Build graph/network structures using functions for stepwise
    addition and deletion of nodes and edges. Work with data available in
    tables for bulk addition of nodes, edges, and associated metadata. Use
    graph selections and traversals to apply changes to specific nodes or
    edges. A wide selection of graph algorithms allow for the analysis of
    graphs. Visualize the graphs and take advantage of any aesthetic
    properties assigned to nodes and edges.

Allows for export of DiagrammeR Graphviz objects to SVG.

Performs Diallel Analysis with R using Griffing's and Hayman's approaches. Four different Methods (1: Method-I (Parents + F1's + reciprocals); 2: Method-II (Parents and one set of F1's); 3: Method-III (One set of F1's and reciprocals); 4: Method-IV (One set of F1's only)) and two Models (1: Fixed Effects Model; 2: Random Effects Model) can be applied using Griffing's approach.

Parse, format, and validate international phone
    numbers using Google's 'libphonenumber' java library,
    <https://github.com/google/libphonenumber>.

Collects 'libphonenumber' jars required for the
    'dialr' package.

Many models contain tuning parameters (i.e. parameters that
    cannot be directly estimated from the data). These tools can be used
    to define objects for creating, simulating, or validating values for
    such parameters.

Visualize one-factor data frame. 
  Beads plot consists of diamonds of each factor of each data series. 
  A diamond indicates average and range. 
  Look over a data frame with many numeric columns and a factor column.

Provides a set of functions for securely storing 'API' tokens and interacting with the <https://diariodeobras.net> system. Includes convenient wrappers around the 'httr2' package to perform authenticated requests, retrieve project details, tasks, reports, and more.

Calculate multiple biotic indices using diatoms from environmental samples. Diatom species are recognized by their species' name using a heuristic search, and their ecological data is retrieved from multiple sources.
    It includes number/shape of chloroplasts diversity indices, size classes, ecological guilds, and multiple biotic indices.
    It outputs both a dataframe with all the results and plots of all the obtained data in a defined output folder.
    - Sample data was taken from Nicolosi Gelis, Cochero & Gómez (2020, <doi:10.1016/j.ecolind.2019.105951>).
    - The package uses the 'Diat.Barcode' database to calculate morphological and ecological information by Rimet & Couchez (2012, <doi:10.1051/kmae/2012018>),and the combined classification of guilds and size classes established by B-Béres et al. (2017, <doi:10.1016/j.ecolind.2017.07.007>).
    - Current diatom-based biotic indices include the DES index by Descy (1979)
    - EPID index by Dell'Uomo (1996, ISBN: 3950009002)
    - IDAP index by Prygiel & Coste (1993, <doi:10.1007/BF00028033>)
    - ID-CH index by Hürlimann & Niederhauser (2007)
    - IDP index by Gómez & Licursi (2001, <doi:10.1023/A:1011415209445>)
    - ILM index by Leclercq & Maquet (1987)
    - IPS index by Coste (1982)
    - LOBO index by Lobo, Callegaro, & Bender (2002, ISBN:9788585869908)
    - SLA by Sládeček (1986, <doi:10.1002/aheh.19860140519>)
    - TDI index by Kelly, & Whitton (1995, <doi:10.1007/BF00003802>)
    - SPEAR(herbicide) index by Wood, Mitrovic, Lim, Warne, Dunlop, & Kefford (2019, <doi:10.1016/j.ecolind.2018.12.035>)
    - PBIDW index by Castro-Roa & Pinilla-Agudelo (2014)
    - DISP index by Stenger-Kovács et al. (2018, <doi:10.1016/j.ecolind.2018.07.026>)
    - EDI index by Chamorro et al. (2024, <doi:10.1021/acsestwater.4c00126>)
    - DDI index by Álvarez-Blanco et al. (2013, <doi: 10.1007/s10661-012-2607-z>)
    - PDISE index by Kahlert et al. (2023, <doi:10.1007/s10661-023-11378-4>).