R Observatory: Metrics for iterLap version 1.1-4

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

iterLap

1.1-4Package record

Approximate Probability Densities by Iterated Laplace Approximations

0packages depend

2.7Kdownloads / year

–test coverage

11/13flavors OK

Overview

About

Maintained by Bjoern BornkampCRAN 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

R (CRAN)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("iterLap", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-iterlap

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-iterLap

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-iterLap

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

2NOTE11OK

Check messages

NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc

Maintainer: ‘Bjoern Bornkamp <bbnkmp@mail.de>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: person(given = "Bjoern",
                    family = "Bornkamp",
                    role = c("aut", "cre"),
                    email = "bbnkmp@mail.de")
as necessary.

CRAN check page ↗

Slowest check: 1.9 min · r-devel-windows-x86_64

Status changes

NOTE11 OK, 2 NOTENow
NOTE12 OK, 2 NOTE2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.1-4

READMENoVignettesNoNEWSNoCitation fileYes · cites a publicationWebsitenot declared in DESCRIPTION

Help pages: 6 (1 internal)includes a package overview page
Examples that run: 60%3 run in a plain check · 2 hold no code
Exported functions with examples: 100%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 50%

How these are measured

Downloads

2.7K

CRAN downloads in the past year

Rank #17,944 · ~7/day · ~221/mo

Releases R versions

Daily download trend is not available in this view yet.

26630 days

71990 days

2.7K1 year

Compare downloads with other packages →

Also on379 r2u1 autocran149 c2d4u

How downloads are counted

Dependencies

Declared dependencies

2 external dependencies (excludes base and recommended)

Installing iterLap adds 3 packages (3 with compiled code, 1.5 MB of source tarballs). Heaviest: randtoolbox 1.4 MB, rngWELL 58 KB, quadprog 35 KB.

Depends (4)

R >= 2.15quadprog randtoolboxparallel

Imports (0)

none

LinkingTo (0)

none

Suggests (0)

none

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

People & History

People (from the free-text Author field) (1)

Bjoern Bornkamp

Maintainer since 1.0-1 (2011)

Releases (6)

Pick two releases to compare their code metrics.

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
record
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
record
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 eventsHide 8 earlier events

1.1-2
record
2012-05-22 · diff ↗
R
R 2.15.0 released · 2012-03-30
1.1-1
record
2011-11-13 · diff ↗
R
R 2.14.0 released · 2011-10-31
1.0-2
record
2011-10-23 · diff ↗
R
R 2.13.0 released · 2011-04-13
1.0-1
record
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

Appears in task views

Bayesian Inference

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("iterLap")

The package provides a citation file that builds its entry when R runs it. Run citation() to see it.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for iterLap version 1.1-4 [Data set]. HJJB, LLC. Data release v2026-10-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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