Man pages for charlottedion/mixedsde
Estimation Methods for Stochastic Differential Mixed Effects Models
| ad.propSd | Adaptation For The Proposal Variance |
| ad.propSd_random | Adaptation For The Proposal Variance |
| Bayes.fit-class | S4 class for the Bayesian estimation results |
| BayesianNormal | Bayesian Estimation In Mixed Stochastic Differential... |
| Bayes.pred-class | S4 class for the Bayesian prediction results |
| bx | Computation Of The Drift Coefficient |
| chain2samples | Removing Of Burn-in Phase And Thinning |
| dcCIR2 | Likelihood Function For The CIR Model |
| diagnostic | Calcucation Of Burn-in Phase And Thinning Rate |
| discr | Simulation Of Random Variables |
| eigenvaluesV | Matrix Of Eigenvalues Of A List Of Symetric Matrices |
| EstParamNormal | Maximization Of The Log Likelihood In Mixed Stochastic... |
| Freq.fit-class | S4 class for the frequentist estimation results |
| likelihoodNormal | Computation Of The Log Likelihood In Mixed Stochastic... |
| likelihoodNormalestimfix | Likelihood Function When The Fixed Effect Is Estimated |
| mixedsde.fit | Estimation Of The Random Effects In Mixed Stochastic... |
| mixedsde-package | Density estimation in mixed stochastic differential models |
| mixedsde.sim | Simulation Of A Mixed Stochastic Differential Equation |
| mixture.sim | Simulation Of A Mixture Of Two Normal Or Gamma Distributions |
| neuronal.data | Trajectories Interspike Of A Single Neuron Of A Ginea Pig |
| out | Transfers the class object to a list |
| plot2compare | Comparing plot method |
| plot2compare-Bayes.fit-method | Comparing plot method plot2compare for three Bayesian... |
| plot2compare-Bayes.pred-method | Comparing plot method plot2compare for three Bayesian... |
| plot-Bayes.fit-ANY-method | Plot method for the Bayesian estimation class object |
| plot-Bayes.pred-ANY-method | Plot method for the Bayesian prediction class object |
| plot-Freq.fit-ANY-method | Plot method for the frequentist estimation class object |
| pred | Prediction method |
| pred-Bayes.fit-method | Bayesian prediction method for a class object Bayes.fit |
| pred-Freq.fit-method | Prediction method for the Freq.fit class object |
| print-Bayes.fit-method | Print of acceptance rates of the MH steps |
| print-Freq.fit-method | Description of print |
| summary-Bayes.fit-method | Short summary of the results of class object Bayes.fit |
| summary-Freq.fit-method | Short summary of the results of class object Freq.fit |
| UV | Computation Of The Sufficient Statistics |
| valid | Validation of the chosen model. |
| valid-Bayes.fit-method | Validation of the chosen model. |
| valid-Freq.fit-method | Validation of the chosen model. |
