• refund

  • Referenced in 63 articles [sw07434]
  • intervals that account for both model- and decomposition-based variability are constructed. Standard mixed model ... variances conditional on a specific decomposition. Iterated expectation and variance formulas combine model-based conditional...
  • vars

  • Referenced in 35 articles [sw04507]
  • testing, forecasting, causality analysis, forecast error variance decomposition and impulse response functions of VAR models...
  • mixOmics

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

  • Referenced in 37 articles [sw06991]
  • different assumptions regarding the component variance matrix eigenvalue decomposition. Moreover, different information criteria for choosing...
  • ADE-4

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

  • Referenced in 27 articles [sw08174]
  • which provides a decomposition of the model explained variance into non-negative contributions. There...
  • perturb

  • Referenced in 2 articles [sw04531]
  • variables. ”colldiag” calculates condition numbers and variance decomposition proportions to test for collinearity and uncover...
  • ANOVAapprox

  • Referenced in 3 articles [sw40667]
  • multivariate classical analysis of variance (ANOVA) decomposition. For functions with a low-dimensional structure...
  • BVAR

  • Referenced in 1 article [sw40878]
  • impulse responses, calculate forecasts, forecast error variance decompositions and scenarios are available. Several methods...
  • bvartools

  • Referenced in 1 article [sw40881]
  • impulse response analysis and forecast error variance decomposition are largely based on the introductory texts...
  • panelvar

  • Referenced in 1 article [sw41554]
  • impulse response analysis and forecast error variance decompositions...
  • corpor

  • Referenced in 24 articles [sw09381]
  • shrinkage estimators for partial correlations and partial variances. The inverse of the covariance and correlation ... functions are available for fast singular value decomposition, for computing the pseudoinverse, and for checking...
  • FISHER

  • Referenced in 1 article [sw27857]
  • basics of linear regression and decomposition of variance. These concepts have now been united...
  • corpcor

  • Referenced in 15 articles [sw10199]
  • shrinkage estimators for partial correlations and partial variances. The inverse of the covariance and correlation ... functions are available for fast singular value decomposition, for computing the pseudoinverse, and for checking...
  • XTVAR

  • Referenced in 0 articles [sw37483]
  • program also produces Forecast Error Variance Decompositions and Impulse Response Functions. For inference, bootstrap...
  • Shift

  • Referenced in 4 articles [sw18322]
  • variance reduction methods such as the Consistent Adjoint-Driven Importance Sampling methodology, advanced parallel decompositions...
  • gmwm

  • Referenced in 1 article [sw21249]
  • quantity called wavelet variance which is derived from a wavelet decomposition of a time series...
  • DECIS

  • Referenced in 4 articles [sw21978]
  • problem, Monte Carlo sampling within the Benders decomposition algorithm, and Monte Carlo pre-sampling. When ... option of employing crude Monte Carlo without variance reduction techniques, or using as variance reduction...
  • curvclust

  • Referenced in 6 articles [sw07435]
  • method is based on a wavelet decomposition of the signal for both fixed and random ... appropriate structure for the random effect variance, we ensure that both fixed and random effects...
  • PIMD

  • Referenced in 1 article [sw03372]
  • estimators, and high-temperature density matrix (HTDM) decompositions relevant for path integral simulations are discussed ... variance does not increase significantly with $P$. Two non-primitive HTDM decompositions are compared...