Links[{"label":"mand.html","section":"","type":"","url":"https://cran.r-project.org/web/packages/mand/refman/mand.html"},{"label":"mand.pdf","section":"","type":"","url":"https://cran.r-project.org/web/packages/mand/mand.pdf"},{"label":"Overview","section":"","type":"","url":"https://cran.r-project.org/web/packages/mand/vignettes/a_overview.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/mand/vignettes/a_overview.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/mand/vignettes/a_overview.R"},{"label":"1 Introduction","section":"","type":"","url":"https://cran.r-project.org/web/packages/mand/vignettes/b_Introduction.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/mand/vignettes/b_Introduction.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/mand/vignettes/b_Introduction.R"},{"label":"2 Brain Imaging Data","section":"","type":"","url":"https://cran.r-project.org/web/packages/mand/vignettes/c_Brain_Imaging_Data.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/mand/vignettes/c_Brain_Imaging_Data.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/mand/vignettes/c_Brain_Imaging_Data.R"},{"label":"3 Common Statistical Approach","section":"","type":"","url":"https://cran.r-project.org/web/packages/mand/vignettes/d_Common_Statistical_Approach.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/mand/vignettes/d_Common_Statistical_Approach.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/mand/vignettes/d_Common_Statistical_Approach.R"},{"label":"4.1 Matrix Decomposition","section":"","type":"","url":"https://cran.r-project.org/web/packages/mand/vignettes/e_Multivariate_Approach_Matrix_Decomposition.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/mand/vignettes/e_Multivariate_Approach_Matrix_Decomposition.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/mand/vignettes/e_Multivariate_Approach_Matrix_Decomposition.R"},{"label":"4.2 Prediction Model","section":"","type":"","url":"https://cran.r-project.org/web/packages/mand/vignettes/f_Multivariate_Approach_Prediction_Model.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/mand/vignettes/f_Multivariate_Approach_Prediction_Model.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/mand/vignettes/f_Multivariate_Approach_Prediction_Model.R"}]
TextReference manual: mand.html , mand.pdf Vignettes: Overview ( source , R code ) 1 Introduction ( source , R code ) 2 Brain Imaging Data ( source , R code ) 3 Common Statistical Approach ( source , R code ) 4.1 Matrix Decomposition ( source , R code ) 4.2 Prediction Model ( source , R code ) 5 Multi-block Approach ( source , R code )