Other packages > Find by keyword >

SCEM  

Splitting-Coalescence-Estimation Method
View on CRAN: Click here


Download and install SCEM package within the R console
Install from CRAN:
install.packages("SCEM")

Install from Github:
library("remotes")
install_github("cran/SCEM")

Install by package version:
library("remotes")
install_version("SCEM", "1.2.0")



Attach the package and use:
library("SCEM")
Maintained by
Kyung Serk Cho
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-08-06
Latest Update:
Description:
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) "New Statistical Approaches to Intra-Individual Isotopic Analysis and Modeling Birth Seasonality in Studies of Herd Animals." .
How to cite:
Kyung Serk Cho (2021). SCEM: Splitting-Coalescence-Estimation Method. R package version 1.2.0, https://cran.r-project.org/web/packages/SCEM. Accessed 18 Sep. 2026.
Previous versions and publish date:
(2026-07-09 08:24), 1.0.0 (2021-08-06 10:10), 1.1.0 (2021-09-02 09:20)
Other packages that cited SCEM R package
View SCEM citation profile
Other R packages that SCEM depends, imports, suggests or enhances
Complete documentation for SCEM
Functions, R codes and Examples using the SCEM R package
Some associated functions: EBIC . EstTrend . SCEM . SCalgo . calculateRSS . convertParameters . data-armenia . iteration . kernel . makeFits . makeFits_OLS . makeFits_initial . sineFit . sine_OLS . sine_initial . 
Some associated R codes: EBIC.R . EstTrend.R . SCEM.R . SCalgo.R . calculateRSS.R . convertParameters.R . iteration.R . kernel.R . makeFits.R . makeFits_OLS.R . makeFits_initial.R . sineFit.R . sine_OLS.R . sine_initial.R .  Full SCEM package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

data360r  
Wrapper for 'TCdata360' and 'Govdata360' API
Makes it easy to engage with the Application Program Interface (API) of the 'TCdata360' and 'Govdat ...
Download / Learn more Package Citations See dependency  
downlit  
Syntax Highlighting and Automatic Linking
Syntax highlighting of R code, specifically designed for the needs of 'RMarkdown' packages like 'pk ...
Download / Learn more Package Citations See dependency  
r2resize  
In-Text Resize for Images, Tables and Fancy Resize Containers in 'shiny', 'rmarkdown' and 'quarto' Documents
Automatic resizing toolbar for containers, images and tables. Various resizable or expandable contai ...
Download / Learn more Package Citations See dependency  
injectoR  
R Dependency Injection
R dependency injection framework. Dependency injection allows a program design to follow the depend ...
Download / Learn more Package Citations See dependency  
hmeasure  
The H-Measure and Other Scalar Classification Performance Metrics
Classification performance metrics that are derived from the ROC curve of a classifier. The package ...
Download / Learn more Package Citations See dependency  
eyelinker  
Import ASC Files from EyeLink Eye Trackers
Imports plain-text ASC data files from EyeLink eye trackers into (relatively) tidy data frames for ...
Download / Learn more Package Citations See dependency  

28,565

R Packages

239,283

Dependencies

75,677

Author Associations

28,566

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA