Contains a collection of functions for performing different kinds
    of calculation that are of interest to someone following a diet plan.
    Calculators for the Basal Metabolic Rate are based on Mifflin et al. (1990)
    <doi:10.1093/ajcn/51.2.241> and  McArdle, W. D., Katch, F. I., &
    Katch, V. L. (2010, ISBN:9780812109917).

Motivated by changing administrative boundaries over time,
    the 'nuts' package can convert European regional data with NUTS codes
    between versions (2006, 2010, 2013, 2016 and 2021) and levels (NUTS 1,
    NUTS 2 and NUTS 3). The package uses spatial interpolation as in Lam
    (1983) <doi:10.1559/152304083783914958> based on granular (100m x
    100m) area, population and land use data provided by the European
    Commission's Joint Research Center.

Estimate nonlinear vector autoregression models (also known as the 
    next generation reservoir computing) for nonlinear dynamic systems. The 
    algorithm was described by Gauthier et al. (2021) <doi:10.1038/s41467-021-25801-2>.

Fits Bayesian regularized varying coefficient models with the Nonparametric Varying Coefficient Spike-and-Slab Lasso (NVC-SSL) introduced by Bai et al. (2023) <arXiv:1907.06477>. Functions to fit frequentist penalized varying coefficients are also provided, with the option of employing the group lasso penalty of Yuan and Lin (2006) <doi:10.1111/j.1467-9868.2005.00532.x>, the group minimax concave penalty (MCP) of Breheny and Huang <doi:10.1007/s11222-013-9424-2>, or the group smoothly clipped absolute deviation (SCAD) penalty of Breheny and Huang (2015) <doi:10.1007/s11222-013-9424-2>.

The n-vector framework uses the normal vector to
    the Earth ellipsoid (called n-vector) as a non-singular position
    representation that turns out to be very convenient for practical
    position calculations.  The n-vector is simple to use and gives exact
    answers for all global positions, and all distances, for both
    ellipsoidal and spherical Earth models.  This package is a translation
    of the 'Matlab' library from FFI, the Norwegian Defence Research
    Establishment, as described in Gade (2010)
    <doi:10.1017/S0373463309990415>.