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) |