Provides utility functions and objects for Extreme Value
    Analysis. These include probability functions with their exact
    derivatives w.r.t. the parameters that can be used for estimation
    and inference, even with censored observations. The
    transformations exchanging the two parameterizations of Peaks Over
    Threshold (POT) models: Poisson-GP and Point-Process are also
    provided with their derivatives.

Tools for reading and writing NIfTI-1.1 (NII) files, including optimized voxelwise read/write operations and a simplified method to write dataframes to NII.
    Specification of the NIfTI-1.1 format can be found here <https://nifti.nimh.nih.gov/nifti-1>.
    Scientific publication first using these tools
        Koscik TR, Man V, Jahn A, Lee CH, Cunningham WA (2020) <doi:10.1016/j.neuroimage.2020.116764> "Decomposing the neural pathways in a simple, value-based choice." Neuroimage, 214, 116764.

Estimate the correlation between two NIfTI images across random parcellations of the images (Fortea et al., under review). This approach overcomes the problems of both voxel-based correlations (neighbor voxels may be spatially dependent) and atlas-based correlations (the correlation may depend on the atlas used).

Computes and plots the boundary between night and day.

Routines for enumerating all existing nonnegative integer solutions of a linear Diophantine equation. The package provides routines for solving 0-1, bounded and unbounded knapsack problems; 0-1, bounded and unbounded subset sum problems; additive partitioning of natural numbers; and one-dimensional bin-packing problem.

Th-U-Pb electron microprobe age dating of monazite, as originally 
             described in <doi:10.1016/0009-2541(96)00024-1>.

Estimators and variance estimators tailored to the NILS hierarchical design (Adler et al. 2020, <https://res.slu.se/id/publ/105630>; Grafström et al. 2023, <https://res.slu.se/id/publ/128235>).
     The National Inventories of Landscapes in Sweden (NILS) is a long-term national monitoring program that collects, analyses and presents data on Swedish nature, covering both common and rare habitats <https://www.slu.se/om-slu/organisation/institutioner/skoglig-resurshushallning/miljoanalys/nils/>.