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DOI:	10.1371/journal.pone.0167570
论文题名:	GWRM: An R Package for Identifying Sources of Variation in Overdispersed Count Data
作者:	Silverio Vílchez-López; Antonio José Sáez-Castillo; María José Olmo-Jiménez
刊名:	PLOS ONE
ISSN:	1932-6203
出版年:	2016
发表日期:	2016-12-9
卷:	11, 期:12
语种:	英语
英文关键词:	Traffic safety ; Generalized linear model ; Normal distribution ; Optimization ; Random variables ; Software design ; Software tools ; Topographic maps
英文摘要:	Understanding why a random variable is actually random has been in the core of Statistics from its beginnings. The generalized Waring regression model for count data explains that inherent variability is given by three possible sources: randomness, liability and proneness. The model extends the negative binomial regression model and it is not included in the family of generalized linear models. In order to avoid that shortcoming, we developed the GWRM R package for fitting, describing and validating the model. The version we introduce in this communication provides a new design of the modelling function as well as new methods operating on the associated fitted model objects, so that the new software integrates easily into the computational toolbox for modelling count data in R. The release of a plug-in in order to use the package from the interface R Commander tries to contribute to the spreading of the model among non-advanced users. We illustrate the usage and the possibilities of the software with two examples from the fields of health and sport.
URL:	http://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0167570&type=printable
Citation statistics:
资源类型:	期刊论文
标识符:	http://119.78.100.158/handle/2HF3EXSE/23407
Appears in Collections:	过去全球变化的重建影响、适应和脆弱性科学计划与规划气候变化与战略全球变化的国际研究计划气候减缓与适应气候变化事实与影响

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File Name/ File Size	Content Type	Version	Access	License
journal.pone.0167570.pdf（2811KB）	期刊论文	作者接受稿	开放获取	CC BY-NC-SA	View 联系获取全文

作者单位:

IES Las Fuentezuelas, Jaén, Spain;Department of Statistics and Operations Research, University of Jaén, Jaén, Spain;Department of Statistics and Operations Research, University of Jaén, Jaén, Spain

Recommended Citation:

Silverio Vílchez-López,Antonio José Sáez-Castillo,María José Olmo-Jiménez. GWRM: An R Package for Identifying Sources of Variation in Overdispersed Count Data[J]. PLOS ONE,2016-01-01,11(12)

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