Functions for converting among CIE XYZ, xyY, Lab, and Luv.
      Calculate Correlated Color Temperature (CCT) and the Planckian and daylight loci.  
      The XYZs of some standard illuminants and some standard linear chromatic adaptation transforms (CATs) are included.
      Three standard color difference metrics are included, plus the forward direction of the 'CIECAM02' color appearance model.

Classes and methods for spatio-temporal data, including space-time regular lattices, sparse lattices, irregular data, and trajectories; utility functions for plotting data as map sequences (lattice or animation) or multiple time series; methods for spatial and temporal selection and subsetting, as well as for spatial/temporal/spatio-temporal matching or aggregation, retrieving coordinates, print, summary, etc.

Simultaneous/joint diagonalization of local autocovariance matrices to estimate spatio-temporally uncorrelated random fields.

Spatial components offer tools for dimension reduction and 
  spatially variable gene detection for high dimensional spatial transcriptomics 
  data. Construction of a projection onto low-dimensional feature space of 
  spatially dependent metagenes offers pre-processing to clustering, testing for 
  spatial variability and denoising of spatial expression patterns. For more 
  details, see Koehler et al. (2026) <doi:10.1093/bioinformatics/btag052>.

A spatial covariate-augmented overdispersed Poisson factor model is proposed to perform efficient latent representation learning method for high-dimensional large-scale spatial count data with additional covariates.

An R wrapper to the 'Python' 'spaCy' 'NLP' library,
    from <https://spacy.io>.

Provides a 'shiny' application with a user-friendly interface 
  for interactive data analysis. It supports exploratory data analysis 
  through descriptive statistics, data visualization, statistical 
  tests (e.g., normality assessment), linear modeling, data 
  import, transformation and reporting. For more details see Shapiro and Wilk 
  (1965) <doi:10.2307/2333709>.