• SAS/STAT

  • Referenced in 347 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 31 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...
  • npmlreg

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

  • Referenced in 3 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...
  • mlirt

  • Referenced in 4 articles [sw24922]
  • Practice with the Package mlirt. Variance component models are generally accepted for the analysis...
  • VARCL

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

  • Referenced in 3 articles [sw28559]
  • stage sample designs. Other functions compute variance components for multistage designs and sample sizes...
  • mixOmics

  • Referenced in 11 articles [sw09508]
  • Discriminant Analysis, Independent Principal Component Analysis and multilevel analysis using variance decomposition of the data...
  • Survey

  • Referenced in 37 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...
  • abc-sde

  • Referenced in 2 articles [sw24744]
  • partially observed systems are easily accommodated. Variance components for the ”measurement error” affecting the data/observations...
  • TripleR

  • Referenced in 2 articles [sw16006]
  • variables. Within-group t-tests for variance components and covariances are provided for single groups...
  • robustlmm

  • Referenced in 2 articles [sw23530]
  • Individual parts (e.g., fixed effects and variance components) can be tuned independently. In this tutorial...
  • numericaluniversality

  • Referenced in 7 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...
  • refund

  • Referenced in 28 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...
  • compositions

  • Referenced in 13 articles [sw00150]
  • principal component analysis (using biplots), cluster analysis with Aitchison distance, analysis of variance (ANOVA...
  • gtheory

  • Referenced in 1 article [sw26191]
  • Apply Generalizability Theory with R. Estimates variance components, generalizability coefficients, universe scores, and standard errors...
  • cccrm

  • Referenced in 1 article [sw14391]
  • measures. The estimation approaches implemented are variance components and U-statistics approaches...
  • qrLMM

  • Referenced in 1 article [sw24274]
  • results for the fixed-effects and variance components. It also provides graphical summaries for assessing...
  • Rgbp

  • Referenced in 1 article [sw18040]
  • model parameters including second-level variance component, regression coefficients, and random effect. For the Binomial...
  • FFBSKAT

  • Referenced in 1 article [sw23136]
  • This software implements a score-based variance component test to assess the association...