estimate_pars: Estimates the distributions using mle.

In 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)

Example output

$gof
[1] 0.01554137

$xmin
[1] 7

$pars
[1] 1.957412

$ntail
[1] 335

$distance
[1] "ks"

attr(,"class")
[1] "estimate_xmin"
$pars
[1] 1.957411

$value
[1] 1327.789

$counts
function gradient 
       5        5 

$convergence
[1] 0

$message
[1] "CONVERGENCE: REL_REDUCTION_OF_F <= FACTR*EPSMCH"

attr(,"class")
[1] "estimate_pars"

poweRlaw documentation built on April 25, 2020, 9:06 a.m.