| FactoMineR: an R package for multivariate analysis S Lê, J Josse, F Husson Journal of statistical software 25 (1), 1-18, 2008 | 4124 | 2008 |
| FactoMineR: multivariate exploratory data analysis and data mining with R F Husson, J Josse, S Le, J Mazet R package version 1 (1.29), 2013 | 654 | 2013 |
| missMDA: a package for handling missing values in multivariate data analysis J Josse, F Husson Journal of Statistical Software 70 (1), 1-31, 2016 | 338 | 2016 |
| Principal component methods-hierarchical clustering-partitional clustering: why would we need to choose for visualizing data F Husson, J Josse, J Pages Applied Mathematics Department, 1-17, 2010 | 337 | 2010 |
| Testing the significance of the RV coefficient J Josse, J Pagès, F Husson Computational Statistics & Data Analysis 53 (1), 82-91, 2008 | 219 | 2008 |
| Handling missing values in exploratory multivariate data analysis methods J Josse, F Husson Journal de la Société Française de Statistique 153 (2), 79-99, 2012 | 215 | 2012 |
| Selecting the number of components in principal component analysis using cross-validation approximations J Josse, F Husson Computational Statistics & Data Analysis 56 (6), 1869-1879, 2012 | 180 | 2012 |
| FactoMineR: factor analysis and data mining with R F Husson, J Josse, S Le, J Mazet R package version 1 (04), 2007 | 165* | 2007 |
| Principal component analysis with missing values: a comparative survey of methods S Dray, J Josse Plant Ecology 216 (5), 657-667, 2015 | 100 | 2015 |
| Handling missing values with regularized iterative multiple correspondence analysis J Josse, M Chavent, B Liquet, F Husson Journal of classification 29 (1), 91-116, 2012 | 96 | 2012 |
| Statistiques avec R PA Cornillon, F Husson, N Jégou, E Matzner-Lober, J Josse, A Guyader, ... Lectures, Les livres, 2012 | 96 | 2012 |
| Package ‘FactoMineR’ F Husson, J Josse, S Le, J Mazet, MF Husson An R package 96, 698, 2016 | 92 | 2016 |
| Multiple imputation in principal component analysis J Josse, J Pagès, F Husson Advances in data analysis and classification 5 (3), 231-246, 2011 | 91 | 2011 |
| A principal component method to impute missing values for mixed data V Audigier, F Husson, J Josse Advances in Data Analysis and Classification 10 (1), 5-26, 2016 | 83 | 2016 |
| Multiple correspondence analysis F Husson, J Josse Visualization and verbalization of data, 165-184, 2014 | 52 | 2014 |
| Measuring multivariate association and beyond J Josse, S Holmes Statistics surveys 10, 132, 2016 | 45 | 2016 |
| Regularised PCA to denoise and visualise data M Verbanck, J Josse, F Husson Statistics and Computing 25 (2), 471-486, 2015 | 41 | 2015 |
| missMDA: Handling missing values with/in multivariate data analysis (principal component methods) F Husson, J Josse R package version 1 (1), 2013 | 41 | 2013 |
| Adaptive shrinkage of singular values J Josse, S Sardy Statistics and Computing 26 (3), 715-724, 2016 | 40 | 2016 |
| Gestion des données manquantes en analyse en composantes principales J Josse, F Husson, J Pagès Journal de la Société Française de Statistique 150 (2), 28-51, 2009 | 39 | 2009 |
François HussonProfessor in StatisticsVerifierad e-postadress på agrocampus-ouest.fr
