Functions for fitting and doing predictions with
    Gaussian process models using Vecchia's (1988) approximation. 
    Package also includes functions for reordering input locations, 
    finding ordered nearest neighbors (with help from 'FNN' package), 
    grouping operations, and conditional simulations.
    Covariance functions for spatial and spatial-temporal data
    on Euclidean domains and spheres are provided. The original 
    approximation is due to Vecchia (1988) 
    <http://www.jstor.org/stable/2345768>, and the reordering and
    grouping methods are from Guinness (2018) 
    <doi:10.1080/00401706.2018.1437476>.
    Model fitting employs a Fisher scoring algorithm described
    in Guinness (2019) <doi:10.48550/arXiv.1905.08374>.

Tools to build and work with bilateral generalized-mean
    price indexes (and by extension quantity indexes), and indexes composed of
    generalized-mean indexes (e.g., superlative quadratic-mean indexes, GEKS).
    Covers the core mathematical machinery for making bilateral price indexes,
    computing price relatives, detecting outliers, and decomposing indexes,
    with wrappers for all common (and many uncommon) index-number
    formulas. Implements and extends many of the methods in
    Balk (2008, <doi:10.1017/CBO9780511720758>), von der Lippe (2007,
    <doi:10.3726/978-3-653-01120-3>), and the CPI manual (2020,
    <doi:10.5089/9781484354841.069>).

Collection of datasets as prepared by Profs. A.P. Gore, S.A. Paranjape, and M.B. Kulkarni of Department of Statistics, Poona University, India. With their permission, first letter of their names forms the name of this package, the package has been built by me and made available for the benefit of R users. This collection requires a rich class of models and can be a very useful building block for a beginner.

Build Open Geospatial Consortium 'GeoPackage' files (<https://www.geopackage.org/>). 'GDAL' utilities for reading and writing spatial data are provided by the 'terra' package. Additional 'GeoPackage' and 'SQLite' features for attributes and tabular data are implemented with the 'RSQLite' package.