generate_user_magnitude: Function for sampling from the powerlaw distribution of user...
In behavioral-ds/evently: Fit Hawkes and HawkesN Processes with AMPL and Ipopt
generate_user_magnitude R Documentation
Function for sampling from the powerlaw distribution of user influence
it is the equivalent of the Richter-Gutenberg distribution in the Helmstetter model
the powerlaw distribution was determined from the twitter data, from the #retweets
alpha = 2.016, xmin = 1. Draw n values
Description
Function for sampling from the powerlaw distribution of user influence
it is the equivalent of the Richter-Gutenberg distribution in the Helmstetter model
the powerlaw distribution was determined from the twitter data, from the #retweets
alpha = 2.016, xmin = 1. Draw n values
Usage
generate_user_magnitude(n, alpha = 2.016, mmin = 1)
Arguments
n
The number of samples to be generated
alpha
Powerlaw distribution parameters
mmin
Powerlaw distribution parameters
Value
A single number, a random user magnitude
Examples
generate_user_magnitude(n = 1)
behavioral-ds/evently documentation built on Feb. 3, 2023, 9:42 a.m.
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| generate_user_magnitude | R Documentation |
Function for sampling from the powerlaw distribution of user influence it is the equivalent of the Richter-Gutenberg distribution in the Helmstetter model the powerlaw distribution was determined from the twitter data, from the #retweets alpha = 2.016, xmin = 1. Draw n values
Description
Function for sampling from the powerlaw distribution of user influence it is the equivalent of the Richter-Gutenberg distribution in the Helmstetter model the powerlaw distribution was determined from the twitter data, from the #retweets alpha = 2.016, xmin = 1. Draw n values
Usage
generate_user_magnitude(n, alpha = 2.016, mmin = 1)
Arguments
n |
The number of samples to be generated |
alpha |
Powerlaw distribution parameters |
mmin |
Powerlaw distribution parameters |
Value
A single number, a random user magnitude
Examples
generate_user_magnitude(n = 1)
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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