loo/DESCRIPTION at master · stan-dev/loo · GitHub

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
Type: Package
Package: loo
Title: Efficient Leave-One-Out Cross-Validation and WAIC for Bayesian Models
Version: 2.9.0.9000
Date: 2025-12-22
Authors@R: c(
    person("Aki", "Vehtari", email = "Aki.Vehtari@aalto.fi", role = "aut"),
    person("Jonah", "Gabry", email = "jgabry@gmail.com", role = c("cre", "aut")),
    person("Måns", "Magnusson", role = "aut"),
    person("Yuling", "Yao", role = "aut"),
    person("Paul-Christian", "Bürkner", role = "aut"),
    person("Topi", "Paananen", role = "aut"),
    person("Andrew", "Gelman", role = "aut"),
    person("Ben", "Goodrich", role = "ctb"),
    person("Juho", "Piironen", role = "ctb"),
    person("Bruno", "Nicenboim", role = "ctb"),
    person("Leevi", "Lindgren", role = "ctb"),
    person("Visruth", "Srimath Kandali", role = "ctb")
  )
Maintainer: Jonah Gabry <jgabry@gmail.com>
Description: Efficient approximate leave-one-out cross-validation (LOO)
    for Bayesian models fit using Markov chain Monte Carlo, as described
    in Vehtari, Gelman, and Gabry (2017) <doi:10.1007/s11222-016-9696-4>.
    The approximation uses Pareto smoothed importance sampling (PSIS), a
    new procedure for regularizing importance weights.  As a byproduct of
    the calculations, we also 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.
License: GPL (>=3)
URL: https://mc-stan.org/loo/, https://discourse.mc-stan.org
BugReports: https://github.com/stan-dev/loo/issues
Depends:
    R (>= 3.1.2)
Imports:
    checkmate,
    matrixStats (>= 0.52),
    parallel,
    posterior (>= 1.5.0),
    stats
Suggests:
    bayesplot (>= 1.7.0),
    brms (>= 2.10.0),
    ggplot2,
    graphics,
    knitr,
    rmarkdown,
    rstan,
    rstanarm (>= 2.19.0),
    rstantools,
    spdep,
    testthat (>= 3.0)
VignetteBuilder:
    knitr
Config/testthat/edition: 3
Config/testthat/parallel: true
Config/testthat/start-first: loo_subsampling_cases, loo_subsampling
Encoding: UTF-8
LazyData: TRUE
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.3
SystemRequirements: pandoc (>= 1.12.3), pandoc-citeproc