An R/Bioconfuctor package for association analysis of genomic regions based on permutation tests

Machine learning tools for the analysis of systems serology data

'R6'-Based Flexible Framework for Permutation Tests

Permutation-Based FDR Point and Confidence Interval Estimation

Permutation testing in single cell analysis

Permutation Test for Principal Components Analysis

Permutation Enrichment Testing for Binary Data

Nonparametric analysis of 2020 US presidential elections.

Permutational group-sequential tests for time-to-event data based on the log-rank test statistic.

A novel approach for performing non-parametric two-way ANOVA using a bootstrap permutation method. Built for a student project.

This is the code of a group university project on insurance premiums I took part in. Nonparametric statistics has been used for the data analysis and a shiny app has been implemented to show health insurance premium predictions. I thank Anna Iob, Martina Garavaglia and Veronica Mazzola who have partecipated in the project realisation.

An R package for running permutation tests and constructing associated confidence interals.

This is a project I did in the Spring of 2017 for the graduate course, Statistical Computing. In this project, I used a bootstrap approach to obtain a 90% confidence interval for an estimate of the coefficient variation

Detect anomalies in time series data via permutation