Stability Selection with Error Control

Resampling Tools for Time Series Forecasting with Modeltime

MANOVA.RM

Analyses of coelacanth morphometrics, disparity, phylogeny, and rate of evolution

Code accompanying the thesis project: "Understanding and Correcting Selection Bias in the Sentiments derived from Flemish Tweets".

A stochastic energetics model to estimate the probability of meeting the energetic needs of whale sharks at a food-provisioned tourist site

Analysis of palaeoecological records across South-East Asia to determine the evidence for regime shifts between open savannas and dense tropical forests occurred since the Last Glacial Maximum

R package for the correlation-based network analysis of methylation data

focus on machine learning techniques for clustering and regression analysis. It explores real-world datasets to solve challenges and extract meaningful insights. Specifically, it addresses the critical task of predicting when to replace broaches used in manufacturing airplane engines.

Nonparametric Bootstrap Test with Pooled Resampling Card Game

R function that resamples randomly and without replacement counts, and calculates rarefied richness (N0), diversity (N1, N2) and evenness (N2/N0) (after Hill (1973) and Birks et al. (2016))

R package for the correlation-based network analysis of methylation data

Detect anomalies in time series data via permutation

Nonparametric Bootstrap Test with Pooled Resampling Card Game

Exercises in Machine Learning with R

Measures of agreement for bootstrapped and reciprocal NMDS

Explore the Exact Bootstrap Method

An R package for doing repeated k-fold cross validation

This repository contains the code to replicate the numerical studies presented in the paper "A Flexible Bias Correction Method based on Inconsistent Estimators".

Determining the most important predictors of diarrhoea in children under five in South and Southeast Asia by exploring the spatiotemporal association between diarrhoeal incidence and various behavioural, socio-demographic, and environmental factors.