Package: nonsmooth 1.0.0

nonsmooth: Nonparametric Methods for Smoothing Nonsmooth Data

Nonparametric methods for smoothing regression function data with change-points, utilizing range kernels for iterative and anisotropic smoothing methods. For further details, see the paper by John R.J. Thompson (2024) <doi:10.1080/02664763.2024.2352759>.

Authors:John R.J. Thompson [aut, cre]

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nonsmooth/json (API)

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

Peer review:

Bug tracker:https://github.com/jrjthompson/r-package-nonsmooth/issues

Datasets:
  • fireData - Wax paper fire smouldering experiment conducted in a fume hood

On CRAN:

change-pointchange-point-modelingchangepointkernelkernel-methodsnonparametric-regressionsmoothingsmoothing-methods

2.48 score 107 downloads 3 exports 22 dependencies

Last updated 4 months agofrom:523fa766f9. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 01 2024
R-4.5-winOKNov 01 2024
R-4.5-linuxOKNov 01 2024
R-4.4-winOKNov 01 2024
R-4.4-macOKNov 01 2024
R-4.3-winOKNov 01 2024
R-4.3-macOKNov 01 2024

Exports:alcchangepoint.sim1Dchangepoint.sim2D

Dependencies:bootclicubaturegluelatticelifecyclemagrittrMASSMatrixMatrixModelsnpplyrquadprogquantregRcppreshape2rlangSparseMstringistringrsurvivalvctrs