
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, allpairs tests (GamesHowell ... 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 nonnormality 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 `clientdrift’ when the data is heterogeneous (noniid), resulting in unstable and slow ... algorithm (SCAFFOLD) which uses control variates (variance reduction) to correct for the `clientdrift ... 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/ locationscale 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...