• copula

  • Referenced in 178 articles [sw14499]
  • multivariate) independence tests, and other copula related tests. Empirical copula and multivariate CDF. Goodness...
  • IndependenceTests

  • Referenced in 33 articles [sw18402]
  • testing mutual independence between many numerical random vectors or serial independence of a multivariate stationary...
  • coin

  • Referenced in 18 articles [sw08381]
  • Permutation Test Framework. Conditional inference procedures for the general independence problem including two-sample ... parametric ANOVA), correlation, censored, ordered and multivariate problems...
  • HHG

  • Referenced in 7 articles [sw16725]
  • Tests of Independence and Equality of Distributions. Heller-Heller-Gorfine (HHG) tests ... powerful statistical tests of multivariate k-sample homogeneity and independence. For the univariate case ... MinP DDP and MinP ADP tests, which are consistent against all continuous alternatives...
  • steadyICA

  • Referenced in 2 articles [sw35833]
  • package steadyICA: ICA and Tests of Independence via Multivariate Distance Covariance. Functions related to multivariate ... components by minimizing distance covariance; -conduct a test of mutual independence based on distance covariance...
  • GeneralisedCovarianceMeasure

  • Referenced in 11 articles [sw35668]
  • conditional independence. It performs nonlinear regressions on the conditioning variable and then tests ... applied to both univariate random variables and multivariate random vectors. Details of the method...
  • npcp

  • Referenced in 10 articles [sw14395]
  • multivariate observations have the same c.d.f. or not. In addition to tests focusing directly ... c.d.f., the package contains tests designed to be particularly sensitive to changes in the underlying ... nonparametric test for detecting changes in the distribution of independent block maxima...
  • lg

  • Referenced in 2 articles [sw32322]
  • implementing locally Gaussian multivariate density estimation, conditional density estimation, various independence tests...
  • copent

  • Referenced in 1 article [sw33918]
  • mathematical concept for multivariate statistical independence measuring and testing, and proved to be equivalent...
  • SpatialNP

  • Referenced in 4 articles [sw10541]
  • contains test and estimates of location, tests of independence, tests of sphericity and several estimates...
  • Phyloseq

  • Referenced in 8 articles [sw13730]
  • methods from ecology, genetics, phylogenetics, multivariate statistics, visualization and testing. With the increased breadth ... difficult (or impossible) for peer researchers to independently reproduce. The vast majority of the requisite...
  • dCovTS

  • Referenced in 1 article [sw27900]
  • correlation function of a univariate or a multivariate time series. Both versions of biased ... correlation are provided. Test statistics for testing pairwise independence are also implemented. Some data sets...
  • ROAST

  • Referenced in 7 articles [sw17318]
  • rely on permutation of probes unrealistically assume independence of genes, while those that rely ... present ROAST, a statistically rigorous gene set test that allows for gene-wise correlation while ... uses rotation, a Monte Carlo technology for multivariate regression. Since the number of rotations does...
  • Tigramite

  • Referenced in 2 articles [sw19594]
  • allows to reconstruct graphical models (conditional independence graphs) from discrete or continuously-valued time series ... results. Features: Analysis can be performed on multivariate time series. Further scripts allow sliding window ... parallelized script (mpi4py package necessary) available; Significance testing via analytical tests or a shuffle test...
  • MDCGen

  • Referenced in 1 article [sw32196]
  • tool for generating multidimensional synthetic datasets for testing, evaluating, and benchmarking unsupervised classification algorithms ... combined for either independently defining values feature by feature (i.e., multivariate distributions) or establishing overall ... potential datasets to perform a more comprehensive testing of clustering algorithms...
  • cpi

  • Referenced in 1 article [sw41086]
  • Testing conditional independence in supervised learning algorithms. We propose the conditional predictive impact ... develop a novel testing procedure that works in conjunction with any valid knockoff sampler, supervised ... causal discovery to identify underlying multivariate graph structures. We test our method using various algorithms ... importance measures and other nonparametric tests of conditional independence on a diverse array of real...
  • FISHER

  • Referenced in 1 article [sw27857]
  • independent data on continuous traits, using maximum likelihood under a multivariate normal assumption. FISHER ... useful statistical tool. Issues related to assumptions, tests‐of‐fit, and robustness of inference...
  • poolr

  • Referenced in 1 article [sw41655]
  • poolr Package for Combining Independent and Dependent p Values. The poolr package provides an implementation ... method, the inverse chisquare method, the binomial test, the Bonferroni method, and Tippett’s method ... among the tests from which the p values have been derived assuming multivariate normality among...
  • pyvine

  • Referenced in 1 article [sw38439]
  • bivariate copulas to construct a number of multivariate distributions that can model a wide range ... Python package, pyvine, for modeling, sampling and testing a more generalized regular vine copula ... testing algorithm first generates Rosenblatt’s transformed data E, then tests the composite hypothesis ... Anderson-Darling statistic, where C* is the independence copula. Bootstrap method will generate the empirical...
  • ARfit

  • Referenced in 38 articles [sw00046]
  • ARfit is a collection of Matlab modules for...