yuima1.15.27 package

The YUIMA Project Package for SDEs

aeKurtosis

Asymptotic Expansion - Kurtosis

carmaHawkes.info-class

Class for information on the Hawkes process with a CARMA(p,q) intensit...

CarmaNoise

Estimation for the underlying Levy in a carma model

cce.factor

High-Dimensional Cumulative Covariance Estimator by Factor Modeling an...

cce

Nonsynchronous Cumulative Covariance Estimator

aeMarginal

Asymptotic Expansion - Marginals

aeMean

Asymptotic Expansion - Mean

aeMoment

Asymptotic Expansion - Moments

aeSd

Asymptotic Expansion - Standard Deviation

aeSkewness

Asymptotic Expansion - Skewness

asymptotic_term

asymptotic expansion of the expected value of the functional

bns.test

Barndorff-Nielsen and Shephard's Test for the Presence of Jumps Using ...

carma.info-class

Class for information about CARMA(p,q) model

adaBayes

Adaptive Bayes estimator for the parameters in sde model

ae

Asymptotic Expansion

aeCharacteristic

Asymptotic Expansion - Characteristic Function

aeDensity

Asymptotic Expansion - Density

aeExpectation

Asymptotic Expansion - Functionals

cogarch.est.incr.rd

Class for Estimation of COGARCH(p,q) model with underlying increments

cogarch.est.rd

Class for Generalized Method of Moments Estimation for COGARCH(p,q) mo...

cogarch.info-class

Class for information about CoGarch(p,q)

cogarchNoise

Estimation for the underlying Levy in a COGARCH(p,q) model

CPoint

Volatility structural change point estimator

DataPpr

From zoo data to yuima.PPR.

Diagnostic.Carma

Diagnostic Carma model

Diagnostic.Cogarch

Function for checking the statistical properties of the COGARCH(p,q) m...

estimation_LRM

Estimation of the t-Levy Regression Model

EstimCarmaHawkes

Estimation Methods for a CARMA(p,q)-Hawkes Counting Process

fitCIR

Calculate preliminary estimator and one-step improvements of a Cox-Ing...

FromCF2yuima_law

From a Characteristic Function to an yuima.law-object.

get.counting.data

Extract arrival times from an object of class yuima.PPR

gmm.rd

Method of Moments for COGARCH(P,Q).

hyavar

Asymptotic Variance Estimator for the Hayashi-Yoshida estimator

IC

Information criteria for the stochastic differential equation

info.Map

Class for information about Map/Operators

info.Ppr

Class for information about Point Process

Integral.sde.rd

Class for the mathematical description of integral of a stochastic pro...

Integrand.rd

Class for the mathematical description of integral of a stochastic pro...

Intensity.PPR

Intesity Process for the Point Process Regression Model

JBtest

Remove jumps and calculate the Gaussian quasi-likelihood estimator bas...

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

limiting.gamma

calculate the value of limiting covariance matrices : Gamma

llag

Lead Lag Estimator

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 Retu...

lseBayes

Adaptive Bayes estimator for the parameters in sde model by using LSE ...

mllag

Multiple Lead-Lag Detector

mmfrac

mmfrac

model.parameter-class

Class for the parameter description of stochastic differential equatio...

mpv

Realized Multipower Variation

noisy.sampling

Noisy Observation Generator

ntv

Volatility Estimation and Jump Test Using Nearest Neighbor Truncation

param.Integral.rd

Class for the mathematical description of integral of a stochastic pro...

param.Map

Class for information about Map/Operators

phi.test

Phi-divergence test statistic for stochastic differential equations

poisson.random.sampling

Poisson random sampling method

pz.test

Podolskij and Ziggel's Test for the Presence of Jumps Using Power Vari...

qgv

qgv

qmle

Calculate quasi-likelihood and ML estimator of least squares estimator

qmleLevy

Gaussian quasi-likelihood estimation for Levy driven SDE

rconst

Fictitious rng for the constant random variable used to generate and d...

rng

Random numbers and densities

setCarma

Continuous Autoregressive Moving Average (p, q) model

setCarmaHawkes

Hawkes Process with a Continuous Autoregressive Moving Average(p, q) i...

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 dif...

setHawkes

Constructor of Hawkes model

setIntegral

Integral of Stochastic Differential Equation

setLaw

Random variable constructor

setLaw_th

Constructior of a t-Levy process.

setLRM

A constructor of a t-Student Regression Model.

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", "ch...

simBmllag

Simulation of increments of bivariate Brownian motions with multi-scal...

simCIR

Simulation of the Cox-Ingersoll-Ross diffusion

simFunctional

Calculate the value of functional

simulate

Simulator function for multi-dimensional stochastic processes

snr

Calculating self-normalized residuals for SDEs.

spectralcov

Spectral Method for Cumulative Covariance Estimation

subsampling

subsampling

toLatex

Additional Methods for LaTeX Representations for Yuima objects

variable.Integral.rd

Class for the mathematical description of integral of a stochastic pro...

wllag

Scale-by-scale lead-lag estimation

ybook

R code for the Yuima Book

yuima-class

Class for stochastic differential equations

yuima.ae-class

Class for the asymptotic expansion of diffusion processes

yuima.carma-class

Class for the mathematical description of CARMA(p,q) model

yuima.carma.qmle-class

Class for Quasi Maximum Likelihood Estimation of CARMA(p,q) model

yuima.carmaHawkes-class

Class for the mathematical description of a Hawkes process with a CARM...

yuima.characteristic-class

Classe for stochastic differential equations characteristic scheme

yuima.cogarch-class

Class for the mathematical description of CoGarch(p,q) model

yuima.CP.qmle-class

Class for Quasi Maximum Likelihood Estimation of Compound Poisson-base...

yuima.data-class

Class "yuima.data" for the data slot of a "yuima" class object

yuima.functional-class

Classes for stochastic differential equations data object

yuima.Hawkes

Class for a mathematical description of a Point Process

yuima.Integral-class.rd

Class for the mathematical description of integral of a stochastic pro...

yuima.law-class.rd

yuima law-class: A mathematical description for the noise.

yuima.LevyRM-class

yuima.LevyRM: A class for the mathematical description of the t-Stud...

yuima.Map-class

Class for the mathematical description of function of a stochastic pro...

yuima.model-class

Classes for the mathematical description of stochastic differential eq...

yuima.multimodel

Class for the mathematical description of Multi dimensional Jump Diffu...

yuima.poisson-class

Class for the mathematical description of Compound Poisson processes

yuima.PPR.qmle-class

Class for Quasi Maximum Likelihood Estimation of Point Process Regress...

yuima.Ppr

Class for a mathematical description of a Point Process

yuima.qmleLevy.incr-class

Class for Quasi Maximum Likelihood Estimation of Levy SDE model

yuima.sampling-class

Classes for stochastic differential equations sampling scheme

yuima.snr-class

Class "yuima.snr" for self-normalized residuals of SDE "yuima" class o...

yuima.th-class

yuima.th-class: A mathematical description for the t-Levy process.

Simulation and Inference for SDEs and Other Stochastic Processes.

  • Maintainer: Stefano M. Iacus
  • License: GPL-2
  • Last published: 2024-02-29