DESCRIPTION

Package: struct
Type: Package
Title: Statistics in R Using Class-based Templates
Version: 1.23.2
Authors@R: c(
    person(
        c("Gavin","Rhys"),
          "Lloyd",
           role=c("aut","cre"),
           email="g.r.lloyd@bham.ac.uk"),
    person(
        c("Ralf","Johannes", "Maria"),
          "Weber",
           role=c("aut"),
           email="r.j.weber@bham.ac.uk")
           )
Description: 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.
License: GPL-3
Encoding: UTF-8
Collate:
    'generics.R'
    'ontology_term_class.R'
    'struct_class.R'
    'parameter_class.R'
    'chart_class.R'
    'DatasetExperiment_class.R'
    'entity_class.R'
    'enum_class.R'
    'output_class.R'
    'model_class.R'
    'example_objects.R'
    'model_list_class.R'
    'metric_class.R'
    'iterator_class.R'
    'optimiser_class.R'
    'preprocess_class.R'
    'resampler_class.R'
    'struct-package.R'
    'struct_templates.R'
    'zzz.R'
RoxygenNote: 7.3.3
Depends: R (>= 4.0)
Suggests: 
 testthat,
 rstudioapi,
 rmarkdown,
 covr,
 BiocStyle,
 openxlsx,
 ggplot2,
 magick
VignetteBuilder: knitr
Imports: methods,
    datasets, graphics, stats, utils, knitr, 
    SummarizedExperiment, S4Vectors, httr2, jsonlite
biocViews: WorkflowStep