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Rmetrics - Autoregressive Conditional Heteroskedastic Modelling


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Documentation for package ‘fGarch’ version 3042.83.2

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fGarch-package Modelling Heterskedasticity in Financial Time Series
absMoments Absolute Moments of GARCH Distributions
coef-method GARCH Coefficients Methods
coef-methods GARCH Coefficients Methods
dem2gbp Time Series Data Sets
dged Generalized Error Distribution
dsged Skew Generalized Error Distribution
dsnorm Skew Normal Distribution
dsstd Skew Student-t Distribution and Parameter Estimation
dstd Student-t Distribution
fGarch Modelling Heterskedasticity in Financial Time Series
fGARCH-class Class "fGARCH"
fGARCHSPEC-class Class "fGARCHSPEC"
fitted-method Extract GARCH Model Fitted Values
fitted-methods Extract GARCH Model Fitted Values
formula-method Extract GARCH Model formula
formula-methods Extract GARCH Model formula
fUGARCHSPEC-class Class "fGARCH"
garchFit Univariate GARCH Time Series Fitting
garchFitControl GARCH Fitting Algorithms and Control
garchKappa Univariate GARCH Time Series Fitting
garchSim Univariate GARCH/APARCH Time Series Simulation
garchSpec Univariate GARCH Time Series Specification
ged Generalized Error Distribution
gedFit Generalized Error Distribution Parameter Estimation
gedSlider Geeneralized Error Distribution Slider
pged Generalized Error Distribution
plot-method GARCH Plot Methods
plot-methods GARCH Plot Methods
predict-method GARCH Prediction Function
predict-methods GARCH Prediction Function
psged Skew Generalized Error Distribution
psnorm Skew Normal Distribution
psstd Skew Student-t Distribution and Parameter Estimation
pstd Student-t Distribution
qged Generalized Error Distribution
qsged Skew Generalized Error Distribution
qsnorm Skew Normal Distribution
qsstd Skew Student-t Distribution and Parameter Estimation
qstd Student-t Distribution
residuals-method Extract GARCH Model Residuals
residuals-methods Extract GARCH Model Residuals
rged Generalized Error Distribution
rsged Skew Generalized Error Distribution
rsnorm Skew Normal Distribution
rsstd Skew Student-t Distribution and Parameter Estimation
rstd Student-t Distribution
sged Skew Generalized Error Distribution
sgedFit Skew Generalized Error Distribution Parameter Estimation
sgedSlider Skew GED Distribution Slider
show-method GARCH Modelling Show Methods
show-methods GARCH Modelling Show Methods
snorm Skew Normal Distribution
snormFit Skew Normal Distribution Parameter Estimation
snormSlider Skew Normal Distribution Slider
sp500dge Time Series Data Sets
sstd Skew Student-t Distribution and Parameter Estimation
sstdFit Skew Student-t Distribution Parameter Estimation
sstdSlider Skew Student-t Distribution Slider
std Student-t Distribution
stdFit Student-t Distribution Parameter Estimation
stdSlider Student-t Distribution Slider
summary-method GARCH Summary Methods
summary-methods GARCH Summary Methods
TimeSeriesData Time Series Data Sets
update-method Class "fGARCH"
update-method Class "fGARCHSPEC"
volatility.fGARCH Extract GARCH Model Volatility
fGarch

Rmetrics - Autoregressive Conditional Heteroskedastic Modelling

v3042.83.2
GPL (>= 2)
Authors
Diethelm Wuertz [aut], Tobias Setz [cre], Yohan Chalabi [ctb], Chris Boudt [ctb], Pierre Chausse [ctb], Michal Miklovac [ctb]
Initial release
2017-11-12

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