Developer

In my leisure time, I engage in the hobby of software development.

R packages

multiverseRCT

multiverseRCT

multiverseRCT is an R package for conducting multiverse analyses on randomized controlled trial (RCT) data. Instead of making a single set of analytical choices, multiverse analysis explores how different preprocessing decisions and model specifications affect research conclusions.

The package lets you:

  • Apply multiple preprocessing methods (e.g., different imputation strategies, outlier handling)

  • Fit multiple model specifications (adjusted/unadjusted, different model families)

  • Visualize the variation in treatment effects across the multiverse

  • Quantify the sensitivity of conclusions to analytic decisions.

More info here: shorturl.at/GFD3M

BriDGE

BriDGE is a comprehensive R package for causal analysis of randomized controlled trial (RCT) data. It seamlessly integrates causal discovery through Directed Acyclic Graphs (DAGs) with flexible mediation analysis using Generalized Additive Models (GAMs), providing researchers with powerful tools to understand complex causal relationships in behavioral experiments.

Key Features

  • 🔍 Causal Discovery: Multiple algorithms (MMHC, HC, PC-stable) to learn causal structures from data

  • 📊 Flexible Mediation Analysis: Handles nonlinear relationships using GAMs with automatic smoothing

  • 🔄 Bootstrap Inference: Robust uncertainty quantification through parallel bootstrapping

  • 🎯 Sensitivity Analysis: Assess robustness of findings to data perturbations

  • 📈 Comprehensive Visualization: Publication-ready plots for all analysis components

  • ⚡ Parallel Processing: Efficient computation for large-scale analyses

  • 🛡️ Robust Error Handling: Graceful handling of convergence issues and edge cases

Github: https://github.com/gav888/BriDGE

MacOS apps

ArticleOrbit

Download on the Mac App Store

The applications is available on the Mac App Store. Inspired by behavioural science principles and built by an academic who couldn’t find the right tracker, ArticleOrbit is the must-have macOS app for managing every manuscript milestone—effortlessly and intuitively.

Why ArticleOrbit?

  • Behaviour-Driven Design Interfaces and reminders shaped by proven behavioural science to keep you on track.

  • Unified Submission Tracker Log titles, venues, authors, and all key dates (submission, revision, decision, publication).

  • Live Dashboard & Analytics • Status Breakdown: See drafting, under review, accepted, or published at a glance.

  • Journal Stats: Top 10 outlets by volume, color-coded by status.

  • Waiting Times: Intuitive bar charts reveal how long papers linger in review. • Timeline View: Stacked bars map your submission cadence over weeks, months, or years.

  • Quick Sharing & Export Share waiting-time summaries via Mail or Notes; export your full history to CSV.

  • Flexible Search & Sort Filter by title, journal, or status; sort by date, name, or status in seconds.

  • Secure Attachments Link manuscript files with a click—leveraging macOS sandbox security bookmarks.

Perfect for:

  • Principal investigators juggling multiple labs

  • Research groups coordinating collaborative papers

  • Individual scholars who value clarity, data, and deadlines

Crafted in SwiftUI with SwiftData under the hood, ArticleOrbit feels right at home on Big Sur, Monterey, Ventura, and beyond. Spend less time chasing deadlines—and more time writing.

iOS apps

Randomista

Info soon, currently in development.