{"title":"使用Likelihood dr软件包进行常见统计检验的对数似然比","authors":"Peter Cahusac","doi":"10.32614/rj-2022-051","DOIUrl":null,"url":null,"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.","PeriodicalId":51285,"journal":{"name":"R Journal","volume":"16 1","pages":"0"},"PeriodicalIF":2.3000,"publicationDate":"2023-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Log Likelihood Ratios for Common Statistical Tests Using the likelihoodR Package\",\"authors\":\"Peter Cahusac\",\"doi\":\"10.32614/rj-2022-051\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":51285,\"journal\":{\"name\":\"R Journal\",\"volume\":\"16 1\",\"pages\":\"0\"},\"PeriodicalIF\":2.3000,\"publicationDate\":\"2023-01-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"R Journal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.32614/rj-2022-051\",\"RegionNum\":4,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"R Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.32614/rj-2022-051","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
Log Likelihood Ratios for Common Statistical Tests Using the likelihoodR Package
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.
R JournalCOMPUTER 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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