Automatically install, update, and load 'CRAN', 'GitHub', and 'Bioconductor' 
    packages in a single function call. By accepting bare unquoted names for packages, 
    it's easy to add or remove packages from the list.

Generate a local library copy with relevant packages. 
    All packages currently found within the search path - except base packages - 
    will be copied to the directory provided and can be used later on with the 
    .libPaths() function.

Tools for fast and accurate evaluation of skew stable distributions 
  (CDF, PDF and quantile functions), random number generation, and parameter 
  estimation.  This is 'libstableR' as per Royuela del Val, Simmross-Wattenberg, 
  and Alberola López (2017) <doi:10.18637/jss.v078.i01> under a new maintainer.

The LIC criterion is to determine the most informative subsets so that the subset can retain most of the information contained in the complete data. The philosophy of the package is described in Guo G. (2022) <doi:10.1080/02664763.2022.2053949>.

Reads raw files from Li-COR gas analyzers and produces a dataframe that can directly be used with 'fluxible' <https://cran.r-project.org/package=fluxible>.

Provides functions for forest objects detection, structure metrics 
    computation, model calibration and mapping with airborne laser scanning:
    co-registration of field plots (Monnet and Mermin (2014) 
    <doi:10.3390/f5092307>); tree detection (method 1 in Eysn et al. (2015) 
    <doi:10.3390/f6051721>) and segmentation; forest parameters estimation with 
    the area-based approach: model calibration with ground reference, and maps 
    export (Aussenac et al. (2023) <doi:10.12688/openreseurope.15373.2>); 
    extraction of both physical (gaps, edges, trees) and statistical 
    features useful for e.g. habitat suitability modeling (Glad et al. (2020) 
    <doi:10.1002/rse2.117>) and forest maturity mapping (Fuhr et al. (2022) 
    <doi:10.1002/rse2.274>).

Airborne LiDAR (Light Detection and Ranging) interface for data
    manipulation and visualization. Read/write 'las' and 'laz' files, computation
    of metrics in area based approach, point filtering, artificial point reduction,
    classification from geographic data, normalization, individual tree segmentation
    and other manipulations.