Man pages for csgillespie/poweRlaw
Analysis of Heavy Tailed Distributions
| bootstrap_moby | Example bootstrap results for the full Moby Dick data set |
| compare_distributions | Vuong's test for non-nested models |
| displ | Heavy-tailed distributions |
| dist_cdf-methods | The cumulative distribution function (cdf) |
| dist_data_cdf-methods | The data cumulative distribution function |
| dist_ll-methods | The log-likelihood function |
| dist_pdf-methods | The probability density function (pdf) |
| dist_rand-methods | 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_KS_statistic-deprecated | Deprecated function |
| get_n | Sample size |
| get_ntail | Values greater than or equal to xmin |
| moby | Moby Dick word count |
| native_american | Casualties in the American Indian Wars (1776 and 1890) |
| plot.bs_xmin | Plot methods for bootstrap objects |
| plot-distribution-method | Generic plotting functions |
| population | City boundaries and the universality of scaling laws |
| poweRlaw-package | The poweRlaw package |
| show-distribution-method | Generic show method for distribution objects |
| swiss_prot | Word frequency in the Swiss-Prot database |
