data_criminal: The crime sociology consisting a sample of 4301 people with...
In countDM: Estimation of Count Data Models
Criminal acts R Documentation
The crime sociology consisting a sample of 4301 people with deviating behavior
Description
The data set from crime sociology consisting a sample of 4301 people with deviating behavior.
Usage
data_criminal
Arguments
data_criminal
A vector of (non-negative integer) count values.
Details
The data set from crime sociology consisting a sample of 4301 people with deviating behavior. Recently, it is used by Zhang et al. (2016), fitted the zero one inflated Poisson distribution.
Value
data_criminal gives the crime sociology consisting a sample of 4301 people with deviating behavior.
Author(s)
Muhammad Imran and M.H. Tahir.
R implementation and documentation: Muhammad Imran imranshakoor84@yahoo.com and M.H. Tahir <mht@iub.edu.pk>.
References
Zhang, C., Tian, G. L., & Ng, K. W. (2016). Properties of the zero-and-one inflated Poisson distribution and likelihood-based inference methods. Statistics and its interface, 9(1), 11-32.
See Also
data_sbirth
Examples
x <- data_criminal
table (x)
countDM documentation built on May 31, 2023, 6:13 p.m.
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| Criminal acts | R Documentation |
The crime sociology consisting a sample of 4301 people with deviating behavior
Description
The data set from crime sociology consisting a sample of 4301 people with deviating behavior.
Usage
data_criminal
Arguments
data_criminal |
A vector of (non-negative integer) count values. |
Details
The data set from crime sociology consisting a sample of 4301 people with deviating behavior. Recently, it is used by Zhang et al. (2016), fitted the zero one inflated Poisson distribution.
Value
data_criminal gives the crime sociology consisting a sample of 4301 people with deviating behavior.
Author(s)
Muhammad Imran and M.H. Tahir.
R implementation and documentation: Muhammad Imran imranshakoor84@yahoo.com and M.H. Tahir <mht@iub.edu.pk>.
References
Zhang, C., Tian, G. L., & Ng, K. W. (2016). Properties of the zero-and-one inflated Poisson distribution and likelihood-based inference methods. Statistics and its interface, 9(1), 11-32.
See Also
data_sbirth
Examples
x <- data_criminal
table (x)
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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