Extract cross sections from long bone meshes at specified intervals along the diaphysis. Calculate two and three-dimensional morphometric maps, cross-sectional geometric parameters, and semilandmarks on the periosteal and endosteal contours of each cross section.

Computes the optimal number of regions (or subdivisions) and 
    their position in serial structures without a priori assumptions and to visualize 
    the results. After reducing data dimensionality with the built-in function for
    data ordination, regions are fitted as segmented linear regressions
    along the serial structure. Every region boundary
    position and increasing number of regions are iteratively fitted and
    the best model (number of regions and boundary positions) is selected
    with an information criterion. This package expands on the previous
    'regions' package (Jones et al., Science 2018) with improved
    computation and more fitting and plotting options.

Implements adaptive landscape methods first described by Polly et al. (2016) <doi:10.1080/02724634.2016.1111225> for the integration, analysis and visualization of biological trait data on a phenotypic morphospace - typically defined by shape metrics.

Tools for multivariate analyses of morphological data, wrapped in one package, to make the workflow convenient and fast. Statistical and graphical tools provide a comprehensive framework for checking and manipulating input data, statistical analyses, and visualization of results. Several methods are provided for the analysis of raw data, to make the dataset ready for downstream analyses. Integrated statistical methods include hierarchical classification, principal component analysis, principal coordinates analysis, non-metric multidimensional scaling, and multiple discriminant analyses: canonical, stepwise, and classificatory (linear, quadratic, and the non-parametric k nearest neighbours). The philosophy of the package is described in Šlenker et al. 2022.

Agricultural data for 1888-2021 from the Morrow Plots at the 
    University of Illinois. The world's second oldest ongoing agricultural 
    experiment, the Morrow Plots measure the impact of crop rotation and 
    fertility treatments on corn yields. The data includes planting information
    and annual yield measures for corn grown continuously and in rotation with
    other crops, in treated and untreated soil.