Log Likelihood Ratios for Common Statistical Tests Using the likelihoodR Package

IF 2.3 4区 计算机科学 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS R Journal Pub Date : 2023-01-13 DOI:10.32614/rj-2022-051
Peter Cahusac
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引用次数: 0

Abstract

The **likelihoodR** package has been developed to allow users to obtain statistics according to the likelihood approach to statistical inference. Commonly used tests are available in the package, such as: *t* tests, ANOVA, correlation, regression and a range of categorical analyses. In addition, there is a sample size calculator for *t* tests, based upon the concepts of strength of evidence, and the probabilities of misleading and weak evidence.
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使用Likelihood dr软件包进行常见统计检验的对数似然比
* * likelihoodR * *包了允许用户获取统计数据根据似然统计推断方法。常用的测试可在包中,如:*t*测试,方差分析,相关,回归和一系列分类分析。此外,还有一个用于*t*测试的样本大小计算器,基于证据强度的概念,以及误导性和弱证据的概率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
R Journal
R Journal COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-STATISTICS & PROBABILITY
CiteScore
2.70
自引率
0.00%
发文量
40
审稿时长
>12 weeks
期刊介绍: The R Journal is the open access, refereed journal of the R project for statistical computing. It features short to medium length articles covering topics that should be of interest to users or developers of R. The R Journal intends to reach a wide audience and have a thorough review process. Papers are expected to be reasonably short, clearly written, not too technical, and of course focused on R. Authors of refereed articles should take care to: - put their contribution in context, in particular discuss related R functions or packages; - explain the motivation for their contribution; - provide code examples that are reproducible.
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