Seamlessly build and manipulate graph structures, leveraging
    its high-performance methods for filtering, joining, and mutating
    data. Ensures that mutations and changes to the graph are performed in
    place, streamlining your workflow for optimal productivity.

Implements orbit counting using a fast combinatorial approach.
	Counts orbits of nodes and edges from edge matrix or data frame, or a
	graph object from the graph package.

Allows users to download and analyze official data on Brazil's federal budget through the 'SPARQL' endpoint
 provided by the Integrated Budget and Planning System ('SIOP'). This package enables access to detailed information on budget
 allocations and expenditures of the federal government, making it easier to analyze and visualize these data. Technical
 information on the Brazilian federal budget is available (Portuguese only) at <https://www1.siop.planejamento.gov.br/mto/>.
 The 'SIOP' endpoint is available at <https://www1.siop.planejamento.gov.br/sparql/>.

Provides functions to retrieve public data from ORCID (Open 
    Researcher and Contributor ID) records via the ORCID public API. 
    Fetches employment history, education, works (publications, datasets, 
    preprints), funding, peer review activities, and other public information.
    Returns data as structured data.table objects for easy analysis and 
    manipulation. Replaces the discontinued 'rorcid' package with a modern, 
    CRAN-compliant implementation.

Functions to perform subspace clustering and classification.

Provides clustering of genes with similar 
  dose response (or time course) profiles. It implements the method 
  described by Lin et al. (2012).

I tend to repeat the same code chunks over and over again. At
    first, this was fine for me and I paid little attention to such redundancies.
    A little later, when I got tired of manually replacing Linux filepaths with
    the referring Windows versions, and vice versa, I started to stuff some very
    frequently used work-steps into functions and, even later, into a proper R
    package. And that's what this package is - a hodgepodge of various R functions
    meant to simplify (my) everyday-life coding work without, at the same time,
    being devoted to a particular scope of application.