Simulation code to accompany the manuscript "Common Permutation Methods in Animal Social Network Analysis Do Not Control for Non-independence". This code simulates four different scenarios for nodal and dyadic regression as illustrative examples of the impact of non-independence on permutation regression tests and parametric equivalents
This script simulates data to determine if the models recover parameters, and this script also asses...
Code and data to reproduce the results in the paper "Distributed Model Predictive Flocking with Obst...
In social networks analysis, two different approaches have predominated in creating null models for ...
Contains the R code necessary to run the simulations used in the manuscript "Common datastream permu...
Social network analysis is a suite of approaches for exploring relational data. Two approaches commo...
Permutation tests are widely used to test null hypotheses with animal social network data, but suffe...
The dataset used in our paper "Disease implications of animal social network structure: a synthesis ...
In social networks analysis, two different approaches have predominated in creating null models for ...
This is the author accepted manuscript. The final version is available from Oxford University Press ...
This is the final version. Available on open access from Wiley via the DOI in this record1. Social n...
Generating insights about a null hypothesis requires not only a good dataset, but also statistical t...
The dataset and link to codes used in our paper "Unraveling the disease consequences and mechanisms ...
We used simulations to evaluate methods for assessing statistical significance in association studie...
<p>Simulation studies generated independently from the three networks in consideration.</p
The following includes the custom code for the manuscript titled "In-degree centrality in a social n...
This script simulates data to determine if the models recover parameters, and this script also asses...
Code and data to reproduce the results in the paper "Distributed Model Predictive Flocking with Obst...
In social networks analysis, two different approaches have predominated in creating null models for ...
Contains the R code necessary to run the simulations used in the manuscript "Common datastream permu...
Social network analysis is a suite of approaches for exploring relational data. Two approaches commo...
Permutation tests are widely used to test null hypotheses with animal social network data, but suffe...
The dataset used in our paper "Disease implications of animal social network structure: a synthesis ...
In social networks analysis, two different approaches have predominated in creating null models for ...
This is the author accepted manuscript. The final version is available from Oxford University Press ...
This is the final version. Available on open access from Wiley via the DOI in this record1. Social n...
Generating insights about a null hypothesis requires not only a good dataset, but also statistical t...
The dataset and link to codes used in our paper "Unraveling the disease consequences and mechanisms ...
We used simulations to evaluate methods for assessing statistical significance in association studie...
<p>Simulation studies generated independently from the three networks in consideration.</p
The following includes the custom code for the manuscript titled "In-degree centrality in a social n...
This script simulates data to determine if the models recover parameters, and this script also asses...
Code and data to reproduce the results in the paper "Distributed Model Predictive Flocking with Obst...
In social networks analysis, two different approaches have predominated in creating null models for ...