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update package description
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DESCRIPTION

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role=c("aut"),
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Description: Extends the class templates provided by the struct package to
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provide PCA, PLS models with cross-validation, permutation testing etc. Also
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includes a suite of univariate tests and data processing models for building
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complete workflows.
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Description: An extensive set of data (pre-)processing and analysis methods and
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tools for metabolomics and other omics, with a strong emphasis on statistics and
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machine learning. This toolbox allows the user to build extensive and
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standardised workflows for data analysis. The methods and tools have been
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implemented using class-based templates provided by the struct (Statistics
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in R Using Class-based Templates) package. The toolbox includes pre-processing
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methods (e.g. signal drift and batch correction, normalisation, missing value
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imputation and scaling), univariate (e.g. ttest, various forms of ANOVA,
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Kruskal–Wallis test and more) and multivariate statistical methods (e.g. PCA and
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PLS, including cross-validation and permutation testing) as well as machine
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learning methods (e.g. Support Vector Machines). The
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STATistics Ontology (STATO) has been integrated and implemented to provide
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standardised definitions for the different methods, inputs and outputs.
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License: GPL-3
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Encoding: UTF-8
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LazyData: true

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