• SAS/STAT

• Referenced in 436 articles [sw18788]
• SAS/STAT software, a component of the SAS System, provides comprehensive statistical tools for a wide ... range of statistical analyses, including analysis of variance, regression, categorical data analysis, multivariate analysis, survival...

• Mixmod

• Referenced in 37 articles [sw06991]
• according to different assumptions regarding the component variance matrix eigenvalue decomposition. Moreover, different information criteria ... parsimonious model (the number of mixture components, for instance) are included, their suitability depending...

• GEMMA

• Referenced in 5 articles [sw23999]
• REML AI algorithm to estimate variance components when individual-level data are available. It uses ... estimate variance components when only summary statisics are available...

• mixOmics

• Referenced in 29 articles [sw09508]
• Discriminant Analysis, Independent Principal Component Analysis and multilevel analysis using variance decomposition of the data...

• npmlreg

• Referenced in 7 articles [sw08191]
• overdispersed generalized linear models and variance component models...

• PracTools

• Referenced in 7 articles [sw28559]
• stage sample designs. Other functions compute variance components for multistage designs and sample sizes...

• mlirt

• Referenced in 6 articles [sw24922]
• Practice with the Package mlirt. Variance component models are generally accepted for the analysis...

• robustlmm

• Referenced in 6 articles [sw23530]
• Individual parts (e.g., fixed effects and variance components) can be tuned independently. In this tutorial...

• refund

• Referenced in 63 articles [sw07434]
• functional data using principal components. Functional principal components (FPC) analysis is widely used to decompose ... used to construct curve estimates and variances conditional on a specific decomposition. Iterated expectation ... variance formulas combine model-based conditional estimates across the distribution of decompositions. A bootstrap procedure ... implemented to understand the uncertainty in principal component decomposition quantities. Our method compares favorably...

• numericaluniversality

• Referenced in 13 articles [sw18977]
• random variable, called the halting time. Two-component universality is observed for the fluctuations ... sample average and scaled by the sample variance, collapses to a universal curve, independent ... components -- the sample average and the sample variance -- the statistics for the halting time...

• Survey

• Referenced in 52 articles [sw08163]
• stratified, cluster-sampled, unequally weighted survey samples. Variances by Taylor series linearisation or replicate weights ... direct standardization. PPS sampling without replacement. Principal components, factor analysis...

• VARCL

• Referenced in 3 articles [sw26355]
• VARCL: Software for variance component analysis of data with nested random effects (maximum likelihood...

• compositions

• Referenced in 24 articles [sw00150]
• principal component analysis (using biplots), cluster analysis with Aitchison distance, analysis of variance (ANOVA...

• abc-sde

• Referenced in 3 articles [sw24744]
• partially observed systems are easily accommodated. Variance components for the ”measurement error” affecting the data/observations...

• TripleR

• Referenced in 3 articles [sw16006]
• variables. Within-group t-tests for variance components and covariances are provided for single groups...

• ADE-4

• Referenced in 8 articles [sw14077]
• methods (using a total variance decomposition into local and global components, analogous to Moran...

• varComp

• Referenced in 1 article [sw31435]
• package varComp: Variance Component Models. Variance component models: REML estimation, testing fixed effect contrasts through ... Roger methods, testing the nullity of variance components through (linear or quadratic) score tests...

• qrNLMM

• Referenced in 2 articles [sw15130]
• results for the fixed-effects and variance components. It also provides graphical summaries for assessing...

• Rgbp

• Referenced in 2 articles [sw18040]
• model parameters including second-level variance component, regression coefficients, and random effect. For the Binomial...

• FFBSKAT

• Referenced in 2 articles [sw23136]
• This software implements a score-based variance component test to assess the association...