• Knorm

  • Referenced in 6 articles [sw16562]
  • Knorm correlation has a smaller estimation variance. The Knorm is also asymptotically consistent with ... Knorm correlation is computed based on the estimated experiment correlation matrix by an iterative estimation...
  • corpcor

  • Referenced in 15 articles [sw10199]
  • type shrinkage estimator for the covariance matrix, with separate shrinkage for variances and correlations ... package also provides shrinkage estimators for partial correlations and partial variances. The inverse...
  • MAVE

  • Referenced in 5 articles [sw38410]
  • dimension reduction, using MAVE (Minimum Average Variance Estimation), OPG (Outer Product of Gradient) and KSIR...
  • MORET

  • Referenced in 5 articles [sw24191]
  • convergence, statistical detection of stationarity, unbiased variance estimation and creation of pre-processing and post...
  • MethylSig

  • Referenced in 4 articles [sw23506]
  • improve group methylation level and/or variance estimation for experiments with small sample size. A permutation...
  • clubSandwich

  • Referenced in 3 articles [sw16084]
  • package clubSandwich. Provides several cluster-robust variance estimators (i.e., sandwich estimators) for ordinary and weighted ... performance. The package includes functions for estimating the variance- covariance matrix and for testing single...
  • CVarE

  • Referenced in 2 articles [sw41271]
  • package CVarE: Conditional Variance Estimator for Sufficient Dimension Reduction. Implementation of the CVE (Conditional Variance ... Estimation) method proposed by Fertl, L. and Bura ... ECVE (Ensemble Conditional Variance Estimation) method introduced in Fertl, L. and Bura...
  • sspir

  • Referenced in 6 articles [sw24865]
  • functions for Kalman filtering and smoothing. Estimation of variance matrices can be performed using...
  • MIXNO

  • Referenced in 9 articles [sw10546]
  • data. MIXNO uses marginal maximum likelihood estimation, utilizing a Fisher-scoring solution. For the scoring ... factor of the random-effects variance-covariance matrix is estimated along with the (fixed) effects...
  • bernor

  • Referenced in 10 articles [sw19665]
  • infinity simultaneously. Plug-in estimates of the asymptotic variance are provided for constructing confidence regions...
  • SVYLORENZ

  • Referenced in 2 articles [sw31882]
  • Stata module to derive distribution-free variance estimates from complex survey data, of quantile group ... group shares. svylorenz computes distribution-free variance estimates for quantile group shares of a total...
  • svr

  • Referenced in 2 articles [sw09334]
  • survey data using replication methods for variance estimation. The available methods are balanced repeated replication ... commands. The suite includes commands to estimate means, totals, and ratios; regression-style models (including ... command to produce replication-based variance estimates for any command that accepts weight...
  • nnmatch

  • Referenced in 3 articles [sw37362]
  • Stata. The nnmatch command allows you to estimate the average effect for all units ... adjustment; and to use heteroskedastic-robust variance estimators...
  • DiagTest3Grp

  • Referenced in 3 articles [sw11050]
  • stochastically with disease severity. Point estimates, variance, confidence interval and optimal cut-points both under ... diagnostic test. Sample size is calculated to estimate the summary measures within a user-specified...
  • colcor

  • Referenced in 5 articles [sw12289]
  • column dependence when rows are correlated and estimating the strength of the row correlation. Microarray ... variance determine the bias and variance of FDR estimates. Efron (2009b) has shown that ... columns of X are independent, the variance of the empirical cdf of Z only depends ... dependence, and give a conservative (upwardly biased) estimator for the mean-squared row correlation...
  • REPEST

  • Referenced in 2 articles [sw25109]
  • complex survey designs in the estimation of sampling variances. It is specially designed ... where plausible values are used, the average estimator across plausible values is reported ... imputation error is added to the variance estimator...
  • convoSPAT

  • Referenced in 8 articles [sw15289]
  • anisotropy, nugget variance, and process variance. The parameters are estimated via maximum likelihood, using...
  • roc

  • Referenced in 2 articles [sw37359]
  • assessment of three common algorithms for estimating the variance of the area under the nonparametric ... fitting of the ROC curve provide direct estimates of the area under ... curve and its variance. Nonparametric methods, on the other hand, provide estimates of the area ... curve, but do not directly estimate its variance. Three algorithms for computing the variance...
  • repolr

  • Referenced in 10 articles [sw07133]
  • algorithm developed estimates the correlation parameter, by minimizing the generalized variance of the regression parameters ... fitting algorithm. Methods for parameter estimation are described for the widely used uniform and first...
  • vsn

  • Referenced in 30 articles [sw06105]
  • Variance stabilization and calibration for microarray data Bioconductor version: Release (2.10) The package implements ... robust variant of the maximum-likelihood estimator for the stochastic model of microarray data described ... model for the dependence of the variance on the mean intensity, and a variance stabilizing...