Package: asymmetry.measures 0.2
Dimitrios Bagkavos
asymmetry.measures: Asymmetry Measures for Probability Density Functions
Provides functions and examples for the weak and strong density asymmetry measures in the articles: "A measure of asymmetry", Patil, Patil and Bagkavos (2012) <doi:10.1007/s00362-011-0401-6> and "A measure of asymmetry based on a new necessary and sufficient condition for symmetry", Patil, Bagkavos and Wood (2014) <doi:10.1007/s13171-013-0034-z>. The measures provided here are useful for quantifying the asymmetry of the shape of a density of a random variable. The package facilitates implementation of the measures which are applicable in a variety of fields including e.g. probability theory, statistics and economics.
Authors:
asymmetry.measures_0.2.tar.gz
asymmetry.measures_0.2.tar.gz(r-4.5-noble)asymmetry.measures_0.2.tar.gz(r-4.4-noble)
asymmetry.measures_0.2.tgz(r-4.4-emscripten)asymmetry.measures_0.2.tgz(r-4.3-emscripten)
asymmetry.measures.pdf |asymmetry.measures.html✨
asymmetry.measures/json (API)
# Install 'asymmetry.measures' in R: |
install.packages('asymmetry.measures', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- GDP.Per.head.dist.1995 - Annual Gross Domestic Product (GDP) per head across 15 European Union (EU) countries
- GDP.Per.head.dist.2005 - Annual Gross Domestic Product (GDP) per head across 15 European Union (EU) countries
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 4 years agofrom:5a4800ce6a. Checks:OK: 1 NOTE: 1. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 14 2024 |
R-4.5-linux | NOTE | Dec 14 2024 |
Exports:d.sampleedfEpanechnikoveta.seta.s.exacteta.w.breveeta.w.breve.bceta.w.hateta.w.hat.bceta.w.tildeeta.w.tilde.bcIntEpanechnikovIntKdekdep.samplepdfsqpdfsqcdfpdfsqcdfstarpdfthirdq.sampler.sampleRho.pRho.p.exactRhostar.pRhostar.p.exactSimpsonInt
Dependencies:gamlss.distlatticeMASSMatrixMatrixModelsmnormtnumDerivquantregskewtsnSparseMsurvival