robCompositions: Robust Estimation for Compositional Data
The package includes methods for imputation of
compositional data including robust methods, methods to impute
rounded zeros, (robust) outlier detection for compositional
data, (robust) principal component analysis for compositional
data, (robust) factor analysis for compositional data, (robust)
discriminant analysis for compositional data (Fisher rule),
robust regression with compositional predictors and (robust)
Anderson-Darling normality tests for compositional data as well
as popular log-ratio transformations (alr, clr, ilr, and their
inverse transformations). In addition, visualisation and
diagnostic tools are implemented as well as high and low-level
plot functions for the ternary diagram.
Downloads:
Reverse dependencies: