Constructs a space-filling design under the criterion of maximum-minimum distance. Both discrete and continuous searches are provided.

Implementation of the sampling and aggregation method for the covariate shift maximin effect, which was proposed in <arXiv:2011.07568>. It constructs the confidence interval for any linear combination of the high-dimensional maximin effect.

Functions for Maximum Likelihood (ML) estimation, non-linear
   optimization, and related tools.  It includes a unified way to call
   different optimizers, and classes and methods to handle the results from
   the Maximum Likelihood viewpoint.  It also includes a number of convenience
   tools for testing and developing your own models.

Provides a likelihood-based approach to modeling species distributions using presence-only data. In contrast to the popular software program MAXENT, this approach yields estimates of the probability of occurrence, which is a natural descriptor of a species' distribution.

Computes the maximum matching for unweighted graph and maximum
    matching for (un)weighted bipartite graph efficiently.

Procedures to fit species distributions models from occurrence records and environmental variables, using 'glmnet' for model fitting. Model structure is the same as for the 'Maxent' Java package, version 3.4.0, with the same feature types and regularization options.  See the 'Maxent' website <http://biodiversityinformatics.amnh.org/open_source/maxent> for more details.

Functions to generate graphs that maximise the NODF (nestedness metric based
    on overlap and decreasing fill) metric for a given number of rows, columns
    and links. NODF was originally defined by Almeida-Neto et al. (2008)
    <doi:10.1111/j.0030-1299.2008.16644.x>. As nestedness in ecological networks
    depends on the size of the networks we require normalisation to make them
    comparable. We offer three highly optimised algorithms to find the
    optimising graphs so that users can choose an appropriate trade off between
    computation time and NODF value for the task at hand.