• 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...
  • HPMIXED

  • Referenced in 1 article [sw36902]
  • linear mixed models with variance component structure...
  • 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...
  • DMU

  • Referenced in 1 article [sw30486]
  • implements powerful tools to estimate variance components and fixed effects (BLUE) and to predict random...
  • COVAIN

  • Referenced in 1 article [sw10556]
  • friendly way. It covers analysis of variance, principal components analysis, independent components analysis, clustering...
  • NAM

  • Referenced in 0 articles [sw15521]
  • analysis, solving mixed models and finding variance components through REML and Gibbs sampling...
  • infoDecompuTE

  • Referenced in 0 articles [sw19182]
  • table with the coefficients of the variance components for the expected mean squares. Thus...
  • hierfstat

  • Referenced in 0 articles [sw15141]
  • significance of each F and variance components, using the likelihood-ratio statistics...
  • QTLRel

  • Referenced in 0 articles [sw15231]
  • ignored. It can estimate background genetic variance components, impute missing genotypes, simulate genotypes, perform...
  • VARCLUS

  • Referenced in 2 articles [sw14475]
  • first principal component or the centroid component. The following are highlights of the VARCLUS procedure ... maximize the variance that is explained by the cluster components, summed over all the clusters...
  • GW-SEM

  • Referenced in 1 article [sw37731]
  • phenotypes with a large components of stochastic variance. Due to the enormous amount of data...
  • CensMixReg

  • Referenced in 12 articles [sw21090]
  • depending on the structure of the mixture components. We develop an analytically simple, yet efficient ... rely on formulas for the mean and variance of the multivariate truncated Student-$t$ distributions...
  • getRDS

  • Referenced in 6 articles [sw12595]
  • results through simulation demonstrate that the software component produces an accurate point estimates ... M/M/1 queues compared to MT since its variance reduction is over 50 % in some cases...
  • NMath

  • Referenced in 0 articles [sw31945]
  • statistics library from CenterSpace Software provides numerical components for financial, engineering, and scientific applications ... regression, hypothesis tests, analysis of variance (ANOVA), principle component analysis, non-negative matrix factorization...
  • slfm

  • Referenced in 1 article [sw30052]
  • degenerate component at zero and the other using a small variance normal distribution...
  • nsdr

  • Referenced in 1 article [sw41791]
  • methods. Principal Component Analysis (PCA), Sliced Inverse Regression (SIR), and Sliced Average Variance Estimation (SAVE...
  • hoggorm

  • Referenced in 2 articles [sw29403]
  • contains PCA (principal component analysis); PCR (principal component regression); PLSR (partial least squares regression): PLSR1 ... aims at understanding and interpretation of the variance in the data. hoggorm also also contains...
  • AugmentedPCA

  • Referenced in 1 article [sw40917]
  • improved downstream classification performance, produces principal components with greater class fidelity, and facilitates identification ... aligned with the principal axes of data variance with implications to development of specific types...