Location Scale Standardized Distributions
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Documentation for package ‘tsdistributions’ version 1.0.0
Help Pages
| AIC | Akaike's An Information Criterion |
| AIC.tsdistribution.estimate | Akaike's An Information Criterion |
| authorized_domain | Distribution Authorized Domain |
| BIC | Bayesian Information Criterion |
| BIC.tsdistribution.estimate | Bayesian Information Criterion |
| bread | Bread Method |
| bread.tsdistribution.estimate | Bread Method |
| coef | Extract Model Coefficients |
| coef.tsdistribution.estimate | 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 |
| 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.spec | Estimates the parameters of a distribution using autodiff. |
| ghyptransform | Parameter Transformation |
| logLik | Extract Log-Likelihood |
| logLik.tsdistribution.estimate | 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.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 |
| 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 |
| 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 |
| rsstd | Skewed Student Distribution of Fernandez and Steel |
| rstd | Student Distribution |
| summary | Summary of estimated distribution |
| summary.tsdistribution.estimate | Summary of estimated distribution |
| summary.tsdistribution.profile | Distribution Profile Summary |
| 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 |