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iterLap

1.1-4

Approximate Probability Densities by Iterated Laplace Approximations

0packages depend
2.6Kdownloads / year
test coverage
11/13checks pass

Overview

About
Maintained by Bjoern BornkampFirst published 2011-03-096 releasesCRAN page ↗

The iterLap (iterated Laplace approximation) algorithm approximates a general (possibly non-normalized) probability density on R^p, by repeated Laplace approximations to the difference between current approximation and true density (on log scale). The final approximation is a mixture of multivariate normal distributions and might be used for example as a proposal distribution for importance sampling (eg in Bayesian applications). The algorithm can be seen as a computational generalization of the Laplace approximation suitable for skew or multimodal densities.

Install

Health

CRAN checks
2NOTE11OK
Failing flavors
  • NOTE r-devel-linux-x86_64-debian-clang
  • NOTE r-devel-linux-x86_64-debian-gcc
Slowest check: 52 s · r-devel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
3
Dependencies · direct
Check history
  • NOTE2026-03-10
    12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
50%

Downloads

2.6K
CRAN downloads in the past year
Rank #18,714 · ~7/day · ~220/mo
Daily download trend is not available in this view yet.
14330 days
57490 days
2.6K1 year
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Dependencies

Declared dependencies
2 external dependencies (excludes base and recommended)
Depends (4)
R >= 2.15quadprograndtoolboxparallel
Imports (0)
none
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (0)

Author records are not tracked yet for this package.

Listed in earlier versions (1)
no longer listed · 1.0-1 to 1.1-4
Package Timeline

6 releases. Pick two to compare their code metrics. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • 1.1-4Latest
    2023-10-01 · current release · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • R
    R 4.0.0 released · 2020-04-24
  • R
    R 3.6.0 released · 2019-04-26
  • R
    R 3.5.0 released · 2018-04-23
  • 1.1-3
    2017-08-05 · diff ↗
  • R
    R 3.4.0 released · 2017-04-21
  • R
    R 3.3.0 released · 2016-05-03
  • R
    R 3.2.0 released · 2015-04-16
  • R
    R 3.1.0 released · 2014-04-10
  • R
    R 3.0.0 released · 2013-04-03
Show 8 earlier events
  • 1.1-2
    2012-05-22 · diff ↗
  • R
    R 2.15.0 released · 2012-03-30
  • 1.1-1
    2011-11-13 · diff ↗
  • R
    R 2.14.0 released · 2011-10-31
  • 1.0-2
    2011-10-23 · diff ↗
  • R
    R 2.13.0 released · 2011-04-13
  • 1.0-1
    2011-03-09
  • R
    R 2.12.0 released · 2010-10-15

Package metadata

First published
2011-03-09
Total releases
6 / 15 yrs
License
GPL
Minimum R
≥ 2.15
Download size
11 KB
Installed size
not tracked yet
With dependencies
not tracked yet
Appears in task views

Cite

Cite this package

Start here. This is the citation for the package itself.

citation("iterLap")

CRAN DOI

https://doi.org/10.32614/CRAN.package.iterLap

This is the citation for the package. It is not a citation for the R Observatory.

Cite this page

Use this when the claim is about a measurement on this page.

BibTeX

@misc{robservatoryiterLap,
  author    = {Balamuta, James Joseph},
  title     = {{R} {Observatory}: Metrics for {iterLap} version 1.1-4},
  year      = {2026},
  publisher = {HJJB, LLC},
  url       = {https://r-observatory.thecoatlessprofessor.com/packages/iterLap},
  note      = {Data set. Data release v2026-08-05}
}

APA

Balamuta, J. J. (2026). R Observatory: Metrics for iterLap version 1.1-4 [Data set]. HJJB, LLC. Data release v2026-08-05. https://r-observatory.thecoatlessprofessor.com/packages/iterLap

RIS

TY  - DATA
AU  - Balamuta, James Joseph
TI  - R Observatory: Metrics for iterLap version 1.1-4
PY  - 2026
PB  - HJJB, LLC
N1  - Data release v2026-08-05
UR  - https://r-observatory.thecoatlessprofessor.com/packages/iterLap
ER  - 

In prose

These package metrics were obtained from the R Observatory (Balamuta, 2026), data release v2026-08-05, https://r-observatory.thecoatlessprofessor.com/packages/iterLap.

Bound to data release v2026-08-05, which is what makes the numbers on this page reproducible. See how to cite.

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