| 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) |