CRAN/E | SCEM

SCEM

Splitting-Coalescence-Estimation Method

Installation

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) "New Statistical Approaches to Intra-Individual Isotopic Analysis and Modeling Birth Seasonality in Studies of Herd Animals." doi:10.1111/arcm.12432.

Citation SCEM citation info
github.com/kserkcho/SCEM
Bug report File report

Key Metrics

Version 1.1.0
R ≥ 2.10
Published 2021-09-02 1021 days ago
Needs compilation? no
License GPL-3
CRAN checks SCEM results

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Maintainer

Maintainer

Kyung Serk Cho

Authors

Hannah Chazin

aut

Soudeep Deb

aut

Joshua Falk

aut

Arun Srinivasan

aut

Kyung Serk Cho

cre

Material

README
Reference manual
Package source

Vignettes

SCEM_example

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

SCEM archive

Depends

R ≥ 2.10

Imports

devtools
stats
mathjaxr

Suggests

knitr
markdown
rmarkdown
testthat ≥ 3.0.0