),

Authors@R: person("Yongze Song", email = "yongze.song@postgrad.curtin.edu.au",
Description: Geographical detectors for measuring spatial stratified heterogeneity,
Jinfeng Wang (2016) <doi:10.1016/j.ecolind.2016.02.052>. Includes the
discretization of continuous data and four primary functions of
Imports: BAMMtools, ggplot2, stats, utils

Title: Geographical Detectors for Assessing Spatial Factors
optimal discretization of continuous data, four primary functions of
geographical detectors, comparison of size effects of spatial unit and
descriptions of the package, methods and case datasets, please cite
The model has been applied in factor exploration of road performance and
multi-scale spatial segmentation for network data, as described in
Packaged: 2021-04-27 04:20:03 UTC; yongzesong
Author: Yongze Song [aut, cre] (<https://orcid.org/0000-0003-3420-9622>)