estimate_pars: Estimates the distributions using mle.

In csgillespie/poweRlaw: Analysis of Heavy Tailed Distributions

Description

estimate_pars estimates the distribution's parameters using their maximum likelihood estimator. This estimate is conditional on the current xmin value.

Usage

estimate_pars(m, pars = NULL)

Arguments

m	A reference class object that contains the data.
pars	default NULL. A vector or matrix (number of columns equal to the number of parameters) of parameters used to #' optimise over. Otherwise, for each value of xmin, the mle will be used, i.e. estimate_pars(m). For small samples, the mle may be biased.

Value

returns list.

Examples

data(moby_sample)
m = displ$new(moby_sample)
estimate_xmin(m)
m$setXmin(7)
estimate_pars(m)

csgillespie/poweRlaw documentation built on May 23, 2020, 12:16 p.m.