• SimComp

  • Referenced in 5 articles [sw11036]
  • sizes are allowed as well as heterogeneous variances (Hasler and Hothorn, 2008) or covariance matrices...
  • nlmeU

  • Referenced in 5 articles [sw07431]
  • presents linear models with homogenous and heterogeneous variance accompanied by examples using...
  • mratios

  • Referenced in 6 articles [sw14522]
  • interval are provided assuming homogeneous or heterogeneous group variances...
  • nlr

  • Referenced in 3 articles [sw31352]
  • case of auto correlated and heterogeneous variance cases, while it include tools to detecting outliers...
  • PMCMRplus

  • Referenced in 2 articles [sw28101]
  • normally distributed residuals and equal within variance are available. Furthermore, all-pairs tests (Games-Howell ... Test) for normally distributed residuals and heterogeneous variances are provided. Van der Waerden’s normal...
  • MetaXL

  • Referenced in 2 articles [sw37192]
  • additional methods available: the inverse variance heterogeneity (IVhet) and Quality Effects (QE) models. In addition...
  • boxcoxfr

  • Referenced in 3 articles [sw24079]
  • issues of non-normality and/or heterogeneity of variances in analysis of variance (ANOVA). Simulation studies...
  • SUBSET

  • Referenced in 1 article [sw26382]
  • criterion. For means, both homogeneous and heterogeneous variance cases are considered. SUBSET offers an alternative ... error control, sample size and heterogeneity of variance do not arise...
  • samplesize

  • Referenced in 1 article [sw36901]
  • designs as well as homogeneous and heterogeneous variances. The Wilcoxon function allows for ties...
  • mixOmics

  • Referenced in 29 articles [sw09508]
  • sparse PLS to unravel relationships between two heterogeneous data sets of size ... Principal Component Analysis and multilevel analysis using variance decomposition of the data...
  • streg

  • Referenced in 6 articles [sw37360]
  • analog to regression models, which account for heterogeneity and random effects. A frailty ... assumed to have unit mean and variance θ, which is estimated along with the other ... model parameters. A frailty model is an heterogeneity model where the frailties are assumed...
  • HSMUCE

  • Referenced in 13 articles [sw27013]
  • change points of the signal in a heterogeneous Gaussian regression model. A piecewise constant function ... which locally adapts to changes in the variance. The multiscale test is a combination ... uniform over a large class of heterogeneous change point models. H‐SMUCE is fast...
  • Rcapture

  • Referenced in 11 articles [sw13992]
  • derived from the loglinear parameter estimates; their variances are obtained by linearization. The novel feature ... several new options for modeling capture probabilities heterogeneity between animals in both closed population models...
  • SCAFFOLD

  • Referenced in 4 articles [sw34100]
  • from `client-drift’ when the data is heterogeneous (non-iid), resulting in unstable and slow ... algorithm (SCAFFOLD) which uses control variates (variance reduction) to correct for the `client-drift ... rounds and is not affected by data heterogeneity or client sampling. Further, we show that...
  • tcs

  • Referenced in 3 articles [sw37154]
  • heterogeneity can be quantified by means of R(I), the proportion of the total variance...
  • HMMTree

  • Referenced in 8 articles [sw08991]
  • provide a framework for modeling parameter heterogeneity. In this article, the computer program HMMTree ... Fisher information, expected category means and variances, and posterior probabilities for class membership. A brief...
  • CensMixReg

  • Referenced in 12 articles [sw21090]
  • modeling and analysis of data from a heterogeneous population. Moreover, data of this kind ... rely on formulas for the mean and variance of the multivariate truncated Student-$t$ distributions...
  • OGLM

  • Referenced in 3 articles [sw14973]
  • ordinal regression model incorrectly assumes that error variances are the same for all cases ... biased. With oglm you can estimate heterogeneous choice/ location-scale models that explicitly specify...
  • BANOVA

  • Referenced in 2 articles [sw16130]
  • BANOVA. It covers several Bayesian Analysis of Variance (BANOVA) models used in analysis of experimental ... multinomial response variables. All models accommodate unobserved heterogeneity by including a normal distribution...
  • LMMPaper

  • Referenced in 1 article [sw40799]
  • linear mixed models. The analysis of longitudinal, heterogeneous or unbalanced clustered data is of primary ... estimates with both lower bias and lower variance than the existing methods...