Mainardi-Wright Family of Distributions
Point estimates for two-sided M-Wright distribution
Random number generation for one-sided M-Wright distribution
Random number generation for two-sided M-Wright distribution
One-sided M-Wright distribution
Two-sided M-Wright distribution
Interval estimation for one-sided M-Wright distribution
Interval estimation for two-sided M-Wright distribution
MWright Package
Distribution function for one-sided M-Wright distribution
Distribution function for two-sided M-Wright distribution
Point estimation for one-sided M-Wright distribution
Implements random number generation, plotting, and estimation algorithms for the two-parameter one-sided and two-sided M-Wright (Mainardi-Wright) family. The M-Wright distributions naturally generalize the widely used one-sided (Airy and half-normal or half-Gaussian) and symmetric (Airy and Gaussian or normal) models. These are widely studied in time-fractional differential equations. References: Cahoy and Minkabo (2017) <doi:10.3233/MAS-170388>; Cahoy (2012) <doi:10.1007/s00180-011-0269-x>; Cahoy (2012) <doi:10.1080/03610926.2010.543299>; Cahoy (2011); Mainardi, Mura, and Pagnini (2010) <doi:10.1155/2010/104505>.