[ 原始碼： r-cran-loo ]
套件：r-cran-loo（2.5.1-1）
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.
其他與 r-cran-loo 有關的套件
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- dep: r-api-4.0
- 本虛擬套件由這些套件填實： r-base-core
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- dep: r-base-core (>= 4.2.0-1)
- GNU R core of statistical computation and graphics system
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- dep: r-cran-checkmate
- GNU R fast and versatile argument checks
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- dep: r-cran-matrixstats (>= 0.52)
- GNU R methods that apply to rows and columns of a matrix
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- rec: r-cran-testthat (>= 2.1.0)
- GNU R testsuite
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- sug: r-cran-bayesplot (>= 1.7.0)
- GNU R plotting for bayesian models
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- sug: r-cran-brms (>= 2.10.0)
- GNU R Bayesian regression models using 'Stan'
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- sug: r-cran-ggplot2
- implementation of the Grammar of Graphics
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- sug: r-cran-knitr
- GNU R package for dynamic report generation using Literate Programming
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- sug: r-cran-rmarkdown
- convert R markdown documents into a variety of formats
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- sug: r-cran-rstan
- GNU R interface to Stan
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- sug: r-cran-rstanarm (>= 2.19.0)
- GNU R bayesian applied regression modeling via stan
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- sug: r-cran-rstantools
- tools for developing GNU R packages interfacing with 'Stan'
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- sug: r-cran-spdep
- GNU R spatial dependence: weighting schemes, statistics and models