• # copula

• Referenced in 172 articles [sw14499]
• density, distribution, random number generation, bivariate dependence measures, perspective and contour plots. Fitting copula models...
• # multivariance

• Referenced in 7 articles [sw31266]
• package multivariance: Measuring Multivariate Dependence Using Distance Multivariance. Distance multivariance is a measure of dependence ... Ressel, R.L. Schilling, Distance multivariance: New dependence measures for random vectors. . G. Berschneider, B. Böttcher...
• # subcopem2D

• Referenced in 3 articles [sw21334]
• package subcopem2D: A subcopula based dependence measure. A dependence measure for arbitrary type pairs ... sample version of the proposed dependence measure based on the empirical subcopula is provided, along...
• # bfa

• Referenced in 25 articles [sw07430]
• have proven widely useful for parsimoniously characterizing dependence in multivariate data. There is rich literature ... through generalized latent trait models accommodating measurements in the exponential family. However, when generalizing ... Gaussian measured variables, the latent variables typically influence both the dependence structure and the form...
• # HCC-Vis

• Referenced in 3 articles [sw30710]
• While the most common approach to measure dependence between clusters is through pairs of single ... method proposes cluster coherence which measures dependence between pairs of whole clusters rather than between...
• # EDMeasure

• Referenced in 2 articles [sw26279]
• package EDMeasure: Energy-Based Dependence Measures. Implementations of (1) mutual dependence measures and mutual independence ... component analysis methods based on mutual dependence measures in Jin, Z., and Matteson ... /rssb.12235>; (3) conditional mean dependence measures and conditional mean independence tests in Shao...
• # DFTCalc

• Referenced in 4 articles [sw12545]
• widely used methodology here, computing important dependability measures like system reliability. This paper presents DFTCalc ... effective analysis, allowing a wide range of dependability properties to be analysed (3) efficient analysis...
• # OXBench

• Referenced in 7 articles [sw22988]
• utility of any prediction is completely dependent on the accuracy of the alignment. In this ... protein three-dimensional structures together with evaluation measures and software that allow automatically generated alignments ... sequence alignment techniques. Evaluation measures that were dependent on comparison to a reference alignment were...
• # Lattice Builder

• Referenced in 8 articles [sw33929]
• uniformity of the points. The measures currently implemented are all shift-invariant and represent ... spectral test, with projection-dependent weights. Each of these measures can be computed ... algorithm are provided for projection-dependent, order-dependent, and product weights. For numbers of points...
• # WRS2

• Referenced in 30 articles [sw16389]
• implements robust t-tests (independent and dependent samples), robust ANOVA (including between-within subject designs ... nonparametric ANCOVA models based on robust location measures...
• # prepdat

• Referenced in 1 article [sw27173]
• finalized table contains several possibilities for dependent measures of the dependent variable. Most suitable when ... measuring variables in an interval or ratio scale (e.g., reaction-times) and/or discrete values such ... data frame with a number of dependent measures for further analysis for each cell according ... combination of provided grouping variables. Dependent measures for each cell include among others means before...
• # ASIFT

• Referenced in 34 articles [sw02778]
• orientation. Against any prognosis, simulating all views depending on these two parameters is feasible ... that have undergone very large affine distortions measured by a new parameter, the transition tilt...
• # quantspec

• Referenced in 5 articles [sw14419]
• stationary time series is presented. Measures for serial dependence based on copulas or joint distributions ... observations of lag $k$ are introduced. These measures allow for separation of marginal from serial...