# summary.mrs: Summary of a mrs object In jacsor/MRS: Multi-Resolution Scanning for Cross-Sample Differences

## Description

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.

## Usage

 ```1 2 3``` ```## S3 method for class 'mrs' summary(object, rho = 0.5, abs_eff = 0, sort_by = "eff", ...) ```

## Arguments

 `object` A `mrs` object `rho` Threshold for the posterior alternative probability. All regions with posterior alternative probability larger than `rho` are reported. Default is `rho = 0.5`. `abs_eff` Threshold for the effect size. All regions with effect size larger than `abs_eff` in absolute value are reported. Default is `abs_eff = 0`. `sort_by` Define in which order the regions are reported. The options are `sort_by = c("eff", "prob")` and the default is `sort_by = "eff"`. `...` Additional summary parameters.

## Value

A `list` with information about the top regions.

## References

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

## Examples

 ```1 2 3 4 5 6 7``` ```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 May 18, 2019, 9:05 a.m.