{"title":"用于广义相关和因果路径的'generalCorr'中R函数的块版本","authors":"H. Vinod","doi":"10.2139/ssrn.3478318","DOIUrl":null,"url":null,"abstract":"Karl Pearson developed the correlation coefficient r(X,Y) in 1890s vastly underestimates dependence between two series. Vinod(2014} develops new generalized correlation coefficients so that when r*(Y|X) > r*(X|Y) then X is the \"kernel cause'' of Y. Vinod (2015) reports simulations favoring kernel causality. An R software package called 'generalCorr' (at r-project.org) computes generalized correlations, partial correlations, and plausible causal paths. This short paper describes the block versions of various R functions newly added to the 'generalCorr' package in October 2019. Newly published Vinod (2019) has the latest rendering of the theory behind causal paths including theorems with proofs. The function 'causeSummBlk(.)' is recommended for practitioners.","PeriodicalId":11754,"journal":{"name":"ERN: Other Macroeconomics: Aggregative Models (Topic)","volume":"57 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2019-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Block Versions of R functions in 'generalCorr' for Generalized Correlations and Causal Paths\",\"authors\":\"H. Vinod\",\"doi\":\"10.2139/ssrn.3478318\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Karl Pearson developed the correlation coefficient r(X,Y) in 1890s vastly underestimates dependence between two series. Vinod(2014} develops new generalized correlation coefficients so that when r*(Y|X) > r*(X|Y) then X is the \\\"kernel cause'' of Y. Vinod (2015) reports simulations favoring kernel causality. An R software package called 'generalCorr' (at r-project.org) computes generalized correlations, partial correlations, and plausible causal paths. This short paper describes the block versions of various R functions newly added to the 'generalCorr' package in October 2019. Newly published Vinod (2019) has the latest rendering of the theory behind causal paths including theorems with proofs. The function 'causeSummBlk(.)' is recommended for practitioners.\",\"PeriodicalId\":11754,\"journal\":{\"name\":\"ERN: Other Macroeconomics: Aggregative Models (Topic)\",\"volume\":\"57 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-11-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ERN: Other Macroeconomics: Aggregative Models (Topic)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2139/ssrn.3478318\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ERN: Other Macroeconomics: Aggregative Models (Topic)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.3478318","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Block Versions of R functions in 'generalCorr' for Generalized Correlations and Causal Paths
Karl Pearson developed the correlation coefficient r(X,Y) in 1890s vastly underestimates dependence between two series. Vinod(2014} develops new generalized correlation coefficients so that when r*(Y|X) > r*(X|Y) then X is the "kernel cause'' of Y. Vinod (2015) reports simulations favoring kernel causality. An R software package called 'generalCorr' (at r-project.org) computes generalized correlations, partial correlations, and plausible causal paths. This short paper describes the block versions of various R functions newly added to the 'generalCorr' package in October 2019. Newly published Vinod (2019) has the latest rendering of the theory behind causal paths including theorems with proofs. The function 'causeSummBlk(.)' is recommended for practitioners.
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