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Splitting-Coalescence-Estimation Method

0packages depend
1Kdownloads / year
0.0%test coverage
13/13flavors OK

Overview

About

We introduce improved methods for statistically assessing birth seasonality and intra-annual variation. The first method we propose is a new idea that uses a nonparametric clustering procedure to group individuals with similar time series data and estimate birth seasonality based on the clusters. One can use the function SCEM() to implement this method. The second method estimates input parameters for use with a previously-developed parametric approach (Tornero et al., 2013). The relevant code for this approach is makeFits_OLS(), while makeFits_initial() is the code to implement the same method but with given initial conditions for two parameters. The latter can be used to show the disadvantage of the existing approach. One can use the function makeFits() to generate parametric birth seasonality estimates using either initialization. Detailed description can be found here: Chazin Hannah, Soudeep Deb, Joshua Falk, and Arun Srinivasan (2019) doi:10.1111/arcm.12432 "New Statistical Approaches to Intra-Individual Isotopic Analysis and Modeling Birth Seasonality in Studies of Herd Animals".

Install

Health

CRAN checks
13OK
Slowest check: 4.3 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK6 OK2026-07-03
Advisories

none known

Documentation

In release 1.2.0
README· In the repository, left out of the releaseVignettesYes · 1 · dynamicNEWS· In the repository, left out of the releaseCitation fileYes · cites a publicationWebsiteYes · pkgdown
Help pages
15
Examples that run
80%12 run in a plain check · 3 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
40%
Vignettes (1)

Downloads

1K
CRAN downloads in the past year
Rank #14,267 · ~3/day · ~84/mo
Daily download trend is not available in this view yet.
33230 days
83090 days
1K1 year
Compare downloads with other packages →
Also on65 r2u5 autocran

Repository

0Stars
0Forks
0Open issues
0Open PRs
0Releases
Last activity 2026-06-25
Responsiveness
not measured
PracticesBeta

8 development-tooling and community-health practices detected across 4 families in the upstream repository

Checks run against github.com/hchazin/scem on 2026-10-18.

Continuous integration (3)
GitHub ActionsR CMD check workflowTravis CI (config file)

The R CMD check workflow runs on macOS

Docs source (3)
README.Rmdpkgdown

GitHub Pages site last deployed 2026-06-25

pkgdown site last built 2026-06-25, before release 1.2.0 (2026-07-02)

CRAN release process (1)
cran-comments.md
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies
5 external dependencies (excludes base and recommended)

Installing SCEM adds 1 package (0 with compiled code, 3.0 MB of source tarballs). Heaviest: mathjaxr 3.0 MB.

Depends (1)
R >= 2.10
Imports (2)
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (5)
Author, Maintainer since 1.2.0 (2026)

Previously maintained by Kyung Serk Cho (1.0.0 to 1.1.0).

Releases (3)

Pick two releases to compare their code metrics.

  • unarchivedReturned to CRAN
    2026-07-02
  • 1.2.0Latest
    record
    2026-07-02 · current release · diff ↗
  • R
    R 4.6.0 released · 2026-04-24
  • archivedRemoved from CRAN
    2025-06-17
    issues were not corrected despite reminders
  • 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
  • 1.1.0
    record
    2021-09-02 · diff ↗
  • 1.0.0
    record
    2021-08-06
  • R
    R 4.1.0 released · 2021-05-18

Package metadata

First published
2021-08-06
Total releases
3 / 5 yrs
License
GPL-3 OSI
Minimum R
≥ 2.10
Bundled data
1.3 KB / 1 file
Download size
73 KB

Cite

Cite this package

Run in R for the authors' entry:

citation("SCEM")

The package provides a citation file, so citation() returns the authors' own entry.

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 SCEM version 1.2.0 [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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