print.summary.mrs: Print summary of a mrs object

In MRS: Multi-Resolution Scanning for Cross-Sample Differences

Description

This function print the summary the output of the mrs function. It provides the marginal prior and posterior of the null and the top regions of the representative tree.

Usage

## S3 method for class 'summary.mrs'
print(x, ...)

Arguments

x	A summary.mrs object
...	Additional print parameters.

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

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))
x = mrs(X=X, G=G)
fit = summary(x, rho = 0.95, abs_eff = 1)
print(fit)

MRS documentation built on May 2, 2019, 1:51 a.m.