Precision agriculture spatial data
 depuration and homogeneous zones (management zone) delineation.
 The package includes functions that performs protocols for data cleaning
 management zone delineation and zone comparison; protocols are described in 
 Paccioretti et al., (2020) <doi:10.1016/j.compag.2020.105556>.

Implements partition-assisted clustering and multiple alignments of networks. It 1) utilizes partition-assisted clustering to find robust and accurate clusters and 2) discovers coherent relationships of clusters across multiple samples. It is particularly useful for analyzing single-cell data set. Please see Li et al. (2017) <doi:10.1371/journal.pcbi.1005875> for detail method description.

Functions to easily convert data to binary formats other programs/machines can understand.

It provides utility functions for investigating changes within R
    packages. The pkgInfo() function extracts package information such as
    exported and non-exported functions as well as their arguments. The
    pkgDiff() function compares this information for two versions of a package
    and creates a diff file viewable in a browser.

Search for R packages on CRAN directly from the R console, based on the packages' titles, short and long descriptions, or other fields. Combine multiple keywords with logical operators ('and', 'or'), view detailed information on any package and keep track of the latest package contributions to CRAN. If you don't want to search from the R console, use the comfortable R Studio add-in.

Provides essential checklists for R package developers, whether
    you're creating your first package or beginning a new project. This tool
    guides you through each step of the development process, including specific
    considerations for submitting your package to the Comprehensive R Archive
    Network (CRAN). Simplify your workflow and ensure adherence to best
    practices with 'packagepal'.

Helper functions for package creation, building and
    maintenance. Designed to work with a build system such as 'GNU make' or
    package 'fakemake' to help you to conditionally work through the stages of
    package development (such as spell checking, linting, testing, before
    building and checking a package).