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struct

Statistics in R Using Class-based Templates

Bioconductor version: 3.24 · Package version: 1.25.0

Defines and includes a set of class-based templates for developing and implementing data processing and analysis workflows, with a strong emphasis on statistics and machine learning. The templates can be used and where needed extended to 'wrap' tools and methods from other packages into a common standardised structure to allow for effective and fast integration. Model objects can be combined into sequences, and sequences nested in iterators using overloaded operators to simplify and improve readability of the code. Ontology lookup has been integrated and implemented to provide standardised definitions for methods, inputs and outputs wrapped using the class-based templates.

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("struct")

Details

MaintainerGavin Rhys Lloyd <g.r.lloyd@bham.ac.uk>
AuthorGavin Rhys Lloyd [aut, cre], Ralf Johannes Maria Weber [aut]
LicenseGPL-3
Downloads rank558
Source branchdevel
biocViewsSoftware, WorkflowStep

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packagestruct_1.25.0.tar.gz
Windows binary (x86_64)struct_1.25.0.zip
macOS binary (arm64)struct_1.25.0.tgz
macOS binary (x86_64)struct_1.25.0.tgz
Dependencies

Depends: R (>= 4.0)

Imports: methods, datasets, graphics, stats, utils, knitr, SummarizedExperiment, S4Vectors, httr2, jsonlite

Suggests: testthat, rstudioapi, rmarkdown, covr, BiocStyle, openxlsx, ggplot2, magick

Reverse dependencies

Depends On Me (2): MetMashR, structToolbox

Imports Me (1): metabolomicsWorkbenchR