Title: Procedures for Ecological Assessment of Surface Waters
Author: Nele Schuwirth <nele.schuwirth@eawag.ch> and Peter Reichert <peter.reichert@eawag.ch>
Description: Functions for evaluating and visualizing
ecological assessment procedures for surface waters
containing physical, chemical and biological assessments

with contributions by Simone Langhans and Christian Michel

Depends: R (>= 3.5.0), utility, rivernet, jpeg

Depends: R (>= 3.5.0), utility, rivernet, jpeg, fs

Title: Multiple Change Point Analysis of Multivariate Data
Author: Nicholas A. James and David S. Matteson
Maintainer: Nicholas A. James <nj89@cornell.edu>
Description: This package performs hierarchical change point analysis
through the use of the energy statistic. Both agglomerative and
divisive procedures return the set of change points found.  As

Title: Nonparametric Multiple Change Point Analysis of Multivariate
through the use of U-statistics. Both agglomerative and
divisive procedures return the set of change points estimates,

through the use of U-statistics. Both agglomerative
and divisive procedures return the set of change points estimates,

Title: Nonparametric Multiple Change-Point Analysis of Multivariate
Description: Implements hierarchical procedures to find multiple change-points
through the use of U-statistics. The procedures do not make any
distributional assumptions other than the existence of certain
absolute moments. Both agglomerative and divisive procedures are
included. These methods return the set of estimated change-points

Title: Non-Parametric Multiple Change-Point Analysis of Multivariate
Description: Implements various procedures for finding
multiple change-points through the use of U-statistics.
The procedures do not make any distributional assumptions
other than the existence of certain absolute moments. Hierarchical
and exact search methods are included. All methods return the
set of estimated change-points as well as other summary information.

Author: Nicholas A. James, Wenyu Zhang and David S. Matteson
multiple change-points. Two methods make use of dynamic
programming and probabilistic pruning, with no distributional
assumptions other than the existence of certain absolute
moments in one method. Hierarchical and exact search methods
are included. All methods return the set of estimated change-
points as well as other summary information.
Suggests: mvtnorm, MASS, combinat, R.rsp