Introduction | First steps with STARRS

Introduction | Model-based clustering: A first example | Synthetic data set | Robust clustering with STARRS | Robustness study | Distance-based methods | References

Geometric median | Weiszfeld algorithm | Example of use | Averaged Stochastic Gradient Algorithm | Comparison | Median Covariation Matrix | Weiszfeld algorithm for estimating the MCM | Averaged stochastic gradient algorithm for estimating the MCM | Comparison of the methods | References

Introduction | Regression | References

Framework | Robust estimates of the eigenvalues of the variance | Robbins–Monro algorithm for estimating robustly the eigenvalues of the variance | Example of use | Fixed-point algorithm for estimating the eigenvalues of the variance | Gradient-type algorithm | Comparison of the methods | Robust estimation of the variance | Offline Robust Variance Estimation | Online robust estimation of the variance | References

Example description | Population creation | Model parameters | Events creation | Model creation and simulation | Model creation | Simulation of the population over 50 years | Different simulations with the same model | Change of initial population | Modify an intensity | Deactivate an event | Addition of "number of children" characteristic | Addition of "cause of death" characteristics | Model with two independent causes of death | Death and exposure table

Example description | Population creation | Events description | Death events | Parameters | Birth events | Event creation | Swap event | Model creation (without id) | Simulation | Events bounds | Outputs | Initial and final age pyramids with different IMD subgroups | Evolution of population composition by age group | Different simulations with the same model | Simulation without swap events | Simulation of individual life courses

C++ syntax | Usual numeric functions | Individuals characteristics and model parameters: link between R and C++ | Atomic types (characteristics and parameters) | Vectors and matrices (model parameters) | Predefined functions (model parameters) | Real functions of one variable | Piecewise real functions of two variables | List of functions | Random variables

Brief overview of Individual-Based-Models (IBMs) | Individuals and population | Events type | Intensity classes | Simulation algorithm | Package description | Installation | Population | Events | Intensities | Event kernel code | Model creation | Simulation | Events bounds | Simulation | Outputs | Simulation with swap events | Vector of times in ?popsim. | Individual life courses | References

Example description | Population creation | Model parameters | Death intensity | Exit events | Entry events | Events creation | Death events creation | Exit events creation | Entry event creation | Model creation | Simulation | Computation of event intensity bounds | Outputs | Age pyramids | Life tables | Risk class 1 | Global portfolio | Different simulations with the same model

Example description | Population creation | Events and model creation | Birth event with individual intensity | Parameters | Event creation | Death event with interaction | Model creation | Simulation | Outputs | Simulation with different parameters | Impact of aging velocity | Increase in initial population size | Model with "full" simulation algorithm | References