.png){kind=icon}
返回
good : An R package for modelling count data
.png){kind=icon}
OA
AI
DOI：10.1111/2041-210X.14387.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Organisms-related data often appear as counts. The Poisson distribution is the most popular choice for modelling count data, but this distribution assumes equidispersion, which is usually not satisfied in real-world data. Deviations from the Poisson assumption lead to discrete-valued distributions that can fit over- and/or underdispersion. Although models for count data with over-dispersion have been widely considered in the literature, models for underdispersion-the opposite phenomenon-have received less attention because underdispersion is relatively common only in certain research fields, including ecology. The Good distribution is a flexible option for modelling count data with over-dispersion or underdispersion, although no R packages are available so far offering functionalities such as calculating quantiles, probabilities, etc., of a Good distribution or providing a method for modelling a Good-distributed output based on a number of potential predictors. This paper presents the R package good, which computes the standard probabilistic functions, generates random samples from a population following a Good distribution and estimates the Good regression.
Keyword:
count data
Good distribution
over-dispersion
R package
underdispersion
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
6.2
论文数:
2.9K
被引数:
2.9W
机构
引用论文
Comparison of duplex ultrasound and hemodynamic assessment with computed tomography angiography in patients with arterial thoracic outlet syndrome.png)
Medicine
OAAI
MedicineIF0
OAAI分享收藏Modelling of micro-geometry in elastohydrodynamic lubrication: Low-pressure valleys considerations
PREAI
分享收藏Human immunodeficiency virus (HIV) type 1 Vpr induces differential regulation of T cell costimulatory molecules: Direct effect of Vpr on T cell activation and immune functionVirology
VirologyIF0
PREAI
分享收藏
查看更多内容