| Name : R-fdaMocca
| |
| Version : 0.1.1
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp155.5.1
| Date : 2024-01-15 15:26:06
|
| Group : Development/Libraries/Other
| Source RPM : R-fdaMocca-0.1.1-lp155.5.1.src.rpm
|
| Size : 1.37 MB
| |
| Packager : https://www_suse_com/
| |
| Summary : Model-Based Clustering for Functional Data with Covariates
|
Description :
Routines for model-based functional cluster analysis for functional
data with optional covariates. The idea is to cluster functional
subjects (often called functional objects) into homogenous groups by
using spline smoothers (for functional data) together with scalar
covariates. The spline coefficients and the covariates are modelled as
a multivariate Gaussian mixture model, where the number of mixtures
corresponds to the number of clusters. The parameters of the model are
estimated by maximizing the observed mixture likelihood via an EM
algorithm (Arnqvist and Sjöstedt de Luna, 2019) < arXiv:1904.10265>. The
clustering method is used to analyze annual lake sediment from lake
Kassjön (Northern Sweden) which cover more than 6400 years and can be
seen as historical records of weather and climate.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/15.5/x86_64 |
