• OSCAR

• Referenced in 46 articles [sw03026]
• regression), is proposed to simultaneously select variables while grouping them into predictive clusters. In addition ... further to discover what contributes to the group having a similar behavior. The technique ... compare favorably to the existing shrinkage and variable selection techniques in terms of both prediction ... model complexity, while yielding the additional grouping information...

• AFMULT

• Referenced in 21 articles [sw08201]
• Multiple Factor Analysis (MFA) studies several groups of variables (numerical and/or categorical) defined ... methods as: factor analysis in which groups of variables are weighted, canonical analysis, Procrustes analysis...

• COSA

• Referenced in 47 articles [sw22936]
• preferentially cluster on subsets of the attribute variables rather than on all of them simultaneously ... especially low cardinality groups clustering on a small subset of variables are discussed. Applications...

• MINOTAUR

• Referenced in 18 articles [sw06268]
• results for an approach based on grouping the variables into subsets that cover all multilinear...

• GlobalAncova

• Referenced in 7 articles [sw30019]
• Bioconductor/R package GlobalAncova: Global test for groups of variables via model comparisons. The association between ... variable of interest (e.g. two groups ... global pattern of a group of variables (e.g. a gene set) is tested ... framework is generalized to groups of categorical variables or even mixed data by a likelihood...

• ISUD

• Referenced in 11 articles [sw34491]
• sequence. When there is no entering variable that leads to a better integer solution ... uses a subproblem to find a group of variables to enter into the basis...

• V-MDAV

• Referenced in 5 articles [sw11787]
• MDAV: A multivariate microaggregation with variable group size. Microaggregation is a clustering problem with minimum ... groups is unconstrained and the within-group homogeneity should be maximized. In the context ... approach to multivariate microaggregation, which provides variable-sized groups (and thus higher within-group homogeneity...

• homals

• Referenced in 12 articles [sw13953]
• levels (for rank-1 restrictions). Variables can be grouped into sets, in order to emulate...

• PROC GLM

• Referenced in 8 articles [sw12073]
• divide the observations into discrete groups, or continuous variables. Thus, the GLM procedure...

• doBy

• Referenced in 9 articles [sw09328]
• data is partitioned ’by’ some variables which define groupings of data - hence the name doBy...

• maSigPro

• Referenced in 9 articles [sw11024]
• approach where the experimental groups are identified by dummy variables. The procedure first adjusts ... second a variable selection strategy is applied to study differences between groups and to find...

• RFgroove

• Referenced in 2 articles [sw21043]
• RFgroove: Importance Measure and Selection for Groups of Variables with Random Forests. Variable selection tools ... groups of variables ... functional data based on a new grouped variable importance with random forests...

• GeSCA

• Referenced in 7 articles [sw11467]
• cases and 100 observed variables. GeSCA currently enables users to: use Microsoft® Excel ... xlsx) data files. conduct all single-group analyses of user-specified structural equation models ... procedures. handle second-order latent variables in single-group analyses...

• wskm

• Referenced in 2 articles [sw18037]
• individual variables and the weights on variable groups, and they are calculated during the clustering...

• PROC LIFETEST

• Referenced in 2 articles [sw29282]
• test the samples defined by the GROUP= variable while controlling for the effect...

• qdap

• Referenced in 2 articles [sw33365]
• aggregate data by any number of grouping variables, providing analysis and seamless integration with other...

• samr

• Referenced in 3 articles [sw13903]
• outcome variable, such as a group indicator, quantitative variable or survival time. This...

• prepdat

• Referenced in 1 article [sw27173]
• dependent variable. Most suitable when measuring variables in an interval or ratio scale (e.g., reaction ... dataset according to any combination of grouping variables (i.e., between-subjects and within-subjects independent ... variables, respectively), and returns a data frame with a number of dependent measures for further ... according to the combination of provided grouping variables. Dependent measures for each cell include among...

• mlirt

• Referenced in 6 articles [sw24922]
• other model parameters. The variability of the relationships across groups and the group-effects ... taking the measurement error in the dependent variable of the model into account. The multilevel...

• ordPens

• Referenced in 4 articles [sw08178]
• smoothing of ordinally scaled independent variables using a group lasso or generalized ridge penalty...