Perform large scale genomic data retrieval and functional annotation retrieval. This package aims to provide users with a standardized
                way to automate genome, proteome, 'RNA', coding sequence ('CDS'), 'GFF', and metagenome
                retrieval from 'NCBI RefSeq', 'NCBI Genbank', 'ENSEMBL', 
                and 'UniProt' databases. Furthermore, an interface to the 'BioMart' database
                (Smedley et al. (2009) <doi:10.1186/1471-2164-10-22>) allows users to retrieve
                functional annotation for genomic loci. In addition, users can download entire databases such
                as 'NCBI RefSeq' (Pruitt et al. (2007) <doi:10.1093/nar/gkl842>), 'NCBI nr',
                'NCBI nt', 'NCBI Genbank' (Benson et al. (2013) <doi:10.1093/nar/gks1195>), etc. with only one command.

Contains functions for estimating above-ground biomass/carbon and its uncertainty in tropical forests. These functions allow to (1) retrieve and correct taxonomy, (2) estimate wood density and its uncertainty, (3) build height-diameter models, (4) manage tree and plot coordinates, (5) estimate above-ground biomass/carbon at stand level with associated uncertainty. To cite ‘BIOMASS’, please use citation(‘BIOMASS’). For more information, see Réjou-Méchain et al. (2017) <doi:10.1111/2041-210X.12753>.

A system of functions and datasets to carry out quantitative analyses in the biological  
    sciences. The package facilitates data management, exploratory analyses, and model assessment. 
    Although it currently focuses on forest ecology, silviculture and decision-making, most of
    the package functions are applicable across several disciplines, including economics,
    environmental science, and healthcare.

Provides functions to aid in the design and analysis of
    agronomic and agricultural experiments through easy access to
    documentation and helper functions, especially for users who are
    learning these concepts. While not required for most functionality,
    this package enhances the `asreml` package which provides a 
    computationally efficient algorithm for fitting mixed models 
    using Residual Maximum Likelihood. It is a commercial package 
    that can be purchased as 'ASReml-R' from 'VSNi' 
    <https://vsni.co.uk/>, who will supply a zip file for local 
    installation/updating (see <https://asreml.kb.vsni.co.uk/>).