R Observatory: Metrics for ssmodels version 2.0.2

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

ssmodels

2.0.2Package record

Sample Selection Models

0packages depend

3.6Kdownloads / year

40.0%test coverage

13/13flavors OK

Overview

About

Maintained by Fernando de Souza BastosCRAN page ↗GitHub ↗Website ↗Issues ↗

In order to facilitate the adjustment of the sample selection models existing in the literature, we created the 'ssmodels' package. Our package allows the adjustment of the classic Heckman model (Heckman (1976), Heckman (1979) doi:10.2307/1912352), and the estimation of the parameters of this model via the maximum likelihood method and two-step method, in addition to the adjustment of the Heckman-t models introduced in the literature by Marchenko and Genton (2012) doi:10.1080/01621459.2012.656011 and the Heckman-Skew model introduced in the literature by Ogundimu and Hutton (2016) doi:10.1111/sjos.12171. We also implemented functions to adjust the generalized version of the Heckman model, introduced by Bastos, Barreto-Souza, and Genton (2021) doi:10.5705/ss.202021.0068, that allows the inclusion of covariables to the dispersion and correlation parameters, and a function to adjust the Heckman-BS model introduced by Bastos and Barreto-Souza (2020) doi:10.1080/02664763.2020.1780570 that uses the Birnbaum-Saunders distribution as a joint distribution of the selection and primary regression variables. This package extends and complements existing R packages such as 'sampleSelection' (Toomet and Henningsen, 2008) and 'ssmrob' (Zhelonkin et al., 2016), providing additional robust and flexible sample selection models.

Changes in 2.0.2

Bug Fixes

Corrected the HeckmanBS() score and standard-error chain rule for rho_star -> rho.
Added coefficients_link and gradient_link to HeckmanBS() results for transparent gradient validation on the optimization scale.
Moved gradient validation scripts and independent score/log-likelihood helpers to inst/validation/.
Cleaned stale dependency declarations and made complete.cases() references namespace-explicit.

From NEWS.md in the release

Install

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

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

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

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("fsbmat-ufv/ssmodels")

Development version from fsbmat-ufv/ssmodels. Installs pak first if it is not already available.

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-ssmodels

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-ssmodels

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-ssmodels

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

13OK

CRAN check page ↗

Slowest check: 1.6 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-08-04
NOTE12 OK, 1 NOTE2026-08-01
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 2.0.2

READMEYes · 381 wordsVignettesNoNEWSYes · 100% structured · mentions 2.0.2Citation fileNoWebsiteYes · pkgdown

Help pages: 22 (2 internal)includes a package overview page
Examples that run: 100%10 run in a plain check
Exported functions with examples: 31%
Documented parameters: 84%
Return-value docs: 100%
Help pages citing references: 41% with a bibliography file

How these are measured

Downloads

3.6K

CRAN downloads in the past year

Rank #9,730 · ~10/day · ~297/mo

Releases R versions

Daily download trend is not available in this view yet.

41730 days

1K90 days

3.6K1 year

Compare downloads with other packages →

Also on80 r2u3 autocran

How downloads are counted

Repository

fsbmat-ufv/ssmodels ↗Account: fsbmat-ufv

1Stars

1Forks

1Open issues

0Open PRs

0Releases

75Commits

3Commit identities

75 commits · Last activity 2026-09-28 · The default branch showed an older version (2.0.1) than CRAN on 2026-10-18

Responsiveness

How these are sampled

PRs merged (all time): 100%
Median days to close, 50 most recently updated closed issues: not measured
Median days to close, 50 most recently updated closed PRs: 0

Stars over time

2022-10-05 · 12026-07-07 · 1

How these are measured

PracticesBeta

10 development-tooling and community-health practices detected across 5 families in the upstream repository

Checks run against github.com/fsbmat-ufv/ssmodels on 2026-10-18.

Continuous integration (2)

GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux

Docs source (4)

README.Rmdpkgdown

GitHub Pages site last deployed 2026-09-28 · The repository has a site deploy workflow

pkgdown site last built 2026-09-28

CRAN release process (2)

cran-comments.mdCRAN-SUBMISSION

Research and citation (1)

CITATION.cff

Show all practicesHide 1 practice

Lint, format, editor (1)

RStudio project

How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies

13 external dependencies (excludes base and recommended)

Installing ssmodels adds 10 packages (5 with compiled code, 4.1 MB of source tarballs). Heaviest: rbibutils 1.1 MB, quantreg 903 KB, sn 806 KB.

Depends (1)

R >= 3.6.0

Imports (4)

MASSsn miscTools Rdpack

LinkingTo (0)

none

Suggests (10)

knitr testthat numDeriv (>= 2016.8-1.1)maxLik mvtnorm sampleSelection kableExtra kfigr (>= 1.2)ggplot2 gridExtra

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

Datasets

People & History

People (2)

Fernando de Souza Bastos

Author, Maintainer since 1.0.1 (2022)

Wagner Barreto de Souza

Author

Releases (4)

Pick two releases to compare their code metrics.

2.0.2Latest
record
2026-05-30 · current release · diff ↗ ·
added 5 exports
summary.HeckmanBS, summary.HeckmanCL, summary.HeckmanGe, summary.HeckmanSK, summary.HeckmantS
R
R 4.6.0 released · 2026-04-24
2.0.1
record
2025-06-02 · diff ↗
2.0.0
record
2025-06-02 · diff ↗ ·
removed 5 exports
summary.HeckmanBS, summary.HeckmanCL, summary.HeckmanGe, summary.HeckmanSK, summary.HeckmantS

added 2 exports
extract_model_components, postprocess_theta
R
R 4.5.0 released · 2025-04-11
R
R 4.4.0 released · 2024-04-24
R
R 4.3.0 released · 2023-04-21
1.0.1
record
2022-10-04
R
R 4.2.0 released · 2022-04-22

Package metadata

First published: 2022-10-04
Total releases: 4 / 4 yrs
License: GPL (>= 2) OSI
Minimum R: ≥ 3.6.0
Bundled data: 750 KB / 5 files
Download size: 859 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("ssmodels")

Format

de Souza Bastos, F., & Barreto de Souza, W. (2026). ssmodels: Sample Selection Models (Version 2.0.2) [Computer software]. https://doi.org/10.32614/CRAN.package.ssmodels

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

The repository also keeps a CITATION.cff.

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 ssmodels version 2.0.2 [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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