R Observatory: Metrics for lsm version 0.2.1.5

Balamuta, James Joseph

lsm

0.2.1.5

Estimation of the log Likelihood of the Saturated Model

0packages depend

2.9Kdownloads / year

–test coverage

13/13checks pass

Overview

About

Maintained by Jorge VillalbaFirst published 2018-04-097 releasesCRAN page ↗

When the values of the outcome variable Y are either 0 or 1, the function lsm() calculates the estimation of the log likelihood in the saturated model. This model is characterized by Llinas (2006, ISSN:2389-8976) in section 2.3 through the assumptions 1 and 2. The function LogLik() works (almost perfectly) when the number of independent variables K is high, but for small K it calculates wrong values in some cases. For this reason, when Y is dichotomous and the data are grouped in J populations, it is recommended to use the function lsm() because it works very well for all K.

Install

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

install.packages("lsm", 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-lsm

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled.

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-lsm

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-lsm

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed).

Health

CRAN checks

13OK

Slowest check: 1.7 min · r-devel-linux-x86_64-fedora-clang

Code health

None

Tests · ratio 0.00

not tracked

Coverage

100%

Documentation · exports

3

Dependencies · direct

Check history

OK2026-08-05
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
NOTE2026-08-01
12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
OK2026-03-10
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMEYes · 262 wordsVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo

Examples that run: 100%
Documented parameters: 100%
Return-value docs: 100%
References docs: 91%

Downloads

2.9K

CRAN downloads in the past year

Rank #17,346 · ~8/day · ~245/mo

Releases R versions

Daily download trend is not available in this view yet.

13030 days

61190 days

2.9K1 year

Compare downloads with other packages →

Also on430 r2u6 autocran

Dependencies

Declared dependencies

2 external dependencies (excludes base and recommended)

Depends (1)

R >= 3.5.0

Imports (3)

statsdplyr ggplot2

LinkingTo (0)

none

Suggests (0)

none

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (3)

Maintainer (1)

Jorge Villalba

Author, Maintainer

Authors (3)

Jorge Villalba

Author, Maintainer

Omar Fabregas

Author

Humberto Llinas

Author

Package Timeline

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

R
R 4.6.0 released · 2026-04-24
0.2.1.5Latest
2025-06-02 · current release · diff ↗
R
R 4.5.0 released · 2025-04-11
0.2.1.4
2024-06-08 · diff ↗
R
R 4.4.0 released · 2024-04-24
R
R 4.3.0 released · 2023-04-21
R
R 4.2.0 released · 2022-04-22
0.2.1.2
2022-02-04 · diff ↗
R
R 4.1.0 released · 2021-05-18
R
R 4.0.0 released · 2020-04-24
0.2.0
2020-03-07 · diff ↗
0.1.9
2020-01-15 · diff ↗
R
R 3.6.0 released · 2019-04-26
0.1.8
2018-08-30 · diff ↗
R
R 3.5.0 released · 2018-04-23
0.1.6
2018-04-09

Show 1 earlier events

R
R 3.4.0 released · 2017-04-21

Package metadata

First published: 2018-04-09
Total releases: 7 / 8 yrs
License: MIT + file LICENSE OSI
Minimum R: ≥ 3.5.0
Bundled data: 66 KB / 6 files
Download size: 88 KB
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

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

citation("lsm")

CRAN DOI

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

BibTeX, derived from DESCRIPTION

@Manual{lsm,
  title  = {lsm: Estimation of the log Likelihood of the Saturated Model},
  author = {Villalba, Jorge and Fabregas, Omar and Llinas, Humberto},
  year   = {2025},
  note   = {R package version 0.2.1.5},
  doi    = {10.32614/CRAN.package.lsm},
  url    = {https://CRAN.R-project.org/package=lsm}
}

Derived from the package DESCRIPTION, not from a citation file the authors wrote. If they publish one later, prefer it.

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{robservatorylsm,
  author    = {Balamuta, James Joseph},
  title     = {{R} {Observatory}: Metrics for {lsm} version 0.2.1.5},
  year      = {2026},
  publisher = {HJJB, LLC},
  url       = {https://r-observatory.thecoatlessprofessor.com/packages/lsm},
  note      = {Data set. Data release v2026-08-05}
}

APA

Balamuta, J. J. (2026). R Observatory: Metrics for lsm version 0.2.1.5 [Data set]. HJJB, LLC. Data release v2026-08-05. https://r-observatory.thecoatlessprofessor.com/packages/lsm

RIS

TY  - DATA
AU  - Balamuta, James Joseph
TI  - R Observatory: Metrics for lsm version 0.2.1.5
PY  - 2026
PB  - HJJB, LLC
N1  - Data release v2026-08-05
UR  - https://r-observatory.thecoatlessprofessor.com/packages/lsm
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/lsm.

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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