MittagLeffleR

The MittagLeffleR R package

The first type Mittag-Leffler distribution is a heavy-tailed distribution, and occurs mainly as a waiting time distribution in problems with “fractional” time scales, e.g. times between earthquakes.

The second type Mittag-Leffler distribution is light-tailed, and “inverse” to the sum-stable distributions. It typically models the number of events in fractional systems and is used for time-changes of stochastic processes, e.g. anomalous diffusion processes.

Installation

Stable release on CRAN

You can install MittagLeffleR from CRAN via

install.packages("MittagLeffleR")
library(MittagLeffleR)

Development version on Github

Install the devtools package first, then

# install.packages("devtools")
devtools::install_github("strakaps/MittagLeffler")
library(MittagLeffleR)

Usage

See the reference manual at strakaps.github.io/MittagLeffleR/reference/index.html

Examples

Fitting a Mittag-Leffler distribution

Generate a dataset first:

library(MittagLeffleR)
y = rml(n = 10000, tail = 0.9, scale = 2)

Fit the distribution:

logMomentEstimator(y, 0.95)
#>        nu     delta      nuLo      nuHi   deltaLo   deltaHi
#> 0.8979629 2.0015598 0.8976156 0.8983103 1.9996012 2.0035184

• the shape parameter (0 < < 1),
• the scale parameter (> 0),
• their 95% confidence intervals.

Calculate the probability density of an anomalous diffusion process

Standard Brownian motion with drift (1) has, at time (t), has a normal probability density (n(x|= t, ^2 = t)). A fractional diffusion at time (t) has the time-changed probability density

[p(x,t) = n(x| = u, ^2 = u)h(u,t) du]

where (h(u,t)) is a second type Mittag-Leffler probability density with scale (t^). (We assume (t=1).)

tail <- 0.65
dx <- 0.01
x <- seq(-2,5,dx)
umax <- qml(p = 0.99, tail = tail, scale = 1, second.type = TRUE)
u <- seq(0.01,umax,dx)
h <- dml(x = u, tail = tail, scale = 1, second.type = TRUE)
N <- outer(x,u,function(x,u){dnorm(x = x, mean = u, sd = sqrt(u))})
p <- N %*% h * dx
plot(x,p, type='l', main = "Fractional diffusion with drift at t=1")

Vignettes

See the page strakaps.github.io/MittagLeffleR/articles/ for vignettes on

• Plots of the Mittag-Leffler distributions
• Details of Mittag-Leffler random variate generation
• Probabilities and Quantiles