Simplified JSON document database access and manipulation,
     providing a common API across supported 'NoSQL' databases 
     'Elasticsearch', 'CouchDB', 'MongoDB' as well as 
     'SQLite/JSON1', 'PostgreSQL', and 'DuckDB'.

Given any graph, the 'node2vec' algorithm can learn continuous feature representations for the nodes, which can then be used for various downstream machine learning tasks.The techniques are detailed in the paper "node2vec: Scalable Feature Learning for Networks" by Aditya Grover, Jure Leskovec(2016),available at <arXiv:1607.00653>.

Simulate DNA sequences for the node substitution model.  In
    the node substitution model, substitutions accumulate additionally
    during a speciation event, providing a potential mechanistic
    explanation for substitution rate variation. This package provides
    tools to simulate such a process, simulate a reference process with
    only substitutions along the branches, and provides tools to infer
    phylogenies from alignments. More information can be found in Janzen
    (2021) <doi:10.1093/sysbio/syab085>.

An implementation of the nodiv algorithm, see Borregaard, M.K., Rahbek, C., Fjeldsaa, J., Parra, J.L., Whittaker, R.J. & Graham, C.H. 2014. Node-based analysis of species distributions. Methods in Ecology and Evolution 5(11): 1225-1235. <DOI:10.1111/2041-210X.12283>. Package for phylogenetic analysis of species distributions. The main function goes through each node in the phylogeny, compares the distributions of the two descendant nodes, and compares the result to a null model. This highlights nodes where major distributional divergence have occurred. The distributional divergence for these nodes is mapped.

Provides a compact variation of the usual syntax of function
  declaration, in order to support tidyverse-style quasiquotation of a
  function's arguments and body.

The NOIA model, as described extensively in Alvarez-Castro & Carlborg (2007), is a framework facilitating the estimation of genetic effects and genotype-to-phenotype maps. This package provides the basic tools to perform linear and multilinear regressions from real populations (provided the phenotype and the genotype of every individuals), estimating the genetic effects from different reference points, the genotypic values, and the decomposition of genetic variances in a multi-locus, 2 alleles system. This package is presented in Le Rouzic & Alvarez-Castro (2008).