Estimation Methods for Stochastic Differential Mixed Effects Models

[Up] [Top]

Documentation for package ‘mixedsde’ version 5.0

Help Pages

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
Bayes.pred-class S4 class for the Bayesian prediction results
BayesianNormal Bayesian Estimation In Mixed Stochastic Differential Equations
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 Differential Equations
Freq.fit-class S4 class for the frequentist estimation results
likelihoodNormal Computation Of The Log Likelihood In Mixed Stochastic Differential Equations
likelihoodNormalestimfix Likelihood Function When The Fixed Effect Is Estimated
mixedsde.fit Estimation Of The Random Effects In Mixed Stochastic Differential Equations
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
plot-method Plot method for the Bayesian estimation class object
plot-method Plot method for the Bayesian prediction class object
plot-method Plot method for the frequentist estimation class object
plot2compare Comparing plot method
plot2compare-method Comparing plot method plot2compare for three Bayesian estimation class objects
plot2compare-method Comparing plot method plot2compare for three Bayesian prediction class objects
pred Prediction method
pred-method Bayesian prediction method for a class object Bayes.fit
pred-method Prediction method for the Freq.fit class object
print-method Print of acceptance rates of the MH steps
print-method Description of print
summary-method Short summary of the results of class object Bayes.fit
summary-method Short summary of the results of class object Freq.fit
UV Computation Of The Sufficient Statistics
valid Validation of the chosen model.
valid-method Validation of the chosen model.
valid-method Validation of the chosen model.