Paketti: r-cran-loo (2.0.0-2)

[ Source: r-cran-loo  ]

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.

Muut pakettiin r-cran-loo liittyvät paketit

• dep: r-api-3.5

  näennäispaketti, jonka toteuttaa r-base-core

• dep: r-base-core (>= 3.5.0-5)

  GNU R core of statistical computation and graphics system

• dep: r-cran-matrixstats (>= 0.52)

  GNU R methods that apply to rows and columns of a matrix

• sug: libgdal-dev

  Geospatial Data Abstraction Library - Development files

• sug: r-cran-bayesplot (>= 1.5.0)

  GNU R plotting for bayesian models

• 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-rstantools

  tools for developing GNU R packages interfacing with 'Stan'

• sug: r-cran-testthat

  GNU R testsuite

Imuroi r-cran-loo

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