Package: hdrcde 3.4

hdrcde: Highest Density Regions and Conditional Density Estimation

Computation of highest density regions in one and two dimensions, kernel estimation of univariate density functions conditional on one covariate,and multimodal regression.

Authors:Rob Hyndman [aut, cre, cph], Jochen Einbeck [aut], Matthew Wand [aut], Simon Carrignon [ctb], Fan Cheng [ctb]

hdrcde_3.4.tar.gz
hdrcde_3.4.zip(r-4.5)hdrcde_3.4.zip(r-4.4)hdrcde_3.4.zip(r-4.3)
hdrcde_3.4.tgz(r-4.4-x86_64)hdrcde_3.4.tgz(r-4.4-arm64)hdrcde_3.4.tgz(r-4.3-x86_64)hdrcde_3.4.tgz(r-4.3-arm64)
hdrcde_3.4.tar.gz(r-4.5-noble)hdrcde_3.4.tar.gz(r-4.4-noble)
hdrcde_3.4.tgz(r-4.4-emscripten)hdrcde_3.4.tgz(r-4.3-emscripten)
hdrcde.pdf |hdrcde.html
hdrcde/json (API)
NEWS

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

Peer review:

Bug tracker:https://github.com/robjhyndman/hdrcde/issues

Datasets:
  • lane2 - Speed-Flow data for Californian Freeway
  • lane3 - Speed-Flow data for Californian Freeway
  • maxtemp - Daily maximum temperatures in Melbourne, Australia

On CRAN:

10.34 score 23 stars 156 packages 123 scripts 14k downloads 8 mentions 14 exports 39 dependencies

Last updated 1 years agofrom:453ce3634a. Checks:OK: 6 NOTE: 3. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 24 2024
R-4.5-win-x86_64NOTEOct 24 2024
R-4.5-linux-x86_64OKOct 24 2024
R-4.4-win-x86_64NOTEOct 24 2024
R-4.4-mac-x86_64OKOct 24 2024
R-4.4-mac-aarch64OKOct 24 2024
R-4.3-win-x86_64NOTEOct 24 2024
R-4.3-mac-x86_64OKOct 24 2024
R-4.3-mac-aarch64OKOct 24 2024

Exports:BoxCoxcdecde.bandwidthshdrhdr.2dhdr.boxplothdr.boxplot.2dhdr.cdehdr.denhdrbwhdrconfhdrscatterplotmodalregplot.hdr2d

Dependencies:ashclicolorspacefansifarverFNNggplot2gluegtableisobandkernlabKernSmoothkslabelinglatticelifecyclelocfitmagrittrMASSMatrixmclustmgcvmulticoolmunsellmvtnormnlmepillarpkgconfigpracmaR6RColorBrewerRcpprlangscalestibbleutf8vctrsviridisLitewithr