Balík: r-cran-kernelheaping (2.3.0-1)

[ Zdroj: r-cran-kernelheaping  ]

GNU R kernel density estimation for heaped and rounded data

In self-reported or anonymised data the user often encounters heaped data, i.e. data which are rounded (to a possibly different degree of coarseness). While this is mostly a minor problem in parametric density estimation the bias can be very large for non-parametric methods such as kernel density estimation. This package implements a partly Bayesian algorithm treating the true unknown values as additional parameters and estimates the rounding parameters to give a corrected kernel density estimate. It supports various standard bandwidth selection methods. Varying rounding probabilities (depending on the true value) and asymmetric rounding is estimable as well: Gross, M. and Rendtel, U. (2016) (<doi:10.1093/jssam/smw011>). Additionally, bivariate non- parametric density estimation for rounded data, Gross, M. et al. (2016) (<doi:10.1111/rssa.12179>), as well as data aggregated on areas is supported.

Ostatné balíky súvisiace s balíkom r-cran-kernelheaping

• dep: r-api-4.0

  virtuálny balík poskytovaný balíkom r-base-core

• dep: r-base-core (>= 4.1.2-2)

  jadro GNU R na štatistické výpočty a grafický systém

• dep: r-cran-dplyr

  GNU R grammar of data manipulation

• dep: r-cran-fastmatch

  GNU R package for fast match replacement for repeated look-ups

• dep: r-cran-fitdistrplus

  support fit of parametric distribution

• dep: r-cran-gb2

  GNU R generalized beta distribution of the second kind

• dep: r-cran-ks

  GNU R kernel smoothing

• dep: r-cran-magrittr

  GNU R - operátor dopredná rúra

• dep: r-cran-mass

  balík MASS pre GNU R od Venable a Ripley

• dep: r-cran-mvtnorm

  balík GNU R na výpočet viacrozmerných normálnych a T rozdelení

• dep: r-cran-plyr

  nástroje na rozdeľovanie, aplikovanie a kombinovanie dát

• dep: r-cran-sp

  GNU R classes and methods for spatial data

• dep: r-cran-sparr

  GNU R spatial and spatiotemporal relative risk

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