@@ -14,10 +14,19 @@ Authors@R: c(

            role=c("aut"),

            email="[email protected]")

            )

-Description: Extends the class templates provided by the struct package to 

-    provide PCA, PLS models with cross-validation, permutation testing etc. Also 

-    includes a suite of univariate tests and data processing models for building

-    complete workflows.

+Description: An extensive set of data (pre-)processing and analysis methods and 

+    tools for metabolomics and other omics, with a strong emphasis on statistics and 

+    machine learning. This toolbox allows the user to build extensive and 

+    standardised workflows for data analysis. The methods and tools have been 

+    implemented using class-based templates provided by the struct (Statistics 

+    in R Using Class-based Templates) package. The toolbox includes pre-processing 

+    methods (e.g. signal drift and batch correction, normalisation, missing value 

+    imputation and scaling), univariate (e.g. ttest, various forms of ANOVA, 

+    Kruskal–Wallis test and more) and multivariate statistical methods (e.g. PCA and

+    PLS, including cross-validation and permutation testing) as well as machine 

+    learning methods (e.g. Support Vector Machines). The 

+    STATistics Ontology (STATO) has been integrated and implemented to provide 

+    standardised definitions for the different methods, inputs and outputs.

 License: GPL-3

 Encoding: UTF-8

 LazyData: true