Arbeitsgruppe Biostatistik





  • pffr(): additive regression of functional measurements with functional and/or scalar covariates, Teil des R-Packages refund
  • FDboost: regression models for functional data, i.e., scalar-on-function, function-on-scalar and function-on-function regression models, fitted by a component-wise gradient boosting algorithm. R-Package FDboost
  • funData: An S4 Class for Functional Data, provides S4 classes for univariate and multivariate functional data, covering densely or sparsely observed functional data as well as images. R-Package funData
  • MFPCA: Multivariate Functional Principal Component Analysis for Data Observed on Different Dimensional, e.g. functions and images. R-Package MFPCA
  • cAIC4: Conditional Akaike information criterion for lme4. R-Package cAIC4
  • sparseFLMM: Functional linear mixed models for irregularly or sparsely sampled data using functional principal component analysis. R-Package sparseFLMM
  • denseFLMM: Functional Linear Mixed Models for Densely Sampled Data. R-Package denseFLMM