Provides utilities for estimation for the multivariate inverse Gaussian distribution of Minami (2003) <doi:10.1081/STA-120025379>, including random vector generation and explicit estimators of the location vector and scale matrix. The package implements kernel density estimators discussed in Belzile, Desgagnes, Genest and Ouimet (2024) <doi:10.48550/arXiv.2209.04757> for smoothing multivariate data on half-spaces.

Allows the user to estimate transition probabilities for
    migratory animals between any two phases of the annual cycle, using a
    variety of different data types. Also quantifies the strength of
    migratory connectivity (MC), a standardized metric to quantify the
    extent to which populations co-occur between two phases of the annual
    cycle. Includes functions to estimate MC and the more traditional
    metric of migratory connectivity strength (Mantel correlation)
    incorporating uncertainty from multiple sources of sampling error. For
    cross-species comparisons, methods are provided to estimate
    differences in migratory connectivity strength, incorporating
    uncertainty. See Cohen et al. (2018) <doi:10.1111/2041-210X.12916>,
    Cohen et al. (2019) <doi:10.1111/ecog.03974>, and Roberts et al.
    (2023) <doi:10.1002/eap.2788> for details on some of these methods.

Tools for estimating, measuring and working with migration data.

A set of tools for testing networks.
   It includes functions for univariate and multivariate 
   conditional uniform graph and quadratic assignment procedure testing,
   and network regression.
   The package is a complement to 
   'Multimodal Political Networks' (2021, ISBN:9781108985000),
   and includes various datasets used in the book.
   Built on the 'manynet' package, all functions operate with matrices, edge lists, 
   and 'igraph', 'network', and 'tidygraph' objects,
   and on one-mode and two-mode (bipartite) networks.

Tools to help convert credit risk data at two timepoints
    into traditional credit state migration (aka, "transition") matrices.
    At a higher level, 'migrate' is intended to help an analyst understand
    how risk moved in their credit portfolio over a time interval.
    References to this methodology include:
    1. Schuermann, T. (2008) <doi:10.1002/9780470061596.risk0409>.
    2. Perederiy, V. (2017) <doi:10.48550/arXiv.1708.00062>.