Package: cfda 0.12.1
cfda: Categorical Functional Data Analysis
Package for the analysis of categorical functional data. The main purpose is to compute an encoding (real functional variable) for each state <doi:10.3390/math9233074>. It also provides functions to perform basic statistical analysis on categorical functional data.
Authors:
cfda_0.12.1.tar.gz
cfda_0.12.1.zip(r-4.5)cfda_0.12.1.zip(r-4.4)cfda_0.12.1.zip(r-4.3)
cfda_0.12.1.tgz(r-4.5-any)cfda_0.12.1.tgz(r-4.4-any)cfda_0.12.1.tgz(r-4.3-any)
cfda_0.12.1.tar.gz(r-4.5-noble)cfda_0.12.1.tar.gz(r-4.4-noble)
cfda_0.12.1.tgz(r-4.4-emscripten)cfda_0.12.1.tgz(r-4.3-emscripten)
cfda.pdf |cfda.html✨
cfda/json (API)
NEWS
# Install 'cfda' in R: |
install.packages('cfda', repos = c('https://modal-inria.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/modal-inria/cfda/issues
Pkgdown site:https://modal-inria.github.io
categorical-datafunctional-data-analysishacktoberfest
Last updated 1 months agofrom:1583317f35. Checks:8 OK. Indexed: yes.
Target | Result | Latest binary |
---|---|---|
Doc / Vignettes | OK | Feb 27 2025 |
R-4.5-win | OK | Feb 27 2025 |
R-4.5-mac | OK | Feb 27 2025 |
R-4.5-linux | OK | Feb 27 2025 |
R-4.4-win | OK | Feb 27 2025 |
R-4.4-mac | OK | Feb 27 2025 |
R-4.3-win | OK | Feb 27 2025 |
R-4.3-mac | OK | Feb 27 2025 |
Exports:compute_durationcompute_number_jumpscompute_optimal_encodingcompute_time_spentconvertToCfdcut_dataestimate_Markovestimate_ptgenerate_2Stategenerate_Markovget_encodingget_statematrixToCfdplotComponentplotDataplotEigenvaluesplotIndicatorsReconstructionreconstructIndicatorsremove_duplicated_statesstatetablesummary_cfd
Dependencies:ashbitopscliclustercolorspacecpp11deSolvediagramdplyrexpmfansifarverfdafdsFNNgenericsggplot2gluegtablehdrcdeisobandkernlabKernSmoothkslabelinglatticelifecyclelocfitmagrittrMASSMatrixmclustmgcvmsmmulticoolmunsellmvtnormnlmepbapplypcaPPpillarpkgconfigpracmapurrrR6rainbowRColorBrewerRcppRCurlrlangscalesshapestringistringrsurvivaltibbletidyrtidyselectutf8vctrsviridisLitewithr