We introduce improved methods for statistically assessing birth seasonality and intraannual 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 previouslydeveloped 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 IntraIndividual Isotopic Analysis and Modeling Birth Seasonality in Studies of Herd Animals." <doi:10.1111/arcm.12432>.
Package details 


Author  Hannah Chazin [aut], Soudeep Deb [aut], Joshua Falk [aut], Arun Srinivasan [aut], Kyung Serk Cho [cre] 
Maintainer  Kyung Serk Cho <kyslf1994@gmail.com> 
License  GPL3 
Version  1.1.0 
URL  https://github.com/kserkcho/SCEM 
Package repository  View on CRAN 
Installation 
Install the latest version of this package by entering the following in R:

Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.