mean_matrix

Calculate the mean matrix from a list of matrices. In the mean matrix, each
element of the matrix is the mean value at that indexed position, across all
the provided matrices.

Life Table Response Experiments (LTREs) are a method of comparative demographic analysis. The purpose is to quantify how the difference or variance in vital rates (stage-specific survival, growth, and fertility) among populations contributes to difference or variance in the population growth rate, "lambda." We provide functions for one-way fixed design and random design LTRE, using either the classical methods that have been in use for several decades, or an fANOVA-based exact method that directly calculates the impact on lambda of changes in matrix elements, for matrix elements and their interactions. The equations and descriptions for the classical methods of LTRE analysis can be found in Caswell (2001, ISBN: 0878930965), and the fANOVA-based exact methods are described in Hernandez et al. (2023) <doi:10.1111/2041-210X.14065>. We also provide some demographic functions, including generation time from Bienvenu and Legendre (2015) <doi:10.1086/681104>. For implementation of exactLTRE where all possible interactions are calculated, we use an operator matrix presented in Poelwijk, Krishna, and Ranganathan (2016) <doi:10.1371/journal.pcbi.1004771>.

Christina Hernandez

exactLTRE

An Exact Method for Life Table Response Experiment (LTRE)
Analysis

mean_matrix function

<dl><dt>Aobj</dt>
<dd>A list of matrix population models, which must all have the same
dimensions.</dd></dl>

Arguments

Calculate the mean matrix — mean_matrix

<dl>

<dt>Aobj</dt>
<dd>A list of matrix population models, which must all have the same
dimensions.</dd>

</dl>

mean_matrix: Calculate the mean matrix

Description

Usage

Value

Arguments

Examples