AIC | Akaike's An Information Criterion |
AIC.tsdistribution.estimate | Akaike's An Information Criterion |
AIC.tsdistribution.spdestimate | Akaike's An Information Criterion |
authorized_domain | Distribution Authorized Domain |
BIC | Bayesian Information Criterion |
BIC.tsdistribution.estimate | Bayesian Information Criterion |
BIC.tsdistribution.spdestimate | Bayesian Information Criterion |
bread | Bread Method |
bread.tsdistribution.estimate | Bread Method |
bread.tsdistribution.spdestimate | Bread Method |
coef | Extract Model Coefficients |
coef.tsdistribution.estimate | Extract Model Coefficients |
coef.tsdistribution.spdestimate | Extract Model Coefficients |
ddist | Distributions pqdr wrapper |
dged | Generalized Error Distribution |
dgh | Generalized Hyperbolic Distribution |
dghst | Generalized Hyperbolic Skewed Student Distribution |
distribution_bounds | Distribution Bounds |
distribution_modelspec | Specification of distribution model |
djsu | Johnson's SU Distribution |
dkurtosis | Distribution skewness and kurtosis |
dnig | Normal Inverse Gaussian Distribution |
dsged | Skewed Generalized Error Distribution of Fernandez and Steel |
dskewness | Distribution skewness and kurtosis |
dsnorm | Skewed Normal Distribution of Fernandez and Steel |
dspd | Semi-Parametric Distribution |
dsstd | Skewed Student Distribution of Fernandez and Steel |
dstd | Student Distribution |
estfun | Score Method |
estfun.tsdistribution.estimate | Score Method |
estimate | Estimates the parameters of a distribution using autodiff. |
estimate.tsdistribution.spdspec | Estimates the parameters of a semi-parametric distribution. |
estimate.tsdistribution.spec | Estimates the parameters of a distribution using autodiff. |
ghyptransform | Parameter Transformation |
logLik | Extract Log-Likelihood |
logLik.tsdistribution.estimate | Extract Log-Likelihood |
logLik.tsdistribution.spdestimate | Extract Log-Likelihood |
nigtransform | Parameter Transformation |
pdist | Distributions pqdr wrapper |
pged | Generalized Error Distribution |
pgh | Generalized Hyperbolic Distribution |
pghst | Generalized Hyperbolic Skewed Student Distribution |
pjsu | Johnson's SU Distribution |
pnig | Normal Inverse Gaussian Distribution |
print.summary.spd | Model Estimation Summary Print method |
print.summary.tsdistribution | Model Estimation Summary Print method |
print.summary.tsdistribution.profile | Profile Summary Print method |
psged | Skewed Generalized Error Distribution of Fernandez and Steel |
psnorm | Skewed Normal Distribution of Fernandez and Steel |
pspd | Semi-Parametric Distribution |
psstd | Skewed Student Distribution of Fernandez and Steel |
pstd | Student Distribution |
qdist | Distributions pqdr wrapper |
qged | Generalized Error Distribution |
qgh | Generalized Hyperbolic Distribution |
qghst | Generalized Hyperbolic Skewed Student Distribution |
qjsu | Johnson's SU Distribution |
qnig | Normal Inverse Gaussian Distribution |
qsged | Skewed Generalized Error Distribution of Fernandez and Steel |
qsnorm | Skewed Normal Distribution of Fernandez and Steel |
qspd | Semi-Parametric Distribution |
qsstd | Skewed Student Distribution of Fernandez and Steel |
qstd | Student Distribution |
rdist | Distributions pqdr wrapper |
rged | Generalized Error Distribution |
rgh | Generalized Hyperbolic Distribution |
rghst | Generalized Hyperbolic Skewed Student Distribution |
rjsu | Johnson's SU Distribution |
rnig | Normal Inverse Gaussian Distribution |
rsged | Skewed Generalized Error Distribution of Fernandez and Steel |
rsnorm | Skewed Normal Distribution of Fernandez and Steel |
rspd | Semi-Parametric Distribution |
rsstd | Skewed Student Distribution of Fernandez and Steel |
rstd | Student Distribution |
spd_modelspec | Specification of a semi-parametric distribution model |
summary | Summary of estimated distribution |
summary.tsdistribution.estimate | Summary of estimated distribution |
summary.tsdistribution.profile | Distribution Profile Summary |
summary.tsdistribution.spdestimate | Summary of estimated SPD distribution |
tsmoments | Extract the moments of an estimated distribution |
tsmoments.tsdistribution.estimate | Extract the moments of an estimated distribution |
tsprofile | Model Parameter Profiling |
tsprofile.tsdistribution.spec | Model Parameter Profiling |
vcov | The Covariance Matrix of the Estimated Parameters |
vcov.tsdistribution.estimate | The Covariance Matrix of the Estimated Parameters |
vcov.tsdistribution.spdestimate | The Covariance Matrix of the Estimated Parameters |