Downloads spatial data from spatiotemporal asset catalogs 
    ('STAC'), computes standard spectral indices from the Awesome Spectral 
    Indices project (Montero et al. (2023) <doi:10.1038/s41597-023-02096-0>) 
    against raster data, and glues the outputs together into predictor bricks. 
    Methods focus on interoperability with the broader spatial ecosystem; 
    function arguments and outputs use classes from 'sf' and 'terra', and data 
    downloading functions support complex 'CQL2' queries using 'rstac'.

R implementation of SIDES-based subgroup search algorithms (Lipkovich et al. (2017) <doi:10.1002/sim.7064>).

The main purpose of this package is to perform simulation-based
   estimation of stochastic actor-oriented models for longitudinal network
   data collected as panel data. Dependent variables can be single or
   multivariate networks, which can be directed, non-directed, or two-mode;
   and associated actor variables.
   There are also functions for testing parameters and checking goodness of fit.
   An overview of these models is given in Snijders (2017),
   <doi:10.1146/annurev-statistics-060116-054035>.

Provides templates and a working example for runtime Single
    Instruction Multiple Data ('SIMD') dispatch in 'C' code used by 'R'
    packages. Packages can stage scalar and architecture-specific kernel
    objects during configuration, then select a compiled and CPU-supported
    implementation at runtime through guarded function pointers. The package
    also vendors the header-only 'SIMDe' library for downstream packages through
    the 'LinkingTo' field.

Summarise results from simulation studies and compute Monte
    Carlo standard errors of commonly used summary statistics. This
    package is modelled on the 'simsum' user-written command in 'Stata'
    (White I.R., 2010
    <https://www.stata-journal.com/article.html?article=st0200>), further
    extending it with additional performance measures and functionality.

Easy-to-use functions for downloading air quality data from
    the Mexican National Air Quality Information System (SINAICA).  Allows
    you to query pollution and meteorological parameters from more than a
    hundred monitoring stations located throughout Mexico. See
    <https://sinaica.inecc.gob.mx> for more information.