- Home
- Statistical Analysis Software
- 4DModeller
On the recordRead 12 Oct 202625 facts
4DModeller
On the record
- Bayesian analysis
- Yes4dmodeller.github.io · read 23 Sep 2026
- Bayesian modelling
- Its Bayesian hierarchical modelling is based on INLA and inlabru.4dmodeller.github.io · read 12 Oct 2026
- Data
- It expects tabular datasets with spatial coordinates, time indices, and values that change or remain constant over time.4dmodeller.github.io · read 12 Oct 2026
- Data format
- The tutorial says model input should be a data frame with a response, spatial coordinates, a time index, and covariate columns when applicable.4dmodeller.github.io · read 11 Oct 2026
- Data import formats
- Tabular datasets with spatial coordinates, time indices, and values; specific file formats are not stated.4dmodeller.github.io · read 23 Sep 2026
- Data preparation
- The data preprocessing tutorial describes transforming raw data into the format needed to run a Bayesian hierarchical model with fdmr.4dmodeller.github.io · read 11 Oct 2026
- Deployment
- both4dmodeller.github.io · read 23 Sep 2026
- Developers
- The page names Gareth Jones as author and maintainer and lists Xueqing Yin, John Aiken, and Jonathan Bamber as authors.4dmodeller.github.io · read 12 Oct 2026
- Features
- The package includes data visualization, finite element mesh building, Bayesian hierarchical modelling, and model evaluation and assessment tools.4dmodeller.github.io · read 11 Oct 2026
- Inference integrations
- Its Bayesian hierarchical modelling is based on INLA and inlabru.4dmodeller.github.io · read 11 Oct 2026
- Installation
- The quickstart requires a recent R installation and gives instructions to install INLA and the fdmr package from GitHub.4dmodeller.github.io · read 12 Oct 2026
- Intended users
- The project is designed for users who have organized their data into tabular datasets with spatial coordinates, time indices, and values.4dmodeller.github.io · read 11 Oct 2026
- License
- The package is licensed under GPL (>= 3).4dmodeller.github.io · read 12 Oct 2026
- Linux requirement
- For Ubuntu 20.04, the installation page says some systems may need build tools and additional libraries for dependencies.4dmodeller.github.io · read 11 Oct 2026
- Linux support
- The installation page discusses Ubuntu 20.04 and notes that some Linux systems need additional compiler and library packages.4dmodeller.github.io · read 12 Oct 2026
- Mesh building
- It includes tools for building finite element meshes for model calculations.4dmodeller.github.io · read 12 Oct 2026
- Model evaluation
- It includes tools for evaluating and assessing model output.4dmodeller.github.io · read 12 Oct 2026
- Modelling
- It supports spatially distributed, temporally dependent statistical models using tabular data with spatial coordinates, time indices and measured values.4dmodeller.github.io · read 11 Oct 2026