R-Forge Full Project Listing

ICESat2VegR

ICESat2VegR: An R Package for NASA’s Ice, Cloud, and Elevation Satellite (ICESat-2) Data Processing and Visualization for Land and Vegetation Applications.

Authors: Carlos Alberto Silva, Caio Hamamura, Cesar Alvites and Alexander J. Gaskins

The ICESat2VegR package provides functions for downloading, reading, visualizing, processing, and exporting NASA’s ICESat-2 ATL03 (Global Geolocated Photon Data) and ATL08 (Land and Vegetation Height) products for land and vegetation applications in the R environment.

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.