Пакет: r-cran-loo (2.5.1-1)

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Начална страница [cran.r-project.org]

Подобни пакети:

GNU R leave-one-out cross-validation and WAIC for Bayesian models

Efficient approximate leave-one-out cross-validation (LOO) for Bayesian models fit using Markov chain Monte Carlo. The approximation uses Pareto smoothed importance sampling (PSIS), a new procedure for regularizing importance weights. As a byproduct of the calculations, it is possible as well to obtain approximate standard errors for estimated predictive errors and for the comparison of predictive errors between models. The package also provides methods for using stacking and other model weighting techniques to average Bayesian predictive distributions.

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dep: r-api-4.0

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dep: r-base-core (>= 4.2.0-1)

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dep: r-cran-matrixstats (>= 0.52)

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rec: r-cran-testthat (>= 2.1.0)

GNU R testsuite

sug: r-cran-bayesplot (>= 1.7.0)

GNU R plotting for bayesian models
sug: r-cran-brms (>= 2.10.0)

GNU R Bayesian regression models using 'Stan'
sug: r-cran-ggplot2

implementation of the Grammar of Graphics
sug: r-cran-knitr

GNU R package for dynamic report generation using Literate Programming
sug: r-cran-rmarkdown

convert R markdown documents into a variety of formats
sug: r-cran-rstan

GNU R interface to Stan
sug: r-cran-rstanarm (>= 2.19.0)

GNU R bayesian applied regression modeling via stan
sug: r-cran-rstantools

tools for developing GNU R packages interfacing with 'Stan'
sug: r-cran-spdep

GNU R spatial dependence: weighting schemes, statistics and models

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Архитектура	Големина на пакета	Големина след инсталиране	Файлове
all	2 731,4 кБ	3 687,0 кБ	[списък на файловете]