Time Series Forecasting RShiny dashboard

Analyzed a 10-year USD/EUR exchange rate dataset using ARIMA and Exponential Smoothing forecasting models. Achieved a MAPE of approximately 4.68% and RMSE of about 0.0605 for both models.

R source code for my Group Project Essay on Generalised Additive Model

population scenarios City of Zurich

This repo is related to our benchmark entitled: "Decoding the microbiome-metabolome Nexus: A Systematic Benchmark of Integrative Strategies". We provide code to integrate metagenomics and metabolomics data to answer a variety of questions: such as global associations, data summarization, individual associations and feature selection.

Prediction of customer churn with logistic regression in R. Team project from UPC's Master's Degree in Data Science

A repo of all my baseball analytics projects. Reach me at danielthom18@outlook.com

Analysis of software project costs, identifying key factors that significantly influence effort requirements, through statistical modeling and hypothesis testing.

R script and documentation of maximum-likelihood estimation for MOI and lineage frequency estimates accounting for incomplete data

Bayesian Gene Selection Criterion (BGSC) approach

(Repositório temporário até eu conseguir fazer o upload em forma de pacote propriamente dito). Documentação do pacote poissonINAR1 para Iniciação Cientifica feita em agosto de 2023 à julho de 2024.

Personal R package

Using R, logistic regression was performed to evaluate the prisoner reform program based on the data of state prisoners. From the total 432 convicts which were released from state prisons, 50% of them were chosen at random to receive financial aid. Prisoners were then tracked, and additional metrics were observed and their impacts on prisoners g…

🌍 Implement climate prediction models to transform global data into localized forecasts for effective water resource management and impact assessment.

Implementation for HMC Math158: Statistical Linear Models

Statistical modelling for predicting football outcomes: an R implementation of the Dixon-Coles model and applications to the 2021-2022 Serie A championship

Predicting the diagnosis of Coronary Artery Disease using various statistical models such as Logistic Regression, Decision Tree and k-nearest neighbors

Statistical model to simulate individual haemoglobin concentrations in human hosts as a function of observed egg counts quantifying hookworm infection. The model employs latent variables to reproduce an underlying worm burdens distribution in the population. The model after calibration is used to predict the prevalence of anaemia that can be att…

Here is a whole bunch of genomic data analyses using Bioconductor packages. The files are found in the form of .R files.