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Showing results 1 to 10 of 2,158.


Function equal.kappa.test [circular v0.4-93]
keywords
htest
title
Equal Kappa Test
description
This function tests for the homogeneity of concentration parameters for multiple samples of directional data.
Function mle.vonmises [circular v0.4-93]
keywords
htest
title
von Mises Maximum Likelihood Estimates
description
Computes the maximum likelihood estimates for the parameters of a von Mises distribution: the mean direction and the concentration parameter.
Function mle.vonmises.bootstrap.ci [circular v0.4-93]
keywords
htest
title
Bootstrap Confidence Intervals
description
Generates simple bootstrap confidence intervals for the parameters of a von Mises distribtution: the mean direction mu, and the concentration parameter kappa.
Function mle.wrappedcauchy [circular v0.4-93]
keywords
htest
title
Wrapped Cauchy Maximum Likelihood Estimates
description
Computes the maximum likelihood estimates for the parameters of a Wrapped Cauchy distribution: mean and concentration parameter.
Function mle.wrappednormal [circular v0.4-93]
keywords
htest
title
Wrapped Normal Maximum Likelihood Estimates
description
Computes the maximum likelihood estimates for the parameters of a Wrapped Normal distribution: mean and concentration parameter.
Function change.point [circular v0.4-93]
keywords
htest
title
Change Point Test
description
Tests for a change in mean direction, concentration, or both, given a set of directional data points.
Function watson.two.test [circular v0.4-93]
keywords
htest
title
Watson's Two-Sample Test of Homogeneity
description
Performs Watson's test for homogeneity on two samples of circular data.
Function kuiper.test [circular v0.4-93]
keywords
htest
title
Kuiper's Test
description
Performs Kuiper's one-sample test of uniformity on the circle.
Function rao.test [circular v0.4-93]
keywords
htest
title
Rao's Tests for Homogeneity
description
Performs Rao's test for homogeneity on k populations of angular data.
Function rayleigh.test [circular v0.4-93]
keywords
htest
title
Rayleigh Test of Uniformity
description
Performs a Rayleigh test of uniformity, assessing the significance of the mean resultant length. The alternative hypothesis is a unimodal distribution with unknown mean direction and unknown mean resultant length if mu is NULL otherwise the alternative hypothesis is a unimodal distribution with a specified mean direction and unknown mean resultant length.