Paket: r-cran-qgam (1.3.4-1) [debports]

[ Quellcode:  ]

Smooth Additive Quantile Regression Models

Smooth additive quantile regression models, fitted using the methods of Fasiolo et al. (2020) <doi:10.1080/01621459.2020.1725521>. See Fasiolo at al. (2021) <doi:10.18637/jss.v100.i09> for an introduction to the package. Differently from 'quantreg', the smoothing parameters are estimated automatically by marginal loss minimization, while the regression coefficients are estimated using either PIRLS or Newton algorithm. The learning rate is determined so that the Bayesian credible intervals of the estimated effects have approximately the correct coverage. The main function is qgam() which is similar to gam() in 'mgcv', but fits non-parametric quantile regression models.

Andere Pakete mit Bezug zu r-cran-qgam

• dep: r-api-4.0

  virtuelles Paket, bereitgestellt durch r-base-core

• dep: r-cran-doparallel

  GNU R foreach parallel adaptor for the parallel package

• dep: r-cran-mgcv (>= 1.8-28)

  »GNU R«-Paket für Multiple-Glättungsparameter-Schätzung

• dep: r-cran-plyr

  tools for splitting, applying and combining data

• dep: r-cran-shiny

  GNU R web application framework

• rec: r-cran-testthat

  GNU R testsuite

• sug: r-cran-knitr

  GNU R package for dynamic report generation using Literate Programming

• sug: r-cran-mass

  GNU-R-Paket für MASS von Venables und Ripley

• sug: r-cran-rhpcblasctl

  control the number of threads on 'BLAS' in GNU R

• sug: r-cran-rmarkdown

  Konvertierung von R-Markdown-Dokumenten in verschiedene Formate

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Architektur	Paketgröße	Größe (installiert)	Dateien
alpha (inoffizielle Portierung)	3.874,5 kB	6.068,0 kB	[Liste der Dateien]