Paired mass distance (PMD) analysis proposed in Yu, Olkowicz and Pawliszyn (2018) <doi:10.1016/j.aca.2018.10.062> and PMD based reactomics analysis proposed in Yu and Petrick (2020) <doi:10.1038/s42004-020-00403-z> for gas/liquid chromatography–mass spectrometry (GC/LC-MS) based non-targeted analysis. PMD analysis including GlobalStd algorithm and structure/reaction directed analysis. GlobalStd algorithm could found independent peaks in m/z-retention time profiles based on retention time hierarchical cluster analysis and frequency analysis of paired mass distances within retention time groups. Structure directed analysis could be used to find potential relationship among those independent peaks in different retention time groups based on frequency of paired mass distances. Reactomics analysis could also be performed to build PMD network, assign sources and make biomarker reaction discovery. GUIs for PMD analysis is also included as 'shiny' applications.

Calculate Predictive Moran's Eigenvector Maps (pMEM) for
  spatially-explicit prediction of environmental variables, as defined by
  Guénard and Legendre (2024) <doi:10.1111/2041-210X.14413>. pMEM extends
  classical MEM by enabling interpolation and prediction at unsampled locations
  using spatial weighting functions parameterized by range (and optionally
  shape). The package implements multiple pMEM types (e.g., exponential,
  Gaussian, linear) and features a modular architecture that allows programmers
  to define custom weighting functions. Designed for ecologists, geographers,
  and spatial analysts working with spatially-structured data.

Allows to download current and historical METAR weather reports
  extract and parse basic parameters and present main weather information. 
  Current reports are downloaded from Aviation Weather Center 
  <https://aviationweather.gov/data/metar/> and historical reports from
  Iowa Environmental Mesonet web page of Iowa State University
  ASOS-AWOS-METAR <http://mesonet.agron.iastate.edu/AWOS/>.