An R interface to the Galvanize 'Highbond' API <https://docs-apis.highbond.com>.

Functions for fitting and working with generalized
		additive models, as described in chapter 7 of "Statistical Models in S" (Chambers and Hastie (eds), 1991), and "Generalized Additive Models" (Hastie and Tibshirani, 1990).

Conducts hierarchical partitioning to calculate individual contributions of each predictor towards adjusted R2 and explained deviance for generalized additive models based on output of gam()in 'mgcv' package, applying the algorithm in this paper: Lai(2022) <doi:10.1093/jpe/rtac096>.

The full form is Garai and Mantri Biological Material Diversity. It is an R package designed for the calculation of biological diversity using sequence data. It simplifies the process by requiring only sample IDs and accession numbers. Whether you're analyzing genetic or microbial diversity, It provides efficient tools for diversity analysis. Serially one should go for the functions as presented here expand_accession_ranges(), get_sequence_information(), preprocess_for_alignment(), write_fasta(), SampleID_vs_NumSequences(), data_sampling(), alignment_info(), compute_average_similarity_matrix(), generate_heatmaps(), clustering_average_similarity(), clustering_percent_similarity(), bubble_plot_count(), bubble_plot_percentage(), tree_average_similarity(), tree_percent_similarity(). Till date there are total 15 functions. More details can be found in Faith (1992) <doi:10.1016/0006-3207(92)91201-3>.

Data sets and scripts used in the book 'Generalized Additive 
             Models: An Introduction with R', Wood (2006,2017) CRC.

Fits unimodal and multimodal gambin distributions to species-abundance distributions
    from ecological data, as in in Matthews et al. (2014) <DOI:10.1111/ecog.00861>. 
    'gambin' is short for 'gamma-binomial'. The main function is fit_abundances(), which estimates 
    the 'alpha' parameter(s) of the gambin distribution using maximum likelihood. Functions are 
    also provided to generate the gambin distribution and for calculating likelihood statistics.