| CARMA |
Continuous Autoregressive Moving Average (p, q) model |
| Carma |
Continuous Autoregressive Moving Average (p, q) model |
| carma.info-class |
Class for information about CARMA(p,q) model |
| carma.qmle |
Class for Quasi Maximum Likelihood Estimation of CARMA(p,q) model |
| Carma.Recovering |
Estimation for the underlying Levy in a carma model |
| CarmaNoise |
Estimation for the underlying Levy in a carma model |
| CarmaRecovNoise |
Estimation for the underlying Levy in a carma model |
| cbind-method |
Class for stochastic differential equations |
| cbind.yuima |
Set and access data of an object of type "yuima.data" or "yuima". |
| cbind.yuima-method |
Class "yuima.data" for the data slot of a "yuima" class object |
| cce |
Nonsynchronous Cumulative Covariance Estimator |
| cce-method |
Class for stochastic differential equations |
| cce-method |
Class "yuima.data" for the data slot of a "yuima" class object |
| cce.factor |
High-Dimensional Cumulative Covariance Estimator by Factor Modeling and Regularization |
| cdf |
Methods for an object of class 'yuima.law' |
| cdf-method |
Class of yuima law |
| char |
Methods for an object of class 'yuima.law' |
| char-method |
Class of yuima law |
| COGARCH |
Continuous-time GARCH (p,q) process |
| CoGarch |
Continuous-time GARCH (p,q) process |
| Cogarch |
Continuous-time GARCH (p,q) process |
| cogarch |
Continuous-time GARCH (p,q) process |
| cogarch.est-class |
Class for Generalized Method of Moments Estimation for COGARCH(p,q) model |
| cogarch.est.incr-class |
Class for Estimation of COGARCH(p,q) model with underlying increments |
| cogarch.info-class |
Class for information about CoGarch(p,q) |
| cogarch.Recovering |
Estimation for the underlying Levy in a COGARCH(p,q) model |
| cogarchNoise |
Estimation for the underlying Levy in a COGARCH(p,q) model |
| CogarchRecovNoise |
Estimation for the underlying Levy in a COGARCH(p,q) model |
| CP.qmle |
Class for Quasi Maximum Likelihood Estimation of Compound Poisson-based and SDE models |
| CPoint |
Volatility structural change point estimator |
| Data |
Five minutes Log SPX prices |
| DataPPR |
From 'zoo' data to 'yuima.PPR'. |
| dbgamma |
Random numbers and densities |
| dconst |
Fictitious rng for the constant random variable used to generate and describe Poisson jumps. |
| dens |
Methods for an object of class 'yuima.law' |
| dens-method |
Class of yuima law |
| dGH |
Random numbers and densities |
| dGIG |
Random numbers and densities |
| Diagnostic.Carma |
Diagnostic Carma model |
| Diagnostic.Cogarch |
Function for checking the statistical properties of the COGARCH(p,q) model |
| dIG |
Random numbers and densities |
| dim |
Set and access data of an object of type "yuima.data" or "yuima". |
| dim-method |
Class for stochastic differential equations |
| dim-method |
Class "yuima.data" for the data slot of a "yuima" class object |
| dNIG |
Random numbers and densities |
| dvgamma |
Random numbers and densities |
| get.counting.data |
Extract arrival times from an object of class 'yuima.PPR' |
| get.zoo.data |
Set and access data of an object of type "yuima.data" or "yuima". |
| get.zoo.data-method |
Class for stochastic differential equations |
| get.zoo.data-method |
Class "yuima.data" for the data slot of a "yuima" class object |
| gete |
Description of a functional associated with a perturbed stochastic differential equation |
| gete-method |
Classes for stochastic differential equations data object |
| getF |
Description of a functional associated with a perturbed stochastic differential equation |
| getf |
Description of a functional associated with a perturbed stochastic differential equation |
| getF-method |
Classes for stochastic differential equations data object |
| getf-method |
Classes for stochastic differential equations data object |
| getxinit |
Description of a functional associated with a perturbed stochastic differential equation |
| getxinit-method |
Classes for stochastic differential equations data object |
| gmm |
Method of Moments for COGARCH(P,Q). |
| gmm.COGARCH |
Method of Moments for COGARCH(P,Q). |
| IC |
Information criteria for the stochastic differential equation |
| incr.qmleLevy |
Class for Quasi Maximum Likelihood Estimation of Levy SDE model |
| info.Map |
Class for information about Map/Operators |
| info.Map-class |
Class for information about Map/Operators |
| info.PPR |
Class for information about Point Process |
| info.PPR-class |
Class for information about Point Process |
| initialize-method |
Class for the mathematical description of integral of a stochastic process |
| initialize-method |
Class for the mathematical description of integral of a stochastic process |
| initialize-method |
Class for information about Map/Operators |
| initialize-method |
Class for information about Point Process |
| initialize-method |
Class for the mathematical description of integral of a stochastic process |
| initialize-method |
Class for information about Map/Operators |
| initialize-method |
Class for the mathematical description of integral of a stochastic process |
| initialize-method |
Class for stochastic differential equations |
| initialize-method |
Class for a mathematical description of a Point Process |
| initialize-method |
Class for the mathematical description of integral of a stochastic process |
| initialize-method |
Class for the mathematical description of function of a stochastic process |
| initialize-method |
Class for a mathematical description of a Point Process |
| initialize-method |
Class for the asymptotic expansion of diffusion processes |
| initialize-method |
Class for the mathematical description of CARMA(p,q) model |
| initialize-method |
Classe for stochastic differential equations characteristic scheme |
| initialize-method |
Class for the mathematical description of CoGarch(p,q) model |
| initialize-method |
Class "yuima.data" for the data slot of a "yuima" class object |
| initialize-method |
Classes for stochastic differential equations data object |
| initialize-method |
Class of yuima law |
| initialize-method |
Classes for the mathematical description of stochastic differential equations |
| initialize-method |
Class for the mathematical description of Multi dimensional Jump Diffusion processes |
| initialize-method |
Class for the mathematical description of Compound Poisson processes |
| initialize-method |
Class for Quasi Maximum Likelihood Estimation of Levy SDE model |
| initialize-method |
Classes for stochastic differential equations sampling scheme |
| Integral.sde |
Class for the mathematical description of integral of a stochastic process |
| Integral.sde-class |
Class for the mathematical description of integral of a stochastic process |
| Integrand |
Class for the mathematical description of integral of a stochastic process |
| Integrand-class |
Class for the mathematical description of integral of a stochastic process |
| Intensity.PPR |
Intesity Process for the Point Process Regression Model |
| lambdaFromData |
Intensity of a Point Process Regression Model |
| lasso |
Adaptive LASSO estimation for stochastic differential equations |
| LawMethods |
Methods for an object of class 'yuima.law' |
| length |
Set and access data of an object of type "yuima.data" or "yuima". |
| length-method |
Class for stochastic differential equations |
| length-method |
Class "yuima.data" for the data slot of a "yuima" class object |
| Levy.Carma |
Estimation for the underlying Levy in a carma model |
| Levy.cogarch |
Estimation for the underlying Levy in a COGARCH(p,q) model |
| LevySDE |
Gaussian quasi-likelihood estimation for Levy driven SDE |
| limiting.gamma |
calculate the value of limiting covariance matrices : Gamma |
| limiting.gamma-method |
Class for stochastic differential equations |
| limiting.gamma-method |
Class for the mathematical description of CARMA(p,q) model |
| limiting.gamma-method |
Class for the mathematical description of CoGarch(p,q) model |
| limiting.gamma-method |
Classes for the mathematical description of stochastic differential equations |
| llag |
Lead Lag Estimator |
| llag-method |
Lead Lag Estimator |
| llag-method |
Class for stochastic differential equations |
| llag-method |
Class "yuima.data" for the data slot of a "yuima" class object |
| llag.test |
Wild Bootstrap Test for the Absence of Lead-Lag Effects |
| lm.jumptest |
Lee and Mykland's Test for the Presence of Jumps Using Normalized Returns |
| lmm |
Spectral Method for Cumulative Covariance Estimation |
| LogSPX |
Five minutes Log SPX prices |
| lse |
Calculate quasi-likelihood and ML estimator of least squares estimator |
| LSE-method |
Class for stochastic differential equations |
| lseBayes |
Adaptive Bayes estimator for the parameters in sde model by using LSE functions |
| lseBayes-method |
Adaptive Bayes estimator for the parameters in sde model by using LSE functions |
| Map of SDE |
Map of a Stochastic Differential Equation |
| Map of yuima |
Map of a Stochastic Differential Equation |
| medrv |
Volatility Estimation and Jump Test Using Nearest Neighbor Truncation |
| medrv.test |
Volatility Estimation and Jump Test Using Nearest Neighbor Truncation |
| Method of Moment COGARCH |
Method of Moments for COGARCH(P,Q). |
| minrv |
Volatility Estimation and Jump Test Using Nearest Neighbor Truncation |
| minrv.test |
Volatility Estimation and Jump Test Using Nearest Neighbor Truncation |
| ml.ql-method |
Class for stochastic differential equations |
| mllag |
Multiple Lead-Lag Detector |
| mmfrac |
mmfrac |
| model.parameter-class |
Class for the parameter description of stochastic differential equations |
| mpv |
Realized Multipower Variation |
| mpv-method |
Realized Multipower Variation |
| MWK151 |
Graybill - Methuselah Walk - PILO - ITRDB CA535 |
| param.Integral |
Class for the mathematical description of integral of a stochastic process |
| param.Integral-class |
Class for the mathematical description of integral of a stochastic process |
| param.Map |
Class for information about Map/Operators |
| param.Map-class |
Class for information about Map/Operators |
| phi.test |
Phi-divergence test statistic for stochastic differential equations |
| plot-method |
Class for Estimation of COGARCH(p,q) model with underlying increments |
| plot-method |
Class for Generalized Method of Moments Estimation for COGARCH(p,q) model |
| plot-method |
Class for stochastic differential equations |
| plot-method |
Class for Quasi Maximum Likelihood Estimation of Compound Poisson-based and SDE models |
| plot-method |
Class for the asymptotic expansion of diffusion processes |
| plot-method |
Class for Quasi Maximum Likelihood Estimation of CARMA(p,q) model |
| plot-method |
Class "yuima.data" for the data slot of a "yuima" class object |
| poisson.random.sampling |
Poisson random sampling method |
| poisson.random.sampling-method |
Class for stochastic differential equations |
| poisson.random.sampling-method |
Class "yuima.data" for the data slot of a "yuima" class object |
| PPR.qmle |
Class for Quasi Maximum Likelihood Estimation of Point Process Regression Models |
| pseudologlikelihood |
Calculate quasi-likelihood and ML estimator of least squares estimator |
| pseudologlikelihood.COGARCH |
Calculate quasi-likelihood and ML estimator of least squares estimator |
| pz.test |
Podolskij and Ziggel's Test for the Presence of Jumps Using Power Variation with Perturbed Truncation |
| qgv |
qgv |
| ql-method |
Class for stochastic differential equations |
| qmle |
Calculate quasi-likelihood and ML estimator of least squares estimator |
| qmle.carma |
Class for Quasi Maximum Likelihood Estimation of CARMA(p,q) model |
| qmle.CP |
Class for Quasi Maximum Likelihood Estimation of Compound Poisson-based and SDE models |
| qmle.PPR |
Class for Quasi Maximum Likelihood Estimation of Point Process Regression Models |
| qmleL |
Volatility structural change point estimator |
| qmleLevy |
Gaussian quasi-likelihood estimation for Levy driven SDE |
| qmleLevy.incr |
Class for Quasi Maximum Likelihood Estimation of Levy SDE model |
| qmleR |
Volatility structural change point estimator |
| quant |
Methods for an object of class 'yuima.law' |
| quant-method |
Class of yuima law |
| quasilogl |
Calculate quasi-likelihood and ML estimator of least squares estimator |
| rand |
Methods for an object of class 'yuima.law' |
| rand-method |
Methods for an object of class 'yuima.law' |
| rand-method |
Class of yuima law |
| rbgamma |
Random numbers and densities |
| rconst |
Fictitious rng for the constant random variable used to generate and describe Poisson jumps. |
| Recovering.Noise |
Estimation for the underlying Levy in a carma model |
| Recovering.Noise.cogarch |
Estimation for the underlying Levy in a COGARCH(p,q) model |
| rGH |
Random numbers and densities |
| rGIG |
Random numbers and densities |
| rIG |
Random numbers and densities |
| rng |
Random numbers and densities |
| rNIG |
Random numbers and densities |
| rnts |
Random numbers and densities |
| rpts |
Random numbers and densities |
| rql |
Calculate quasi-likelihood and ML estimator of least squares estimator |
| rql-method |
Class for stochastic differential equations |
| rstable |
Random numbers and densities |
| rvgamma |
Random numbers and densities |
| setCarma |
Continuous Autoregressive Moving Average (p, q) model |
| setCharacteristic |
Set characteristic information and create a 'characteristic' object. |
| setCogarch |
Continuous-time GARCH (p,q) process |
| setData |
Set and access data of an object of type "yuima.data" or "yuima". |
| setFunctional |
Description of a functional associated with a perturbed stochastic differential equation |
| setFunctional-method |
Description of a functional associated with a perturbed stochastic differential equation |
| setHawkes |
Constructor of Hawkes model |
| setIntegral |
Integral of Stochastic Differential Equation |
| setLaw |
Random variable constructor |
| setMap |
Map of a Stochastic Differential Equation |
| setModel |
Basic description of stochastic differential equations (SDE) |
| setPoisson |
Basic constructor for Compound Poisson processes |
| setPPR |
Point Process |
| setSampling |
Set sampling information and create a 'sampling' object. |
| setYuima |
Creates a "yuima" object by combining "model", "data", "sampling", "characteristic" and "functional"slots. |
| show-method |
Class "yuima.snr" for self-normalized residuals of SDE "yuima" class object |
| simBmllag |
Simulation of increments of bivariate Brownian motions with multi-scale lead-lag relationships |
| simBmllag.coef |
Simulation of increments of bivariate Brownian motions with multi-scale lead-lag relationships |
| simFunctional |
Calculate the value of functional |
| simFunctional-method |
Calculate the value of functional |
| simulate |
Simulator function for multi-dimensional stochastic processes |
| simulate-method |
Class for Estimation of COGARCH(p,q) model with underlying increments |
| simulate-method |
Class for stochastic differential equations |
| simulate-method |
Class for a mathematical description of a Point Process |
| simulate-method |
Class for the mathematical description of integral of a stochastic process |
| simulate-method |
Class for the mathematical description of function of a stochastic process |
| simulate-method |
Class for a mathematical description of a Point Process |
| simulate-method |
Class for the mathematical description of CARMA(p,q) model |
| simulate-method |
Class for the mathematical description of CoGarch(p,q) model |
| simulate-method |
Classes for the mathematical description of stochastic differential equations |
| simulate-method |
Class for the mathematical description of Multi dimensional Jump Diffusion processes |
| snr |
Calculating self-normalized residuals for SDEs. |
| spectralcov |
Spectral Method for Cumulative Covariance Estimation |
| subsampling |
subsampling |
| subsampling-method |
Class for stochastic differential equations |
| subsampling-method |
Class "yuima.data" for the data slot of a "yuima" class object |