Download and read datasets from the Swiss National
     Science Foundation (SNF, FNS, SNSF; <https://snf.ch>).  The
     package is lightweight and without dependencies.  Downloaded
     data can optionally be cached, to avoid repeated downloads of
     the same files.  There are also utilities for comparing
     different versions of datasets, i.e. to report added, removed
     and changed entries.

Consolidated data simulation, sample size calculation and
    analysis functions for several snSMART (small sample sequential,
    multiple assignment, randomized trial) designs under one library.  See
    Wei, B., Braun, T.M., Tamura, R.N. and Kidwell, K.M. "A Bayesian
    analysis of small n sequential multiple assignment randomized trials
    (snSMARTs)." (2018) Statistics in medicine, 37(26), pp.3723-3732
    <doi:10.1002/sim.7900>.

Easily calculate precession and obliquity from an orbital solution (defaults to ZB18a from Zeebe and Lourens (2019) <doi:10.1126/science.aax0612>) and assumed or reconstructed values for tidal dissipation (Td) and dynamical ellipticity (Ed). This is a translation and adaptation of the 'C'-code in the supplementary material to Zeebe and Lourens (2022) <doi:10.1029/2021PA004349>, with further details on the methodology described in Zeebe (2022) <doi:10.3847/1538-3881/ac80f8>. The name of the 'C'-routine is 'snvec', which refers to the key units of computation: spin vector s and orbit normal vector n.

Identifies single nucleotide variants in next-generation sequencing data by estimating their local false discovery rates. For more details, see Karimnezhad, A. and Perkins, T. J. (2024) <doi:10.1038/s41598-024-51958-z>.

Allows objects to be stored on disc and automatically
       		recalled into memory, as required, by delayed assignment.

Creates stratum orthogonal arrays (also known as strong orthogonal arrays). These are arrays with more levels per column than the typical orthogonal array, and whose low order projections behave like orthogonal arrays, when collapsing levels to coarser strata. Details are described in Groemping (2022) "A unifying implementation of stratum (aka strong) orthogonal arrays" <http://www1.bht-berlin.de/FB_II/reports/Report-2022-002.pdf>.