arson: arson data set
In thomas-fung/izipr: Interpretable Zero-Inflated Poisson Models in R
Description
Usage
Format
Source
References
Examples
Description
This data set gives the monthly counts of arson in the 13th police car beat plus in Pittsburgh PA, USA, starting from January 1990 to December 2001. We have 144 observations in which 61 of them, or 42.4%, are zeros.
Usage
1
Format
A vector of 144 observations.
Source
https://www.icpsr.umich.edu/icpsrweb/NACJD
References
Zhu, F. (2012) Zero-inflated poisson and negative binomial integer-valued garch models. Journal of Statistical Planning and Inference, 142, 826–839.
Examples
1
## For examples see example(tsglm.izip)
thomas-fung/izipr documentation built on Dec. 23, 2021, 9:57 a.m.
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Description Usage Format Source References Examples
Description
This data set gives the monthly counts of arson in the 13th police car beat plus in Pittsburgh PA, USA, starting from January 1990 to December 2001. We have 144 observations in which 61 of them, or 42.4%, are zeros.
Usage
1 |
Format
A vector of 144 observations.
Source
https://www.icpsr.umich.edu/icpsrweb/NACJD
References
Zhu, F. (2012) Zero-inflated poisson and negative binomial integer-valued garch models. Journal of Statistical Planning and Inference, 142, 826–839.
Examples
1 | ## For examples see example(tsglm.izip)
|
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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