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Some EM-Type Estimation Methods for the Heckman Selection Model

0packages depend
2.6Kdownloads / year
52.7%test coverage
11/13flavors OK

Overview

About

Some EM-type algorithms to estimate parameters for the well-known Heckman selection model are provided in the package. Such algorithms are as follow: ECM(Expectation/Conditional Maximization), ECM(NR)(the Newton-Raphson method is adapted to the ECM) and ECME(Expectation/Conditional Maximization Either). Since the algorithms are based on the EM algorithm, they also have EM’s main advantages, namely, stability and ease of implementation. Further details and explanations of the algorithms can be found in Zhao et al. (2020) <doi: 10.1016/j.csda.2020.106930>.

Changes in 1.1.1
  • There is a modification with handling the missing data. We changed the warning message and new approach of handling missing data is adapted to both selection data and response data.

From NEWS.md in the release

Install

Health

CRAN checks
2NOTE11OK
Check messages
NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Maintainer: ‘Sang Kyu Lee <leesa111@msu.edu>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: c(person(given = "Kexuan",
                      family = "Yang",
                      role = "aut",
                      email = "717260446@qq.com"),
               person(given = c("Sang", "Kyu"),
                      family = "Lee",
                      role = c("aut", "cre"),
                      email = "leesa111@msu.edu"),
               person(given = "Jun",
                      family = "Zhao",
                      role = "aut",
                      email = "zhaojun2021@hotmail.com"),
               person(given = "Hyoung-Moon",
                      family = "Kim",
                      role = "aut",
                      email = "hmk966a@gmail.com"))
as necessary.

CRAN check page ↗

Slowest check: 2.3 min · r-oldrel-windows-x86_64
Status changes
  • NOTE11 OK, 2 NOTE2026-06-09
  • ERROR11 OK, 1 NOTE, 1 ERROR2026-06-08
  • NOTE12 OK, 2 NOTE2026-03-10
Advisories

none known

Documentation

In release 1.1.1
READMENoVignettesNoNEWSYes · 67% structured · mentions 1.1.1Citation fileNoWebsitenot declared in DESCRIPTION
Help pages
6
Examples that run
100%5 run in a plain check
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
33%

Downloads

2.6K
CRAN downloads in the past year
Rank #17,198 · ~7/day · ~216/mo
Daily download trend is not available in this view yet.
26430 days
74990 days
2.6K1 year
Compare downloads with other packages →
Also on73 r2u3 autocran

Repository

0Stars
0Forks
0Open issues
0Open PRs
0Releases
Last activity 2021-12-21
Responsiveness
not measured
PracticesBeta

1 development-tooling and community-health practice detected across 1 family in the upstream repository

Checks run against github.com/sangkyustat/emss on 2026-10-25.

Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies
3 external dependencies (excludes base and recommended)

Installing EMSS adds 68 packages (35 with compiled code, 63 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, doBy 4.3 MB.

Depends (1)
R >= 2.10
LinkingTo (0)
none
Suggests (1)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (from the free-text Author field) (4)

Maintainer since 1.0.0 (2020)

Releases (5)

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
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • 1.1.1Latest
    record
    2022-01-10 · current release · diff ↗
  • R
    R 4.1.0 released · 2021-05-18
  • 1.1.0
    record
    2021-05-10 · diff ↗
  • 1.0.2
    record
    2020-08-28 · diff ↗
  • 1.0.1
    record
    2020-05-31 · diff ↗
  • 1.0.0
    record
    2020-05-29
  • R
    R 4.0.0 released · 2020-04-24

Package metadata

First published
2020-05-29
Total releases
5 / 6 yrs
License
GPL-2 OSI
Minimum R
≥ 2.10
Bundled data
5.1 KB / 1 file
Download size
20 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("EMSS")

Cite the R Observatory

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

APA

Balamuta, J. J. (2026). R Observatory: Metrics for EMSS version 1.1.1 [Data set]. HJJB, LLC. Data release v2026-10-26. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-26, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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