R-universe - mastatlab (MaStatLab)

MRS - Multi-Resolution Scanning for Cross-Sample and Cross-Group Differences

Implements the multi-resolution scanning (MRS) method for cross-sample distribution comparisons, as described in Soriano and Ma (2017) <doi:10.1111/rssb.12180>, and the analysis of distributional variation (ANDOVA) method for cross-group comparisons introduced in Ma and Soriano (2018) <doi:10.1080/10618600.2017.1402774>. Both methods use nonparametric models on multi-resolution partition trees to detect and characterize differences among distributions, with tools for visualizing the results.

Last updated

cpp

4.00 score 30 downloads

PTT - Pólya Tree Type Models

Fits Bayesian nonparametric models based on Pólya tree processes, including adaptive Pólya trees, Markov adaptive Pólya trees, optional Pólya trees, and their conditional-density counterparts. Methods are described in Ma (2017) <doi:10.1214/16-BA1021>, Ma (2017) <doi:10.1214/17-EJS1254>, and Wong and Ma (2010) <doi:10.1214/09-AOS755>.

Last updated

cpp

3.00 score 1 stars

FES - Fisher Exact Scanning for Dependency

Implements Fisher exact scanning (FES), a multiscale test of dependence for continuous or discrete bivariate data. The method scans nested binary partitions using Fisher's exact tests and combines evidence across windows and resolutions with Sidak, Bonferroni, and meta-analysis corrections. The methodology is described in Ma and Mao (2019) <doi:10.1080/01621459.2017.1397522>.

Last updated

2.70 score 1 stars