
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...

VMDAV
 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 withingroup homogeneity should be maximized. In the context ... approach to multivariate microaggregation, which provides variablesized groups (and thus higher withingroup homogeneity...

homals
 Referenced in 12 articles
[sw13953]
 levels (for rank1 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 singlegroup analyses of userspecified structural equation models ... procedures. handle secondorder latent variables in singlegroup 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., betweensubjects and withinsubjects 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 groupeffects ... 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...