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) |