Learn R Programming
⚠️There's a newer version (5.0) of this package.Take me there.

mixedsde

To install the mixedsde package in a R console, type:

install.packages("devtools")

library(devtools)

install_github("charlottedion/mixedsde")

Copy Link

Version

Install

install.packages('mixedsde')

Monthly Downloads

154

Version

4.0

License

GPL (>= 2)

Maintainer

Charlotte Dion

Last Published

March 19th, 2018

Functions in mixedsde (4.0)

bx

Computation Of The Drift Coefficient
chain2samples

Removing Of Burn-in Phase And Thinning
ad.propSd_random

Adaptation For The Proposal Variance
ad.propSd

Adaptation For The Proposal Variance
BayesianNormal

Bayesian Estimation In Mixed Stochastic Differential Equations
UV

Computation Of The Sufficient Statistics
Bayes.fit-class

S4 class for the Bayesian estimation results
Freq.fit-class

S4 class for the frequentist estimation results
Bayes.pred-class

S4 class for the Bayesian prediction results
mixedsde.sim

Simulation Of A Mixed Stochastic Differential Equation
dcCIR2

Likelihood Function For The CIR Model
discr

Simulation Of Random Variables
EstParamNormal

Maximization Of The Log Likelihood In Mixed Stochastic Differential Equations
eigenvaluesV

Matrix Of Eigenvalues Of A List Of Symetric Matrices
likelihoodNormal

Computation Of The Log Likelihood In Mixed Stochastic Differential Equations
plot2compare,Bayes.pred-method

Comparing plot method plot2compare for three Bayesian prediction class objects
likelihoodNormalestimfix

Likelihood Function When The Fixed Effect Is Estimated
plot2compare

Comparing plot method
mixedsde-package

Density estimation in mixed stochastic differential models
summary,Freq.fit-method

Short summary of the results of class object Freq.fit
pred,Bayes.fit-method

Bayesian prediction method for a class object Bayes.fit
diagnostic

Calcucation Of Burn-in Phase And Thinning Rate
mixedsde.fit

Estimation Of The Random Effects In Mixed Stochastic Differential Equations
valid,Bayes.fit-method

Validation of the chosen model.
pred,Freq.fit-method

Prediction method for the Freq.fit class object
mixture.sim

Simulation Of A Mixture Of Two Normal Or Gamma Distributions
valid,Freq.fit-method

Validation of the chosen model.
plot,Freq.fit,ANY-method

Plot method for the frequentist estimation class object
valid

Validation of the chosen model.
plot2compare,Bayes.fit-method

Comparing plot method plot2compare for three Bayesian estimation class objects
pred

Prediction method
print,Bayes.fit-method

Print of acceptance rates of the MH steps
plot,Bayes.fit,ANY-method

Plot method for the Bayesian estimation class object
print,Freq.fit-method

Description of print
plot,Bayes.pred,ANY-method

Plot method for the Bayesian prediction class object
summary,Bayes.fit-method

Short summary of the results of class object Bayes.fit
neuronal.data

Trajectories Interspike Of A Single Neuron Of A Ginea Pig
out

Transfers the class object to a list