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Log Likelihood Ratios for Common Statistical Tests Using the likelihoodR Package 使用Likelihood dr软件包进行常见统计检验的对数似然比
4区 计算机科学
R Journal Pub Date : 2023-01-13 DOI: 10.32614/rj-2022-051
Peter Cahusac
{"title":"Log Likelihood Ratios for Common Statistical Tests Using the likelihoodR Package","authors":"Peter Cahusac","doi":"10.32614/rj-2022-051","DOIUrl":"https://doi.org/10.32614/rj-2022-051","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":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135898003","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Limitations in Detecting Multicollinearity due to Scaling Issues in the mcvis Package mcvis封装中缩放问题对多重共线性检测的限制
IF 2.1 4区 计算机科学
R Journal Pub Date : 2023-01-01 DOI: 10.32614/rj-2023-010
Román Salmerón-Gómez, Catalina García-García, A. Rodríguez-Sánchez, C. Garcia
{"title":"Limitations in Detecting Multicollinearity due to Scaling Issues in the mcvis Package","authors":"Román Salmerón-Gómez, Catalina García-García, A. Rodríguez-Sánchez, C. Garcia","doi":"10.32614/rj-2023-010","DOIUrl":"https://doi.org/10.32614/rj-2023-010","url":null,"abstract":"","PeriodicalId":51285,"journal":{"name":"R Journal","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69959429","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
knitrdata: A Tool for Creating Standalone Rmarkdown Source Documents knitrdata:一个创建独立markdown源文档的工具
IF 2.1 4区 计算机科学
R Journal Pub Date : 2023-01-01 DOI: 10.32614/rj-2023-001
D. M. Kaplan
{"title":"knitrdata: A Tool for Creating Standalone Rmarkdown Source Documents","authors":"D. M. Kaplan","doi":"10.32614/rj-2023-001","DOIUrl":"https://doi.org/10.32614/rj-2023-001","url":null,"abstract":"","PeriodicalId":51285,"journal":{"name":"R Journal","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69959067","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
ppseq: An R Package for Sequential Predictive Probability Monitoring ppseq:序列预测概率监测的R包
IF 2.1 4区 计算机科学
R Journal Pub Date : 2023-01-01 DOI: 10.32614/rj-2023-017
E. Zabor, Brian Hobbs, Michael J. Kane
{"title":"ppseq: An R Package for Sequential Predictive Probability Monitoring","authors":"E. Zabor, Brian Hobbs, Michael J. Kane","doi":"10.32614/rj-2023-017","DOIUrl":"https://doi.org/10.32614/rj-2023-017","url":null,"abstract":"","PeriodicalId":51285,"journal":{"name":"R Journal","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69959486","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
rassta: Raster-Based Spatial Stratification Algorithms rassta:基于光栅的空间分层算法
IF 2.1 4区 计算机科学
R Journal Pub Date : 2022-10-10 DOI: 10.32614/rj-2022-036
Bryan A. Fuentes, Minerva J. Dorantes, John R. Tipton
{"title":"rassta: Raster-Based Spatial Stratification Algorithms","authors":"Bryan A. Fuentes, Minerva J. Dorantes, John R. Tipton","doi":"10.32614/rj-2022-036","DOIUrl":"https://doi.org/10.32614/rj-2022-036","url":null,"abstract":"","PeriodicalId":51285,"journal":{"name":"R Journal","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2022-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48152114","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
ICAOD: An R Package for Finding Optimal designs for Nonlinear Statistical Models by Imperialist Competitive Algorithm. 用帝国主义竞争算法寻找非线性统计模型最优设计的R包。
IF 2.1 4区 计算机科学
R Journal Pub Date : 2022-09-01 DOI: 10.32614/rj-2022-043
Ehsan Masoudi, Heinz Holling, Weng Kee Wong, Seongho Kim
{"title":"ICAOD: An R Package for Finding Optimal designs for Nonlinear Statistical Models by Imperialist Competitive Algorithm.","authors":"Ehsan Masoudi,&nbsp;Heinz Holling,&nbsp;Weng Kee Wong,&nbsp;Seongho Kim","doi":"10.32614/rj-2022-043","DOIUrl":"https://doi.org/10.32614/rj-2022-043","url":null,"abstract":"<p><p>Optimal design ideas are increasingly used in different disciplines to rein in experimental costs. Given a nonlinear statistical model and a design criterion, optimal designs determine the number of experimental points to observe the responses, the design points and the number of replications at each design point. Currently, there are very few free and effective computing tools for finding different types of optimal designs for a general nonlinear model, especially when the criterion is not differentiable. We introduce an R package ICAOD to find various types of optimal designs and they include locally, minimax and Bayesian optimal designs for different nonlinear statistical models. Our main computational tool is a novel metaheuristic algorithm called imperialist competitive algorithm (ICA) and inspired by socio-political behavior of humans and colonialism. We demonstrate its capability and effectiveness using several applications. The package also includes several theory-based tools to assess optimality of a generated design when the criterion is a convex function of the design.</p>","PeriodicalId":51285,"journal":{"name":"R Journal","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9912186/pdf/nihms-1865401.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10708621","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
metapack: An R Package for Bayesian Meta-Analysis and Network Meta-Analysis with a Unified Formula Interface. metapack：带有统一公式界面的贝叶斯元分析和网络元分析 R 软件包。
IF 2.1 4区 计算机科学
R Journal Pub Date : 2022-09-01 Epub Date: 2022-12-19 DOI: 10.32614/rj-2022-047
Daeyoung Lim, Ming-Hui Chen, Joseph G Ibrahim, Sungduk Kim, Arvind K Shah, Jianxin Lin
{"title":"metapack: An R Package for Bayesian Meta-Analysis and Network Meta-Analysis with a Unified Formula Interface.","authors":"Daeyoung Lim, Ming-Hui Chen, Joseph G Ibrahim, Sungduk Kim, Arvind K Shah, Jianxin Lin","doi":"10.32614/rj-2022-047","DOIUrl":"10.32614/rj-2022-047","url":null,"abstract":"<p><p>Meta-analysis, a statistical procedure that compares, combines, and synthesizes research findings from multiple studies in a principled manner, has become popular in a variety of fields. Meta-analyses using study-level (or equivalently <i>aggregate</i>) data are of particular interest due to data availability and modeling flexibility. In this paper, we describe an R package <b>metapack</b> that introduces a unified formula interface for both meta-analysis and network meta-analysis. The user interface-and therefore the package-allows flexible variance-covariance modeling for multivariate meta-analysis models and univariate network meta-analysis models. Complicated computing for these models has prevented their widespread adoption. The package also provides functions to generate relevant plots and perform statistical inferences like model assessments. Use cases are demonstrated using two real data sets contained in <b>metapack</b>.</p>","PeriodicalId":51285,"journal":{"name":"R Journal","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10168678/pdf/nihms-1894279.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9820786","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
APCI: An R and Stata Package for Visualizing and Analyzing Age-Period-Cohort Data. APCI：用于可视化和分析年龄-时期-队列数据的 R 和 Stata 软件包。
IF 2.3 4区 计算机科学
R Journal Pub Date : 2022-06-01 Epub Date: 2022-10-10 DOI: 10.32614/rj-2022-026
Jiahui Xu, Liying Luo
{"title":"APCI: An R and Stata Package for Visualizing and Analyzing Age-Period-Cohort Data.","authors":"Jiahui Xu, Liying Luo","doi":"10.32614/rj-2022-026","DOIUrl":"10.32614/rj-2022-026","url":null,"abstract":"<p><p>Social scientists have frequently attempted to assess the relative contribution of age, period, and cohort variables to the overall trend in an outcome. We develop an R package <b>APCI</b> (and Stata command apci) to implement the age-period-cohort-interaction (APC-I) model for estimating and testing age, period, and cohort patterns in various types of outcomes for pooled cross-sectional data and multi-cohort panel data. Package <b>APCI</b> also provides a set of functions for visualizing the data and modeling results. We demonstrate the usage of package <b>APCI</b> with empirical data from the Current Population Survey. We show that package <b>APCI</b> provides useful visualization and analytical tools for understanding age, period, and cohort trends in various types of outcomes.</p>","PeriodicalId":51285,"journal":{"name":"R Journal","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10237519/pdf/nihms-1897512.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9939343","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
reclin2: a Toolkit for Record Linkage and Deduplication reclin2:记录联动和重复数据删除工具箱
IF 2.1 4区 计算机科学
R Journal Pub Date : 2022-01-01 DOI: 10.32614/rj-2022-038
J. Laan
{"title":"reclin2: a Toolkit for Record Linkage and Deduplication","authors":"J. Laan","doi":"10.32614/rj-2022-038","DOIUrl":"https://doi.org/10.32614/rj-2022-038","url":null,"abstract":"","PeriodicalId":51285,"journal":{"name":"R Journal","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69958970","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
iccCounts: An R Package to Estimate the Intraclass Correlation Coefficient for Assessing Agreement with Count Data iccCounts:一个R包来估计类内相关系数，评估与计数数据的一致性
IF 2.1 4区 计算机科学
R Journal Pub Date : 2022-01-01 DOI: 10.32614/rj-2022-034
J. Carrasco
{"title":"iccCounts: An R Package to Estimate the Intraclass Correlation Coefficient for Assessing Agreement with Count Data","authors":"J. Carrasco","doi":"10.32614/rj-2022-034","DOIUrl":"https://doi.org/10.32614/rj-2022-034","url":null,"abstract":"","PeriodicalId":51285,"journal":{"name":"R Journal","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69958825","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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