Index

A

alpha (powerlawrs.dist.pareto.Pareto attribute)

alpha_hat() (in module powerlawrs.dist.powerlaw)

C

calculate_sim_params() (in module powerlawrs.util.sim) ccdf() (powerlawrs.dist.exponential.Exponential method) (powerlawrs.dist.lognormal.Lognormal method) (powerlawrs.dist.pareto.Pareto method) (powerlawrs.dist.powerlaw.Powerlaw method)

cdf() (powerlawrs.dist.exponential.Exponential method) (powerlawrs.dist.lognormal.Lognormal method) (powerlawrs.dist.pareto.Pareto method) (powerlawrs.dist.powerlaw.Powerlaw method)

E

erf() (in module powerlawrs.util)

Exponential (class in powerlawrs.dist.exponential)

F

fit() (in module powerlawrs) (powerlawrs.Powerlaw method)

from_fitment() (powerlawrs.dist.lognormal.Lognormal static method) (powerlawrs.dist.pareto.Pareto static method)

G

generate_synthetic_datasets() (in module powerlawrs.util.sim)

K

ks_1sam_sorted() (in module powerlawrs.stats.ks)

L

linspace() (in module powerlawrs.util) loglikelihood() (powerlawrs.dist.exponential.Exponential method) (powerlawrs.dist.lognormal.Lognormal method) (powerlawrs.dist.pareto.Pareto method) (powerlawrs.dist.powerlaw.Powerlaw method)

Lognormal (class in powerlawrs.dist.lognormal)

M

mean() (in module powerlawrs.stats.descriptive) module powerlawrs powerlawrs.dist powerlawrs.dist.exponential powerlawrs.dist.lognormal powerlawrs.dist.pareto powerlawrs.dist.powerlaw powerlawrs.stats powerlawrs.stats.descriptive powerlawrs.stats.ks powerlawrs.stats.random powerlawrs.util powerlawrs.util.sim

N

name() (powerlawrs.dist.exponential.Exponential method) (powerlawrs.dist.lognormal.Lognormal method) (powerlawrs.dist.pareto.Pareto method) (powerlawrs.dist.powerlaw.Powerlaw method)

P

parameters() (powerlawrs.dist.exponential.Exponential method) (powerlawrs.dist.lognormal.Lognormal method) (powerlawrs.dist.pareto.Pareto method) (powerlawrs.dist.powerlaw.Powerlaw method) Pareto (class in powerlawrs.dist.pareto) pdf() (powerlawrs.dist.exponential.Exponential method) (powerlawrs.dist.lognormal.Lognormal method) (powerlawrs.dist.pareto.Pareto method) (powerlawrs.dist.powerlaw.Powerlaw method) plot() (powerlawrs.Powerlaw method) Powerlaw (class in powerlawrs) (class in powerlawrs.dist.powerlaw) powerlawrs module powerlawrs.dist module powerlawrs.dist.exponential module

powerlawrs.dist.lognormal module powerlawrs.dist.pareto module powerlawrs.dist.powerlaw module powerlawrs.stats module powerlawrs.stats.descriptive module powerlawrs.stats.ks module powerlawrs.stats.random module powerlawrs.util module powerlawrs.util.sim module

R

random_choice() (in module powerlawrs.stats.random) random_uniform() (in module powerlawrs.stats.random) rv() (powerlawrs.dist.exponential.Exponential method) (powerlawrs.dist.lognormal.Lognormal method) (powerlawrs.dist.pareto.Pareto method) (powerlawrs.dist.powerlaw.Powerlaw method)

V

variance() (in module powerlawrs.stats.descriptive)

X

x_min (powerlawrs.dist.pareto.Pareto attribute)