
SAS/STAT
 Referenced in 236 articles
[sw18788]
 wide range of statistical analyses, including analysis of variance, regression, categorical data analysis, multivariate analysis...

SPOT
 Referenced in 55 articles
[sw06347]
 tuning based on classical regression and analysis of variance techniques; treebased models such...

fda.usc
 Referenced in 20 articles
[sw14011]
 supervised classification, unsupervised classification and functional analysis of variance...

faraway
 Referenced in 17 articles
[sw04357]
 Models with R examined regression and analysis of variance, demonstrated the different methods available...

PROC GLM
 Referenced in 6 articles
[sw12073]
 PROC GLM are regression, analysis of variance, analysis of covariance, multivariate analysis of variance...

OPDOE
 Referenced in 11 articles
[sw12447]
 statistical tests, regression models, tests in analysis of variance models and sequential testing. The capabilities...

CasANOVA
 Referenced in 10 articles
[sw13555]
 Reich (2009): When performing an analysis of variance, the investigator often has two main goals ... comparisons are done via a posthoc analysis based on pairwise differences. This article proposes...

vars
 Referenced in 13 articles
[sw04507]
 selection, diagnostic testing, forecasting, causality analysis, forecast error variance decomposition and impulse response functions...

DEseq
 Referenced in 31 articles
[sw10344]
 Differential gene expression analysis based on the negative binomial distribution. Estimate variancemean dependence...

compositions
 Referenced in 9 articles
[sw00150]
 biplots), cluster analysis with Aitchison distance, analysis of variance (ANOVA) of a dependent composition, some...

mixOmics
 Referenced in 7 articles
[sw09508]
 Independent Principal Component Analysis and multilevel analysis using variance decomposition of the data...

GCTA
 Referenced in 6 articles
[sw23135]
 software tool called genomewide complex trait analysis (GCTA), which was developed based ... missing heritability” problem. GCTA estimates the variance explained by all the SNPs on a chromosome ... relationships from SNPs, mixed linear model analysis of variance explained by the SNPs, estimation...

XVASched
 Referenced in 3 articles
[sw17959]
 Stochastic scheduling. Expectationvariance analysis of a schedule. Stochastic scheduling is in the area...

boxcoxfr
 Referenced in 3 articles
[sw24079]
 normality and/or heterogeneity of variances in analysis of variance (ANOVA). Simulation studies illustrate that...

MAANOVA
 Referenced in 4 articles
[sw08357]
 software package called MAANOVA (MicroArray ANalysis Of VAriance). MAANOVA is a collection of functions...

Survey
 Referenced in 33 articles
[sw08163]
 package survey: analysis of complex survey samples. Summary statistics, twosample tests, generalised linear models ... stratified, clustersampled, unequally weighted survey samples. Variances by Taylor series linearisation or replicate weights ... sampling without replacement. Principal components, factor analysis...

PROC CATMOD
 Referenced in 2 articles
[sw12082]
 continuous data analysis methods. For example, analysis of variance, in the traditional sense, refers ... into various sources. Here, the term analysis of variance is used in a generalized sense...

PROC ANOVA
 Referenced in 1 article
[sw12083]
 ANOVA procedure performs analysis of variance (ANOVA) for balanced data from a wide variety ... experimental designs. In analysis of variance, a continuous response variable, known as a dependent variable ... procedures available in SAS/STAT software for analysis of variance. The ANOVA procedure is designed ... with the following exceptions: oneway analysis of variance, Latin square designs, certain partially balanced...

FAMT
 Referenced in 19 articles
[sw11123]
 variables is modeled by a factor analysis structure. The number of factors considered ... chosen to reduce the false discoveries variance in multiple tests. The model parameters are estimated...

Mixmod
 Referenced in 24 articles
[sw06991]
 purposes of density estimation, clustering or discriminant analysis. A large variety of algorithms to estimate ... according to different assumptions regarding the component variance matrix eigenvalue decomposition. Moreover, different information criteria ... suitability depending on the particular perspective (cluster analysis or discriminant analysis). Written in C++, MIXMOD...