Package: fdaMocca 0.1-1

Natalya Pya Arnqvist

fdaMocca: Model-Based Clustering for Functional Data with Covariates

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.

Authors:Natalya Pya Arnqvist[aut, cre], Per Arnqvist [aut, cre], Sara Sjöstedt de Luna [aut]

fdaMocca_0.1-1.tar.gz
fdaMocca_0.1-1.tar.gz(r-4.5-noble)fdaMocca_0.1-1.tar.gz(r-4.4-noble)
fdaMocca_0.1-1.tgz(r-4.4-emscripten)fdaMocca_0.1-1.tgz(r-4.3-emscripten)
fdaMocca.pdf |fdaMocca.html
fdaMocca/json (API)

# Install 'fdaMocca' in R:
install.packages('fdaMocca', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 3 scripts 149 downloads 8 exports 52 dependencies

Last updated 2 years agofrom:bea75947b7. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 28 2024
R-4.5-linuxOKNov 28 2024

Exports:criteria.moccaestimate.moccalogLik.moccamoccaplot.moccaprint.moccaprint.summary.moccasummary.mocca

Dependencies:ashbitopscliclustercodetoolscolorspacedeSolvedoParallelfansifarverfdafdsFNNforeachggplot2gluegtablehdrcdeisobanditeratorskernlabKernSmoothkslabelinglatticelifecyclelocfitmagrittrMASSMatrixmclustmgcvmulticoolmunsellmvtnormnlmepcaPPpillarpkgconfigpracmaR6rainbowRColorBrewerRcppRCurlrlangscalestibbleutf8vctrsviridisLitewithr