• SAS/STAT

  • Referenced in 226 articles [sw18788]
  • wide range of statistical analyses, including analysis of variance, regression, categorical data analysis, multivariate analysis...
  • SPOT

  • Referenced in 53 articles [sw06347]
  • tuning based on classical regression and analysis of variance techniques; tree-based models such...
  • fda.usc

  • Referenced in 19 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 post-hoc analysis based on pairwise differences. This article proposes...
  • compositions

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

  • Referenced in 30 articles [sw10344]
  • Differential gene expression analysis based on the negative binomial distribution. Estimate variance-mean dependence...
  • vars

  • Referenced in 12 articles [sw04507]
  • selection, diagnostic testing, forecasting, causality analysis, forecast error variance decomposition and impulse response functions...
  • 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 genome-wide 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...
  • XVA-Sched

  • Referenced in 3 articles [sw17959]
  • Stochastic scheduling. Expectation-variance 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...
  • 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...
  • Survey

  • Referenced in 31 articles [sw08163]
  • package survey: analysis of complex survey samples. Summary statistics, two-sample tests, generalised linear models ... stratified, cluster-sampled, unequally weighted survey samples. Variances by Taylor series linearisation or replicate weights ... sampling without replacement. Principal components, factor analysis...
  • 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: one-way analysis of variance, Latin square designs, certain partially balanced...
  • FAMT

  • Referenced in 18 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...