• 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...