convertParameters

<p>A fitted model object from nls function. The fitted model should have the following
parameter estimates - amplitude, intercept, frequency, phase.</p>

curve

<p>This function converts the estimated parameters from the non-linear least squares (NLS) model fit to the appropriate parameter space corresponding to the cosine model proposed by Balasse et al (2012).</p>

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>.

Kyung Serk Cho

SCEM

Splitting-Coalescence-Estimation Method

Hannah Chazin

Soudeep Deb

Joshua Falk

Arun Srinivasan

convertParameters function

Parameter estimates from a nonlinear lest squares (NLS) fit. — convertParameters

Parameter estimates from a nonlinear lest squares (NLS) fit.

convertParameters: Parameter estimates from a nonlinear lest squares (NLS) fit.

Description

Usage

Arguments

Value

Examples