Make efficient Rust implementations of graph adjustment
    identification distances available in R. These distances (based on ancestor,
    optimal, and parent adjustment) count how often the respective adjustment
    identification strategy leads to causal inferences that are incorrect
    relative to a ground-truth graph when applied to a candidate graph instead.
    See also Henckel, Würtzen, Weichwald (2024) <doi:10.48550/arXiv.2402.08616>.

Fits linear regression, logistic and multinomial regression models, Poisson regression, Cox model via Global Adaptive Generative Adjustment Algorithm.  
 For more detailed information, see Bin Wang, Xiaofei Wang and Jianhua Guo (2022) <arXiv:1911.00658>. 
 This paper provides the theoretical properties of Gaga linear model when the load matrix is orthogonal. 
 Further study is going on for the nonorthogonal cases and generalized linear models. 
 These works are in part supported by the National Natural Foundation of China (No.12171076).

Performs genetic algorithm (Scrucca, L (2013) <doi:10.18637/jss.v053.i04>) 
             assisted genomic best liner unbiased prediction for genomic selection.
             It also provides a binning method in natural population for genomic selection
             under the principle of linkage disequilibrium for dimensional reduction.

Procedures for calculating variance components, study variation, percent study variation, and percent tolerance for gauge repeatability and reproducibility study.  Methods included are ANOVA and Average / Range methods.  Requires balanced study.

Implements graphical extension with accuracy in parameter estimation (AIPE) on RMSEA for sample size planning in structural equation modeling based on Lin, T.-Z. & Weng, L.-J. (2014) <doi: 10.1080/10705511.2014.915380>. And, it can also implement AIPE on RMSEA and power analysis on RMSEA.

The Global Biodiversity Information Facility 
    ('GBIF', <https://www.gbif.org>) sources data from an international network
    of data providers, known as 'nodes'. Several of these nodes - the "living 
    atlases" (<https://living-atlases.gbif.org>) - maintain their own web 
    services using software originally developed by the Atlas of Living 
    Australia ('ALA', <https://www.ala.org.au>). 'galah' enables the R community 
    to directly access data and resources hosted by 'GBIF' and its partner nodes.