Balík: r-cran-brglm2 (0.9.2+dfsg-1 a iné)

[ Zdroj: r-cran-brglm2  ]

GNU R bias reduction in generalized linear models

Estimation and inference from generalized linear models based on various methods for bias reduction and maximum penalized likelihood with powers of the Jeffreys prior as penalty. The 'brglmFit' fitting method can achieve reduction of estimation bias by solving either the mean bias- reducing adjusted score equations in Firth (1993) <doi:10.1093/biomet/80.1.27> and Kosmidis and Firth (2009) <doi:10.1093/biomet/asp055>, or the median bias-reduction adjusted score equations in Kenne et al. (2017) <doi:10.1093/biomet/asx046>, or through the direct subtraction of an estimate of the bias of the maximum likelihood estimator from the maximum likelihood estimates as in Cordeiro and McCullagh (1991) <https://www.jstor.org/stable/2345592>. See Kosmidis et al (2020) <doi:10.1007/s11222-019-09860-6> for more details. Estimation in all cases takes place via a quasi Fisher scoring algorithm, and S3 methods for the construction of of confidence intervals for the reduced-bias estimates are provided. In the special case of generalized linear models for binomial and multinomial responses (both ordinal and nominal), the adjusted score approaches to mean and media bias reduction have been found to return estimates with improved frequentist properties, that are also always finite, even in cases where the maximum likelihood estimates are infinite (e.g. complete and quasi- complete separation; see Kosmidis and Firth, 2020 <doi:10.1093/biomet/asaa052>, for a proof for mean bias reduction in logistic regression).

Ostatné balíky súvisiace s balíkom r-cran-brglm2

• dep: r-api-4.0

  virtuálny balík poskytovaný balíkom r-base-core

• dep: r-cran-enrichwith

  GNU R methods to enrich R Objects with extra components

• dep: r-cran-mass

  balík MASS pre GNU R od Venable a Ripley

• dep: r-cran-matrix

  balík tried GNU R pre husté a riedke matice

• dep: r-cran-nnet

  balík GNU R pre dopredné neurónové siete

• dep: r-cran-numderiv

  GNU R package for accurate numerical derivatives

• sug: r-cran-brglm

  GNU R package for bias reduction in binomial-response GLMs

• sug: r-cran-covr

  test coverage for GNU R packages

• sug: r-cran-knitr

  balík GNU R na dynamickú tvorbu zostáv pomocou Literate Programming

• sug: r-cran-rmarkdown

  convert R markdown documents into a variety of formats

• sug: r-cran-tinytest

  Lightweight and Feature Complete Unit Testing Framework

• sug: r-cran-vgam

  GNU R package for estimating vector generalized additive models

Stiahnuť r-cran-brglm2

Stiahnuť pre všetky dostupné architektúry

Architektúra	Verzia	Veľkosť balíka	Nainštalovaná veľkosť	Súbory
amd64	0.9.2+dfsg-1	339.5 kB	586.0 kB	[zoznam súborov]
arm64	0.9.2+dfsg-1+b1	346.7 kB	644.0 kB	[zoznam súborov]
armel	0.9.2+dfsg-1	340.6 kB	582.0 kB	[zoznam súborov]
armhf	0.9.2+dfsg-1	339.1 kB	578.0 kB	[zoznam súborov]
i386	0.9.2+dfsg-1	339.7 kB	586.0 kB	[zoznam súborov]
mips64el	0.9.2+dfsg-1	339.6 kB	639.0 kB	[zoznam súborov]
ppc64el	0.9.2+dfsg-1	339.8 kB	638.0 kB	[zoznam súborov]
riscv64	0.9.2+dfsg-1+b1	340.1 kB	579.0 kB	[zoznam súborov]
s390x	0.9.2+dfsg-1	339.4 kB	578.0 kB	[zoznam súborov]