20.2 Bifurcations with systems of equations.19.2 Sensitivity to parameters with the trace-determinant.19.1 Two dimensional linear systems: the general case.18.2 Computing eigenvalues and eigenvectors.17.5 Predator prey with logistic growth.17 Local Linearization and the Jacobian.16.2 Stability of an equilibrium solution.III Stability Analysis for Differential Equations.14.2 The Information on Information Criterion.13.2 MCMC Parameter Estimation with a Differential Equation Model.13.1 MCMC Parameter Estimation with an Empirical Model.13 Markov Chain Monte Carlo Parameter Estimation.12.2 Applying the likelihood to evaluate parameters.11.3 Bootstapping with linear regression.11.2 Statistical theory: Sampling distributions.10.4 Conditional Probabilities and Bayes’ Rule.10.2 Connection to likelihood functions.10.1 Cost functions: likelihood functions in disguise.9.3 Connecting probabilities to linear regression.7.5 Applying guess and check more broadly.7 Exact Solutions to Differential Equations.6.2 Determining stability of an equilbrium solution.5.3 A stability test for equilibrium solutions.5.2 Phase lines for differential equations.5 Phase Lines and Equilibrium Solutions.3.4 Other types of functional responses.2.4 Working with R: variables, data frames, and datasets.2.3 Increasing functionality with packages.2.2 First steps: getting acquainted with R.1.2 Modeling in context: the spread of a disease.1.1 Rates of change in the world: a model is born.Modeling with Data and Differential Equations in R.
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