Mixed models for repeated measures (MMRM) are a popular
    choice for analyzing longitudinal continuous outcomes in randomized
    clinical trials and beyond; see for example Cnaan, Laird and Slasor
    (1997)
    <doi:10.1002/(SICI)1097-0258(19971030)16:20%3C2349::AID-SIM667%3E3.0.CO;2-E>.
    This package provides an interface for fitting MMRM within the 'tern'
    <https://cran.r-project.org/package=tern> framework by Zhu et al.
    (2023) and tabulate results easily using 'rtables'
    <https://cran.r-project.org/package=rtables> by Becker et al. (2023).
    It builds on 'mmrm' <https://cran.r-project.org/package=mmrm> by
    Sabanés Bové et al. (2023) for the actual MMRM computations.

Plots ternary diagrams (simplex plots / Gibbs triangles) and
  Holdridge life zone plots <doi:10.1126/science.105.2727.367> using the
  standard graphics functions.
  Allows custom annotation, interpolating, contouring and scaling of plotting
  region.
  Includes a 'Shiny' user interface for point-and-click ternary plotting.
  An alternative to 'ggtern', which uses the 'ggplot2' family of plotting 
  functions.

A suite of functions for visualising ternary probabilistic forecasts, as discussed in the paper by Jupp (2012) <doi:10.1098/rsta.2011.0350>.

Methods for spatial data analysis with vector (points, lines, polygons) and raster (grid) data. Methods for vector data include geometric operations such as intersect and buffer. Raster methods include local, focal, global, zonal and geometric operations. The predict and interpolate methods facilitate the use of regression type (interpolation, machine learning) models for spatial prediction, including with satellite remote sensing data. Processing of very large files is supported. See the manual and tutorials on <https://rspatial.org/> to get started. 'terra' replaces the 'raster' package ('terra' can do more, and it is faster and easier to use).

Provides triangulations of regular height fields, based on the methods described in "Fast Polygonal Approximation of Terrains and Height Fields" Michael Garland and Paul S. Heckbert (1995) <https://www.mgarland.org/files/papers/scape.pdf> using code from the 'hmm' library written by Michael Fogleman <https://www.github.com/fogleman/hmm>.