simulate_data: Simulate data for use in examples
In jmeydam/countcheck: Detecting Count Anomalies Using Bayesian Hierarchical Models
simulate_data R Documentation
Simulate data for use in examples
Description
The distributions and parameters in this simulation have been chosen
so that the generated data is roughly comparable to certain data of
interest.
Usage
simulate_data(units = 1000, random_seed = NULL)
Arguments
units
Number of observational units (default: 1000)
random_seed
Seed value (optional)
Value
Data frame initialized with simulated data
jmeydam/countcheck documentation built on Aug. 16, 2024, 11:34 a.m.
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| simulate_data | R Documentation |
Simulate data for use in examples
Description
The distributions and parameters in this simulation have been chosen so that the generated data is roughly comparable to certain data of interest.
Usage
simulate_data(units = 1000, random_seed = NULL)
Arguments
units |
Number of observational units (default: 1000) |
random_seed |
Seed value (optional) |
Value
Data frame initialized with simulated data
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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