Introduction | Benchmarking the Density Function Approximations | Generating Benchmark Data | Analysis of Benchmark Results | Benchmarking Model Fitting to Real-World Data | Generating Benchmark Data for Parameter Estimation | Log-Likelihood Functions | Fitting Function | Running the Fitting | Analysis of Benchmark Results | References

Mathematical Background | The Distribution Function Approximations | Infinite Sum Methods | Normal CDF | Mills Ratio | PDE Method | Benchmarking the Distribution Function Approximations | Vectorized Benchmark Data and Results | Non-vectorized Benchmark Data and Results | References

Introduction | Fitting with ddm() | Simple Fitting Routine | Rudimentary Analysis | Fitting Manually with dfddm() | Log-likelihood Function | Simple Fitting Routine | Fitting the Entire Dataset | Rudimentary Analysis | References

Mathematical Background | The Density Function Approximations | Large-Time | Small-Time | Navarro & Fuss | Gondan, Blurton, Kesselmeier | Stop When Small Enough (SWSE) | Combining Large-Time and Small-Time | Navarro Small & Navarro Large | Gondan Small & Navarro Large | Stop When Small Enough (SWSE) Small & Navarro Large | First Heuristic: Large-Time Efficiency | Second Heuristic: Effective Response Time | References

Background | Validating the Density Function Approximations | Generating Data | Testing the Density Function Approximations | Known Errors (KE) | Validating Fitting (Optimization) Using the Density Function Approximations | Generating the Parameter Estimates Using Real-World Data | Log-Likelihood Functions | Fitting Function | Running the Fitting | Testing the Fitted Parameters | References

Description of the Experiment | Descriptive data | Diffusion Model Analysis | Graphical Model Fit | Predicted Response Rates | Predicted Median RTs | All quantiles | LBA analysis | Comparing Model Fit | References