Man pages for ClairBee/AS.circular
ArchStats: circular functions
| bc.ci.boot | Bootstrap confidence interval for sample statistics. |
| bc.ci.LS | Large-sample confidence interval for sample statistics. |
| bc.sample.statistics | Bias-corrected circular sample statistics. |
| circular.c.plot | Plot of circular data |
| cluster.pval.heatmap | Plot cluster-by-cluster heatmap of p-values |
| cluster.quad.tests | Sample statistics of subsets of data, per quadrant. |
| cluster.sample.stats | Sample statistics of subsets of data |
| compare.cluster.dists | Compare all clusters for similar distribution |
| compare.clusters | Compare subsets of data against others |
| cs.unif.scores | Cosine & sine rank scores |
| EM.clusters | Classify points using EM mixture model |
| EM.u.vonmises | Expectation-maximization algorithm for mixture of uniform and... |
| EM.vonmises | Expectation-maximization algorithm for mixture of von Mises... |
| get.moments | Circular sample moments |
| JP.ci.boot | Bootstrap confidence interval for Jones-Pewsey parameter... |
| JP.ci.nt | Normal-theory confidence interval for Jones-Pewsey parameter... |
| JP.df | Jones-Pewsey distribution function |
| JP.GoF | Goodness-of-fit tests for Jones-Pewsey distribution |
| JP.GoF.boot | Bootstrap goodness-of-fit tests for Jones-Pewsey distribution |
| JP.mle | Maximum likelihood estimator for Jones-Pewsey parameters |
| JP.NCon | Jones-Pewsey normalising constant |
| JP.pdf | Jones-Pewsey probability density function |
| JP.PP | Jones-Pewsey P-P plot |
| JP.psi.info | AIC and BIC for Jones-Pewsey against nested models |
| JP.psi.LR.boot | Bootstrap likelihood ratio test for Jones-Pewsey against... |
| JP.psi.LR.test | Likelihood ratio test for Jones-Pewsey against nested models |
| JP.qf | Jones-Pewsey quantile function |
| JP.QQ | Jones-Pewsey Q-Q plot of data |
| JP.sim | Jones-Pewsey simulation function |
| linear.c.plot | Linear plot of circular data |
| MSclust.NB | Mean-shift clustering of circular data: non-blurring mean... |
| MSclust.p.est | Estimate stabilising parameter p for mean-shift clustering of... |
| MSclust.summ | Summarise clusters from a mean-shift clustering |
| mvM.PP | Mixture von Mises P-P plot |
| mww.common.dist.LS | Test for common distribution among multiple samples |
| mww.common.dist.rand | Permutation test for common distribution among multiple... |
| plot.EM.vonmises | Plot mixture von Mises model found by EM algorithm. |
| pooled.mean | Calculate a pooled mean for two or more samples |
| r.symm.test.boot | Bootstrap reflective symmetry test |
| r.symm.test.stat | Reflective symmetry test |
| two.sample.QQ | Two-sample Q-Q plot |
| uniformity.plot | Uniformity plot of data |
| uniformity.tests | Bundle of tests of uniformity |
| vM.GoF | Goodness-of-fit tests for von Mises distribution |
| vM.GoF.boot | Bootstrap goodness-of-fit tests for von Mises distribution |
| vM.PP | von Mises P-P plot |
| vM.QQ | von Mises Q-Q plot |
| wallraff.concentration.test | Wallraff's two-sample test of common concentration |
| watson.common.mean.test | Watson's two-sample test of common mean |
| watson.mean.test.boot | Bootstrap version of Watson's two-sample test of common mean |
| watson.two.test.rand | Permutation test for common distribution between two samples |
