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| -Package: struct |
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| -Type: Package |
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| -Title: Statistics in R Using Class-based Templates |
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| -Version: 1.1.1 |
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| -Authors@R: c( |
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| - person( |
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| - c("Gavin","Rhys"), |
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| - "Lloyd", |
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| - role=c("aut","cre"), |
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| - |
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| - person( |
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| - c("Ralf","Johannes", "Maria"), |
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| - "Weber", |
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| - role=c("aut"), |
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| - |
16 |
| - ) |
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| -Description: Defines and includes a set of class-based templates for developing |
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| - and implementing data processing and analysis workflows, with a strong |
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| - emphasis on statistics and machine learning. The templates can be used and |
20 |
| - where needed extended to 'wrap' tools and methods from other packages into a |
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| - common standardised structure to allow for effective and fast integration. |
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| - Model objects can be combined into sequences, and sequences nested in |
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| - iterators using overloaded operators to simplify and improve readability of |
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| - the code. STATistics Ontology (STATO) has been integrated and implemented |
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| - to provide standardised definitions for methods, inputs and outputs wrapped |
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| - using the class-based templates. |
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| -License: GPL-3 |
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| -Encoding: UTF-8 |
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| -LazyData: true |
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| -Collate: |
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| - 'generics.R' |
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| - 'struct_class.R' |
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| - 'parameter_class.R' |
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| - 'chart_class.R' |
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| - 'stato_class.R' |
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| - 'DatasetExperiment_class.R' |
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| - 'entity_class.R' |
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| - 'entity_stato_class.R' |
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| - 'enum_class.R' |
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| - 'enum_stato_class.R' |
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| - 'output_class.R' |
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| - 'model_class.R' |
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| - 'example_objects.R' |
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| - 'model_list_class.R' |
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| - 'metric_class.R' |
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| - 'iterator_class.R' |
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| - 'optimiser_class.R' |
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| - 'preprocess_class.R' |
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| - 'resampler_class.R' |
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| - 'struct.R' |
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| - 'struct_templates.R' |
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| -RoxygenNote: 7.1.1 |
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| -Depends: R (>= 4.0) |
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| -Suggests: |
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| - testthat, |
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| - rstudioapi, |
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| - rmarkdown, |
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| - covr, |
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| - BiocStyle, |
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| - openxlsx, |
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| - ggplot2, |
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| - magick |
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| -VignetteBuilder: knitr |
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| -Imports: methods, ontologyIndex, |
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| - datasets, graphics, stats, utils, knitr, |
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| - SummarizedExperiment, S4Vectors |
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| -biocViews: WorkflowStep |
| 1 | +Package: struct |
| 2 | +Type: Package |
| 3 | +Title: Statistics in R Using Class-based Templates |
| 4 | +Version: 1.1.2 |
| 5 | +Authors@R: c( |
| 6 | + person( |
| 7 | + c("Gavin","Rhys"), |
| 8 | + "Lloyd", |
| 9 | + role=c("aut","cre"), |
| 10 | + |
| 11 | + person( |
| 12 | + c("Ralf","Johannes", "Maria"), |
| 13 | + "Weber", |
| 14 | + role=c("aut"), |
| 15 | + |
| 16 | + ) |
| 17 | +Description: Defines and includes a set of class-based templates for developing |
| 18 | + and implementing data processing and analysis workflows, with a strong |
| 19 | + emphasis on statistics and machine learning. The templates can be used and |
| 20 | + where needed extended to 'wrap' tools and methods from other packages into a |
| 21 | + common standardised structure to allow for effective and fast integration. |
| 22 | + Model objects can be combined into sequences, and sequences nested in |
| 23 | + iterators using overloaded operators to simplify and improve readability of |
| 24 | + the code. STATistics Ontology (STATO) has been integrated and implemented |
| 25 | + to provide standardised definitions for methods, inputs and outputs wrapped |
| 26 | + using the class-based templates. |
| 27 | +License: GPL-3 |
| 28 | +Encoding: UTF-8 |
| 29 | +LazyData: true |
| 30 | +Collate: |
| 31 | + 'generics.R' |
| 32 | + 'struct_class.R' |
| 33 | + 'parameter_class.R' |
| 34 | + 'chart_class.R' |
| 35 | + 'stato_class.R' |
| 36 | + 'DatasetExperiment_class.R' |
| 37 | + 'entity_class.R' |
| 38 | + 'entity_stato_class.R' |
| 39 | + 'enum_class.R' |
| 40 | + 'enum_stato_class.R' |
| 41 | + 'output_class.R' |
| 42 | + 'model_class.R' |
| 43 | + 'example_objects.R' |
| 44 | + 'model_list_class.R' |
| 45 | + 'metric_class.R' |
| 46 | + 'iterator_class.R' |
| 47 | + 'optimiser_class.R' |
| 48 | + 'preprocess_class.R' |
| 49 | + 'resampler_class.R' |
| 50 | + 'struct.R' |
| 51 | + 'struct_templates.R' |
| 52 | +RoxygenNote: 7.1.1 |
| 53 | +Depends: R (>= 4.0) |
| 54 | +Suggests: |
| 55 | + testthat, |
| 56 | + rstudioapi, |
| 57 | + rmarkdown, |
| 58 | + covr, |
| 59 | + BiocStyle, |
| 60 | + openxlsx, |
| 61 | + ggplot2, |
| 62 | + magick |
| 63 | +VignetteBuilder: knitr |
| 64 | +Imports: methods, ontologyIndex, |
| 65 | + datasets, graphics, stats, utils, knitr, |
| 66 | + SummarizedExperiment, S4Vectors |
| 67 | +biocViews: WorkflowStep |
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