A collection of R (and S-Plus) functions and some additional c-code for estimating the pattern of migration in a subdivided population from genetic differences generated by local genetic drift is described. The method is applicable to migration matrices of any form. Submodels defining the general form of the migration matrix can be written by the user. Functions are also provided for carrying out likelihood ratio tests between alternative models such as the island model and the stepping stone model, or between alternative user defined submodels. In addition, plots of predicted and observed covariances can be made to assess the fit of a selected model. Finally, code for computing the asymptotic eigenvalue variance effective size of a subdivi...
<p>M is the estimated migration rate, scaled for the appropriate mutation rate between the different...
The evolution of a quantitative trait subject to stabilizing selection and immigration, with the imm...
We use individual-based stochastic simulations and analytical deterministic predictions to investiga...
Many studies of subdivided populations have attempted to determine the underlying migration rates th...
Models of genetic differentiation which incorporate migration matrices generally assume that the rec...
Using properties of moment stationarity we develop exact expressions for the mean and covariance of ...
Understanding the population structure and patterns of gene flow within speciesis of fundamental imp...
When divergence occurs in the presence of gene flow, there can arise an interesting dynamic in which...
The balance between stabilizing selection and migration of maladapted individuals has formerly been ...
International audiencePopulation structure affects the relative influence of selection and drift on ...
Quantitative-genetic models of differentiation under migration-selection balance often rely on the a...
International audienceWe use individual-based stochastic simulations and analytical deterministic pr...
This work is an interdisciplinary effort combining statistics and population genetics. First by usin...
We use individual-based stochastic simulations and analytical deterministic predictions to investiga...
Population ecology is concerned with the growth patterns of populations. This field has many applica...
<p>M is the estimated migration rate, scaled for the appropriate mutation rate between the different...
The evolution of a quantitative trait subject to stabilizing selection and immigration, with the imm...
We use individual-based stochastic simulations and analytical deterministic predictions to investiga...
Many studies of subdivided populations have attempted to determine the underlying migration rates th...
Models of genetic differentiation which incorporate migration matrices generally assume that the rec...
Using properties of moment stationarity we develop exact expressions for the mean and covariance of ...
Understanding the population structure and patterns of gene flow within speciesis of fundamental imp...
When divergence occurs in the presence of gene flow, there can arise an interesting dynamic in which...
The balance between stabilizing selection and migration of maladapted individuals has formerly been ...
International audiencePopulation structure affects the relative influence of selection and drift on ...
Quantitative-genetic models of differentiation under migration-selection balance often rely on the a...
International audienceWe use individual-based stochastic simulations and analytical deterministic pr...
This work is an interdisciplinary effort combining statistics and population genetics. First by usin...
We use individual-based stochastic simulations and analytical deterministic predictions to investiga...
Population ecology is concerned with the growth patterns of populations. This field has many applica...
<p>M is the estimated migration rate, scaled for the appropriate mutation rate between the different...
The evolution of a quantitative trait subject to stabilizing selection and immigration, with the imm...
We use individual-based stochastic simulations and analytical deterministic predictions to investiga...