R: Analysis of Heavy Tailed Distributions

# Analysis of Heavy Tailed Distributions

## Documentation for package ‘poweRlaw’ version 1.0.0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Code demos. Use demo() to run them.
- Package NEWS
- Package README

## Help Pages

poweRlaw-package | The poweRlaw package
powerlaw-package | The poweRlaw package
bootstrap | Estimating the lower bound (xmin)
bootstrap_moby | Example bootstrap results for the full Moby Dick data set
bootstrap_p | Estimating the lower bound (xmin)
bootstrap_p_moby | Example bootstrap results for the full Moby Dick data set
compare_distributions | Vuong's test for non-nested models
conexp | Heavy-tailed distributions
conexp-class | Heavy-tailed distributions
conlnorm | Heavy-tailed distributions
conlnorm-class | Heavy-tailed distributions
conpl | Heavy-tailed distributions
conpl-class | Heavy-tailed distributions
conweibull | Heavy-tailed distributions
conweibull-class | Heavy-tailed distributions
disexp | Heavy-tailed distributions
disexp-class | Heavy-tailed distributions
dislnorm | Heavy-tailed distributions
dislnorm-class | Heavy-tailed distributions
displ | Heavy-tailed distributions
displ-class | Heavy-tailed distributions
dispois | Heavy-tailed distributions
dispois-class | Heavy-tailed distributions
dist_all_cdf | The data cumulative distribution function
dist_all_cdf-method | The cumulative distribution function (cdf)
dist_cdf | The cumulative distribution function (cdf)
dist_cdf-method | The cumulative distribution function (cdf)
dist_data_all_cdf | The data cumulative distribution function
dist_data_all_cdf-method | The data cumulative distribution function
dist_data_cdf | The data cumulative distribution function
dist_data_cdf-method | The data cumulative distribution function
dist_ll | The log-likelihood function
dist_ll-method | The log-likelihood function
dist_pdf | The probability density function (pdf)
dist_pdf-method | The probability density function (pdf)
dist_rand | Random number generation for the distribution objects
dist_rand-method | Random number generation for the distribution objects
dplcon | The continuous power-law distribution
dpldis | Discrete power-law distribution
estimate_pars | Estimates the distributions using mle.
estimate_xmin | Estimating the lower bound (xmin)
get_bootstrap_p_sims | Estimating the lower bound (xmin)
get_bootstrap_sims | Estimating the lower bound (xmin)
get_distance_statistic | Estimating the lower bound (xmin)
get_KS_statistic | Deprecated function
get_n | Sample size
get_ntail | Values greater than or equal to xmin
lines-method | Generic plotting functions
moby | Moby Dick word count
moby_sample | Moby Dick word count
NativeAmerican | Casualties in the American Indian Wars (1776 and 1890)
native_american | Casualties in the American Indian Wars (1776 and 1890)
plot-method | Generic plotting functions
plot.bs_p_xmin | Plot methods for bootstrap objects
plot.bs_xmin | Plot methods for bootstrap objects
plot.compare_distributions | Plot methods for bootstrap objects
points-method | Generic plotting functions
Population | City boundaries and the universality of scaling laws
population | City boundaries and the universality of scaling laws
poweRlaw | The poweRlaw package
powerlaw | The poweRlaw package
pplcon | The continuous power-law distribution
ppldis | Discrete power-law distribution
rplcon | The continuous power-law distribution
rpldis | Discrete power-law distribution
show-method | Generic show method for distribution objects
Swiss_prot | Word frequency in the Swiss-Prot database
swiss_prot | Word frequency in the Swiss-Prot database
USAmerican | Casualties in the American Indian Wars (1776 and 1890)
us_american | Casualties in the American Indian Wars (1776 and 1890)