
BIONJ
 Referenced in 30 articles
[sw08301]
 cluster of these taxa, and reducing the distance matrix by replacing both taxa by this ... model of the variances and covariances of evolutionary distance estimates. This model is well adapted...

sna
 Referenced in 23 articles
[sw07318]
 node and graphlevel indices, structural distance and covariance methods, structural equivalence detection, network regression...

mipmatch
 Referenced in 17 articles
[sw06773]
 attempt to achieve covariate balance by minimizing the total sum of distances between treated units ... distances and a weighted sum of specific measures of covariate imbalance, or by minimizing ... total sum of distances while constraining the measures of imbalance to be less than ... multivariate moments, such as correlations between covariates; differences in quantiles; and differences in statistics, such...

latentnet
 Referenced in 21 articles
[sw10550]
 functions of observed dyadic level covariates. In latentnet social distances are represented in a Euclidean...

spatstat
 Referenced in 143 articles
[sw04429]
 Point Patterns, including multitype/marked points and spatial covariates, in any twodimensional spatial region. Also ... Exploratory methods include Kfunctions, nearest neighbour distance and empty space statistics, Fry plots, pair ... Models may include dependence on covariates, interpoint interaction, cluster formation and dependence on marks. Fitted...

multivariance
 Referenced in 7 articles
[sw31266]
 Detecting independence of random vectors: generalized distance covariance and Gaussian covariance. VMSTA ... Böttcher, M. KellerRessel, R.L. Schilling, Distance multivariance: New dependence measures for random vectors...

SAFD
 Referenced in 14 articles
[sw14547]
 well as for calculating (Bertoluzza) distance, sample variance, sample covariance, and the DempsterShafer (levelwise...

steadyICA
 Referenced in 2 articles
[sw35833]
 Tests of Independence via Multivariate Distance Covariance. Functions related to multivariate measures of independence ... estimate independent components by minimizing distance covariance; conduct a test of mutual independence based ... distance covariance; estimate independent components via infomax (a popular method but generally performs poorer than...

dCovTS
 Referenced in 1 article
[sw27900]
 package dCovTS: Distance Covariance and Correlation for Time Series Analysis. Computing and plotting the distance ... covariance and correlation function of a univariate or a multivariate time series. Both versions ... biased and unbiased estimators of distance covariance and correlation are provided. Test statistics for testing...

CovTools
 Referenced in 2 articles
[sw26709]
 covariance structures, topics including distance measures, mean covariance estimator, covariance hypothesis test for onesample...

pgraph
 Referenced in 1 article
[sw33627]
 implemented. Both Pearson correlation and distance covariance options are available to generate the graph...

unmarked
 Referenced in 10 articles
[sw14405]
 such as point counts, site occupancy sampling, distance sampling, removal sampling, and double observer sampling ... processes can be modeled as functions of covariates...

mrds
 Referenced in 2 articles
[sw16309]
 abundance estimation via conventional, multiple covariate and markrecapture distance sampling (CDS/MCDS/MRDS). Detection function fitting...

PhyloMCOA
 Referenced in 2 articles
[sw18727]
 ordinations (i.e., derived from distance matrices) that maximize a covariance function. The method is freely...

LinRegOutliers
 Referenced in 1 article
[sw36500]
 linear regression. The package also implements robust covariance matrix estimation and graphing functions which ... used to visualize the regression residuals and distances between observations, with many possible metrics ... Euclidean or Mahalanobis distances with either given or estimated covariance matrices). Our package implements many...

spTest
 Referenced in 4 articles
[sw19766]
 other words, whether or not the spatial covariance function is isotropic. Isotropy implies that spatial ... dependence is a function of only the distance and not the direction of the spatial ... more desirable. To avoid specification of the covariance function, a number of nonparametric tests...

RILogo
 Referenced in 1 article
[sw17139]
 measures that weigh the covariance information by the evolutionary distances of the aligned sequences...

blockCV
 Referenced in 1 article
[sw34235]
 autocorrelation in continuous raster covariates to find an initial realistic distance band to separate training...

EASY  FIT
 Referenced in 9 articles
[sw05976]
 times and measurements, the minimum least squares distances of measured data from a fitting criterion ... confidence intervals for estimated parameters, correlation and covariance matrix, identification of significance levels for estimated...

mads
 Referenced in 1 article
[sw28684]
 package mads: MultiAnalysis Distance Sampling. Performs distance sampling analyses on a number of species ... accounting for unidentified sightings, model uncertainty and covariate uncertainty...