Man pages for tsdistributions
Location Scale Standardized Distributions
| AIC.tsdistribution.estimate | Akaike's An Information Criterion |
| authorized_domain | Distribution Authorized Domain |
| BIC.tsdistribution.estimate | Bayesian Information Criterion |
| bread.tsdistribution.estimate | Bread Method |
| coef.tsdistribution.estimate | Extract Model Coefficients |
| ddist | Distributions pqdr wrapper |
| distribution_bounds | Distribution Bounds |
| distribution_modelspec | Specification of distribution model |
| dskewness | Distribution skewness and kurtosis |
| estfun.tsdistribution.estimate | Score Method |
| estimate.tsdistribution.spdspec | Estimates the parameters of a semi-parametric distribution. |
| estimate.tsdistribution.spec | Estimates the parameters of a distribution using autodiff. |
| ged | Generalized Error Distribution |
| gh | Generalized Hyperbolic Distribution (rho-zeta... |
| ghst | Generalized Hyperbolic Skewed Student Distribution |
| ghyp | Generalized Hyperbolic Distribution (alpha-beta-delta-mu... |
| ghyptransform | Parameter Transformation |
| jsu | Johnson's SU Distribution |
| logLik.tsdistribution.estimate | Extract Log-Likelihood |
| nig | Normal Inverse Gaussian Distribution |
| print.summary.tsdistribution | Model Estimation Summary Print method |
| print.tsdistribution.profile | Profile Summary Print method |
| sged | Skewed Generalized Error Distribution of Fernandez and Steel |
| snorm | Skewed Normal Distribution of Fernandez and Steel |
| spd | Semi-Parametric Distribution |
| spd_modelspec | Specification of a semi-parametric distribution model |
| sstd | Skewed Student Distribution of Fernandez and Steel |
| std | Student Distribution |
| summary.tsdistribution.estimate | Summary of estimated distribution |
| summary.tsdistribution.profile | Distribution Profile Summary |
| summary.tsdistribution.spdestimate | Summary of estimated SPD distribution |
| tsdistributions-package | tsdistributions: Location Scale Standardized Distributions |
| tsmoments.tsdistribution.estimate | Extract the moments of an estimated distribution |
| tsprofile.tsdistribution.spec | Model Parameter Profiling |
| vcov.tsdistribution.estimate | The Covariance Matrix of the Estimated Parameters |
