| DNF | Discrete Nonlinear Filtering Algorithm for Stochastic Volatility Models |
| DNF.dynamicsSVM | Discrete Nonlinear Filtering Algorithm for Stochastic Volatility Models |
| DNFOptim | Discrete Nonlinear Filter Maximum Likelihood Estimation Function |
| DNFOptim.dynamicsSVM | Discrete Nonlinear Filter Maximum Likelihood Estimation Function |
| dynamicsSVM | Stochastic Volatility Models Dynamics |
| extractVolPerc | Extract Filtering and Prediction Distribution Percentiles |
| extractVolPerc.DNFOptim | Extract Filtering and Prediction Distribution Percentiles |
| extractVolPerc.SVDNF | Extract Filtering and Prediction Distribution Percentiles |
| logLik.DNFOptim | Extract Log-Likelihood for 'SVDNF' and 'DNFOptim' Objects |
| logLik.SVDNF | Extract Log-Likelihood for 'SVDNF' and 'DNFOptim' Objects |
| modelSim | Simulation from Stochastic Volatility Models with Jumps |
| modelSim.dynamicsSVM | Simulation from Stochastic Volatility Models with Jumps |
| pars | Parameters Names and Order for Stochastic Volatility Models with Jumps |
| pars.dynamicsSVM | Parameters Names and Order for Stochastic Volatility Models with Jumps |
| plot.DNFOptim | DNF Filtering Distribution Plot Function |
| plot.predict.DNFOptim | Plot Predictions from 'DNFOptim' or 'SVDNF' Objects |
| plot.predict.SVDNF | Plot Predictions from 'DNFOptim' or 'SVDNF' Objects |
| plot.SVDNF | DNF Filtering Distribution Plot Function |
| predict.DNFOptim | Predict Method for 'DNFOptim' and 'SVDNF' Objects |
| predict.SVDNF | Predict Method for 'DNFOptim' and 'SVDNF' Objects |
| print.summary.DNFOptim | Summarizing Stochastic Volatility Model Fits from the Discrete Nonlinear Filter |
| summary.DNFOptim | Summarizing Stochastic Volatility Model Fits from the Discrete Nonlinear Filter |