Functions for performing (external) multidimensional unfolding.
             Restrictions (fixed coordinates or model restrictions) are available for both row and column coordinates in all combinations.

Provides functions to help in fitting models to data, to
  perform Monte Carlo, sensitivity and identifiability analysis. It is
  intended to work with models be written as a set of differential
  equations that are solved either by an integration routine from
  package 'deSolve', or a steady-state solver from package
  'rootSolve'. However, the methods can also be used with other types of
  functions.

Create local, regional, and global explanations for any machine learning model with forward marginal effects. You provide a model and data, and 'fmeffects' computes feature effects. The package is based on the theory in: C. A. Scholbeck, G. Casalicchio, C. Molnar, B. Bischl, and C. Heumann (2022) <doi:10.48550/arXiv.2201.08837>.

Generate planar and spherical triangle meshes,
    compute finite element calculations for 1-, 2-, and 3-dimensional flat
    and curved manifolds with associated basis function spaces, methods for
    lines and polygons, and transparent handling of coordinate reference
    systems and coordinate transformation, including 'sf' and 'sp' geometries.
    The core 'fmesher' library code was originally part of the 'INLA' package,
    and implements parts of "Triangulations and Applications" by
    Hjelle and Daehlen (2006) <doi:10.1007/3-540-33261-8>.

Provides a suite of functions to test for Functional
    Measurement Invariance (FMI) between two groups. Implements
    hierarchical permutation tests for configural, metric, and scalar
    invariance, adapting concepts from Multi-Group Confirmatory
    Factor Analysis (MGCFA) to functional data.
    Methods are based on concepts from: 
    Meredith, W. (1993) <doi:10.1007/BF02294825>,5
    Yao, F., Müller, H. G., & Wang, J. L. (2005) <doi:10.1198/016214504000001745>,
    and Lee, K. Y., & Li, L. (2022) <doi:10.1111/rssb.12471>.