rplconv: Generate random deviates for power laws
In mpadge/paretoconv: Calculates the N-Fold Convolution of Two Pareto Distributions
Description
Usage
Arguments
Value
Note
Description
Generate random deviates for power laws
Usage
1
rplconv(n, x0, alpha, discrete_max = 10000)
Arguments
n
Number of deviates
x0
Traditional cutoff parameter of Pareto distribution
alpha
Primary shape parameter of Pareto distribution
discrete_max
Upper limit for generation (see poweRlaw::rpldis
for details)
Value
Vector of n random deviates
Note
This is directly cribbed from poweRlaw::rpldis, modified only to
generate random deviates for all values including 0<x<xmin.
mpadge/paretoconv documentation built on March 9, 2020, 9:54 p.m.
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Description Usage Arguments Value Note
Description
Generate random deviates for power laws
Usage
1 | rplconv(n, x0, alpha, discrete_max = 10000)
|
Arguments
n |
Number of deviates |
x0 |
Traditional cutoff parameter of Pareto distribution |
alpha |
Primary shape parameter of Pareto distribution |
discrete_max |
Upper limit for generation (see |
Value
Vector of n random deviates
Note
This is directly cribbed from poweRlaw::rpldis, modified only to
generate random deviates for all values including 0<x<xmin.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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