summary.mrs | R Documentation |

This function summarizes the output of the `mrs`

function.
It provides the marginal prior and posterior null and
the top regions of the representative tree.

## S3 method for class 'mrs' summary(object, rho = 0.5, abs_eff = 0, sort_by = "eff", ...)

`object` |
A |

`rho` |
Threshold for the posterior alternative probability.
All regions with posterior alternative probability larger
than |

`abs_eff` |
Threshold for the effect size. All regions with
effect size larger than |

`sort_by` |
Define in which order the regions are reported.
The options are |

`...` |
Additional summary parameters. |

A `list`

with information about the top regions.

Soriano J. and Ma L. (2016).
Probabilistic multi-resolution scanning for two-sample differences.
*Journal of the Royal Statistical Society: Series B (Statistical Methodology)*.
http://onlinelibrary.wiley.com/doi/10.1111/rssb.12180/abstract

Ma L. and Soriano J. (2016).
Analysis of distributional variation through multi-scale Beta-Binomial modeling.
*arXiv*.
http://arxiv.org/abs/1604.01443

set.seed(1) n = 100 p = 2 X = matrix(c(runif(p*n/2),rbeta(p*n/2, 1, 4)), nrow=n, byrow=TRUE) G = c(rep(1,n/2), rep(2,n/2)) object = mrs(X=X, G=G) fit = summary(object, rho = 0.5, abs_eff = 0.1)

jacsor/MRS documentation built on Oct. 12, 2022, 8:33 p.m.

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.