Man pages for dennisprangle/gk
g-and-k and g-and-h Distribution Functions
| abc | Approximate Bayesian computation inference |
| abc_batch | Single batch of ABC |
| fdsa | Finite difference stochastic approximation inference |
| fx | Exchange rate example |
| g-and-h | g-and-h distribution functions |
| g-and-k | g-and-k distribution functions |
| improper_uniform_log_density | Improper uniform log density |
| isValid | Check validity of g-and-k or g-and-h parameters |
| isValid_scalar | Check validity of g-and-k or g-and-h parameters |
| logSumExp | Calculate log sum exp safely |
| mcmc | Markov chain Monte Carlo inference |
| momentEstimates | Convert octiles to moment estimates |
| orderstats | Order statistics |
| pgh_scalar | Distribution function for the g-and-h distribution |
| pgk_scalar | Distribution function for the g-and-k distribution |
| project | Project into a region |
| Qgh_deriv | g-and-h Q derivative |
| Qgh_log_deriv | g-and-h Q log derivative |
| Qgk_deriv | g-and-k Q derivative |
| Qgk_log_deriv | g-and-k Q log derivative |
| z2gh | Transform standard normal draws to g-and-h draws. |
| z2gk | Transform standard normal draws to g-and-k draws. |
