4DModeller

Spec sheet

Purpose

4DModeller is a spatio-temporal modelling package for problems ranging from micro to global scales.Read 12 Oct 2026 · 4dmodeller.github.io

Intended users

The project is designed for users who have organized their data into tabular datasets with spatial coordinates, time indices, and values.Read 11 Oct 2026 · 4dmodeller.github.io

Deployment

bothRead 23 Sep 2026 · 4dmodeller.github.io

Free plan

YesRead 23 Sep 2026 · 4dmodeller.github.io

Support

The project directs users to its GitHub issues page to report bugs or raise issues.Read 12 Oct 2026 · 4dmodeller.github.io

License

The package is licensed under GPL (>= 3).Read 12 Oct 2026 · 4dmodeller.github.io

Bayesian analysis

YesRead 23 Sep 2026 · 4dmodeller.github.io

Bayesian modelling

Its Bayesian hierarchical modelling is based on INLA and inlabru.Read 12 Oct 2026 · 4dmodeller.github.io

Data

It expects tabular datasets with spatial coordinates, time indices, and values that change or remain constant over time.Read 12 Oct 2026 · 4dmodeller.github.io

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.Read 11 Oct 2026 · 4dmodeller.github.io

Data import formats

Tabular datasets with spatial coordinates, time indices, and values; specific file formats are not stated.Read 23 Sep 2026 · 4dmodeller.github.io

Data preparation

The data preprocessing tutorial describes transforming raw data into the format needed to run a Bayesian hierarchical model with fdmr.Read 11 Oct 2026 · 4dmodeller.github.io

Developers

The page names Gareth Jones as author and maintainer and lists Xueqing Yin, John Aiken, and Jonathan Bamber as authors.Read 12 Oct 2026 · 4dmodeller.github.io

Features

The package includes data visualization, finite element mesh building, Bayesian hierarchical modelling, and model evaluation and assessment tools.Read 11 Oct 2026 · 4dmodeller.github.io

Inference integrations

Its Bayesian hierarchical modelling is based on INLA and inlabru.Read 11 Oct 2026 · 4dmodeller.github.io

Installation

The quickstart requires a recent R installation and gives instructions to install INLA and the fdmr package from GitHub.Read 12 Oct 2026 · 4dmodeller.github.io

Linux requirement

For Ubuntu 20.04, the installation page says some systems may need build tools and additional libraries for dependencies.Read 11 Oct 2026 · 4dmodeller.github.io

Linux support

The installation page discusses Ubuntu 20.04 and notes that some Linux systems need additional compiler and library packages.Read 12 Oct 2026 · 4dmodeller.github.io

Mesh building

It includes tools for building finite element meshes for model calculations.Read 12 Oct 2026 · 4dmodeller.github.io

Model evaluation

It includes tools for evaluating and assessing model output.Read 12 Oct 2026 · 4dmodeller.github.io

Modelling

It supports spatially distributed, temporally dependent statistical models using tabular data with spatial coordinates, time indices and measured values.Read 11 Oct 2026 · 4dmodeller.github.io

Priors

The project describes specifying priors to help select model hyperparameters.Read 12 Oct 2026 · 4dmodeller.github.io

Scripting support

YesRead 23 Sep 2026 · 4dmodeller.github.io

Visualization

The package includes data visualization tools.Read 12 Oct 2026 · 4dmodeller.github.io

Workflow tools

The project provides Shiny apps, tutorials as R Markdown notebooks, and the R package itself.Read 12 Oct 2026 · 4dmodeller.github.io

Where Specifiction places it

• Statistical Analysis Software#87 of 1067.2