• # 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...
• # 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...
• # CensMixReg

• Referenced in 5 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 3 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...
• # TATES

• Referenced in 3 articles [sw20044]
• value, while correcting for correlations between components. Extensive simulations, probing a wide variety of genotype ... detect causal variants explaining 0.5% of the variance can be 2.5-9 times higher than...
• # RepExplore

• Referenced in 1 article [sw30166]
• information captured in the technical replicate variance to provide more reliable and informative differential expression ... tables, whisker plot, heat map and principal component analysis visualizations to interpret omics data...
• # hoggorm

• Referenced in 1 article [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...
• # Optimal-SPCA

• Referenced in 2 articles [sw31821]
• analysis. This paper addresses the sparse principal component analysis (SPCA) problem for covariance matrices ... those methods, explaining a higher portion of variance and permitting complete control over the desired...
• # r.jive

• Referenced in 1 article [sw15459]
• three plotting functions for visualizing the variance attributed to each data source: a bar plot ... structure of the variability, and principal component plots...