Package: kde1d 1.0.6

kde1d: Univariate Kernel Density Estimation

Provides an efficient implementation of univariate local polynomial kernel density estimators that can handle bounded and discrete data. See Geenens (2014) <arxiv:1303.4121>, Geenens and Wang (2018) <arxiv:1602.04862>, Nagler (2018a) <arxiv:1704.07457>, Nagler (2018b) <arxiv:1705.05431>.

Authors:Thomas Nagler [aut, cre], Thibault Vatter [aut]

kde1d_1.0.6.tar.gz
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kde1d.pdf |kde1d.html
kde1d/json (API)
NEWS

# Install 'kde1d' in R:
install.packages('kde1d', repos = c('https://tnagler.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/tnagler/kde1d/issues

Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

6.52 score 13 stars 15 packages 57 scripts 853 downloads 6 exports 5 dependencies

Last updated 8 months agofrom:7e7bb7f84b. Checks:OK: 2 NOTE: 3 WARNING: 4. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 11 2024
R-4.5-win-x86_64NOTEOct 11 2024
R-4.5-linux-x86_64NOTEOct 11 2024
R-4.4-win-x86_64NOTEOct 11 2024
R-4.4-mac-x86_64WARNINGOct 11 2024
R-4.4-mac-aarch64WARNINGOct 11 2024
R-4.3-win-x86_64OKOct 11 2024
R-4.3-mac-x86_64WARNINGOct 11 2024
R-4.3-mac-aarch64WARNINGOct 11 2024

Exports:dkde1dequi_jitterkde1dpkde1dqkde1drkde1d

Dependencies:BHrandtoolboxRcppRcppEigenrngWELL