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

Evaluate the effectiveness of treatment types for anorexia using T tests, permutation tests, and QQ-plots

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.

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.

Detect anomalies in time series data via permutation

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