Links[{"label":"cNORM.html","section":"","type":"","url":"https://cran.r-project.org/web/packages/cNORM/refman/cNORM.html"},{"label":"cNORM.pdf","section":"","type":"","url":"https://cran.r-project.org/web/packages/cNORM/cNORM.pdf"},{"label":"Modelling Norms with the Beta-Binomial Distribution","section":"","type":"","url":"https://cran.r-project.org/web/packages/cNORM/vignettes/BetaBinomial.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/cNORM/vignettes/BetaBinomial.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/cNORM/vignettes/BetaBinomial.R"},{"label":"Weighted Regression-Based Norming","section":"","type":"","url":"https://cran.r-project.org/web/packages/cNORM/vignettes/WeightedRegression.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/cNORM/vignettes/WeightedRegression.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/cNORM/vignettes/WeightedRegression.R"},{"label":"Demonstration for Creating Continuous Norms with cNORM","section":"","type":"","url":"https://cran.r-project.org/web/packages/cNORM/vignettes/cNORM-Demo.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/cNORM/vignettes/cNORM-Demo.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/cNORM/vignettes/cNORM-Demo.R"},{"label":"Modelling Norms with the Sinh-Arcsinh (shash) Distribution","section":"","type":"","url":"https://cran.r-project.org/web/packages/cNORM/vignettes/sinh.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/cNORM/vignettes/sinh.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/cNORM/vignettes/sinh.R"}]
TextReference manual: cNORM.html , cNORM.pdf Vignettes: Modelling Norms with the Beta-Binomial Distribution ( source , R code ) Weighted Regression-Based Norming ( source , R code ) Demonstration for Creating Continuous Norms with cNORM ( source , R code ) Modelling Norms with the Sinh-Arcsinh (shash) Distribution ( source , R code )