
SAS/STAT
 Referenced in 393 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 35 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 4 articles
[sw23999]
 REML AI algorithm to estimate variance components when individuallevel data are available. It uses ... estimate variance components when only summary statisics are available...

mixOmics
 Referenced in 22 articles
[sw09508]
 Discriminant Analysis, Independent Principal Component Analysis and multilevel analysis using variance decomposition of the data...

PracTools
 Referenced in 4 articles
[sw28559]
 stage sample designs. Other functions compute variance components for multistage designs and sample sizes...

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...

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

robustlmm
 Referenced in 3 articles
[sw23530]
 Individual parts (e.g., fixed effects and variance components) can be tuned independently. In this tutorial...

Survey
 Referenced in 45 articles
[sw08163]
 stratified, clustersampled, unequally weighted survey samples. Variances by Taylor series linearisation or replicate weights ... direct standardization. PPS sampling without replacement. Principal components, factor analysis...

numericaluniversality
 Referenced in 9 articles
[sw18977]
 random variable, called the halting time. Twocomponent 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 36 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 modelbased conditional estimates across the distribution of decompositions. A bootstrap procedure ... implemented to understand the uncertainty in principal component decomposition quantities. Our method compares favorably...

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...

TripleR
 Referenced in 2 articles
[sw16006]
 variables. Withingroup ttests for variance components and covariances are provided for single groups...

Rgbp
 Referenced in 2 articles
[sw18040]
 model parameters including secondlevel variance component, regression coefficients, and random effect. For the Binomial...

compositions
 Referenced in 17 articles
[sw00150]
 principal component analysis (using biplots), cluster analysis with Aitchison distance, analysis of variance (ANOVA...

VCA
 Referenced in 1 article
[sw16077]
 this package is to perform a variance component analysis (VCA) according to CLSI EP05 ... quadratic forms). The covariance matrix of variance components can be derived, which is used...

ADE4
 Referenced in 6 articles
[sw14077]
 methods (using a total variance decomposition into local and global components, analogous to Moran...

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