The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
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) <doi:10.48550/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.
| Version: | 0.1-1 |
| Depends: | R (≥ 3.6.0) |
| Imports: | stats, graphics, Matrix, parallel, foreach, doParallel, mvtnorm, fda, grDevices |
| Published: | 2022-07-21 |
| DOI: | 10.32614/CRAN.package.fdaMocca |
| Author: | Natalya Pya Arnqvist[aut, cre], Per Arnqvist [aut, cre], Sara Sjöstedt de Luna [aut] |
| Maintainer: | Natalya Pya Arnqvist <nat.pya at gmail.com> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| Materials: | ChangeLog |
| CRAN checks: | fdaMocca results |
| Reference manual: | fdaMocca.pdf |
| Package source: | fdaMocca_0.1-1.tar.gz |
| Windows binaries: | r-devel: fdaMocca_0.1-1.zip, r-release: fdaMocca_0.1-1.zip, r-oldrel: fdaMocca_0.1-1.zip |
| macOS binaries: | r-release (arm64): fdaMocca_0.1-1.tgz, r-oldrel (arm64): fdaMocca_0.1-1.tgz, r-release (x86_64): fdaMocca_0.1-1.tgz, r-oldrel (x86_64): fdaMocca_0.1-1.tgz |
| Old sources: | fdaMocca archive |
Please use the canonical form https://CRAN.R-project.org/package=fdaMocca to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.