R-Forge Full Project Listing

BUGS-R

BUGS-R provides R packages to interface to WinBUGS and OpenBUGS programs.

prn

Test package for checking R-Forge behaviour

Divorce

Software to check for various forms of separation in various categorical data models.

FuelDeep3D

FuelDeep3D provides tools for processing, feature extraction, and classification of 3D forest point clouds for fuel assessment applications. The package supports creating training datasets, computing height-derived metrics, segmenting vegetation structures, and writing per-point fuel classes back to LAS/LAZ files. These functions streamline TLS-based fuel mapping workflows and enable integration with forest inventory, wildfire modeling, and ecological analysis pipelines in R.

FracFixR

A compositional statistical framework for absolute proportion estimation between fractions in RNA sequencing data. 'FracFixR' addresses the fundamental challenge in fractionated RNA-seq experiments where library preparation and sequencing depth obscure the original proportions of RNA fractions. It reconstructs original fraction proportions using non-negative linear regression, estimates the "lost" unrecoverable fraction, corrects individual transcript frequencies, and performs differential proportion testing between conditions. Supports any RNA fractionation protocol including polysome profiling, sub-cellular localization, and RNA-protein complex isolation.

tiere_test

From George Orwell Farm der Tiere -- test project.

Plots for MCMCpack

The R package mpplot creates coefficient plots for regression models in MCMCpack. It can also be used to predict new cases, create interaction plots, and create short tables of regression results. There are no dependencies beyond the graphics package which is part of the R installation, and the MCMCpack which is used for these regression models in the first place.

OtsuFire

Automated tools to map fire scars, severity, and vegetation regeneration using Otsu thresholding applied to RBR/dNBR image composites, including mosaic handling, polygon metrics, post-fire regeneration, DOY flagging, and validation against reference datasets.

glarma

Functions are provided for estimation, testing, diagnostic checking and forecasting of generalized linear autoregressive moving average (GLARMA) models for discrete valued time series with regression variables. These are a class of observation driven non-linear non-Gaussian state space models.

Harmony

This package is a natural language processing (NLP) library that allows users to access large language models and use them to compare datasets where variable names are in unstructured text form. The target users are often academic researchers in the social sciences, such as psychology/mental health. We are actively recruiting contributors. We have an existing Python library also.
The source code is at: https://github.com/harmonydata/harmony_r
The web front-end of the tool is at: https://harmonydata.ac.uk/

What does Harmony do?

* Psychologists and social scientists often have to match items in different questionnaires, such as "I often feel anxious" and "Feeling nervous, anxious or afraid".
* This is called harmonisation.
* Harmonisation is a time consuming and subjective process.
* Going through long PDFs of questionnaires and putting the questions into Excel is no fun.
* Enter Harmony, a tool that uses natural language processing and generative AI models to help researchers harmonise questionnaire items, even in different languages.