A Sky Illuminance Location Tracker

Calculate geolocations by light using template matching. The routine uses a calibration free optimization of a sky illuminance model to determine locations robustly using a template matching approach, as described by Ekstrom (2004) < https://nipr.repo.nii.ac.jp/records/2496>, and behaviourly informed constraints (step-selection).

Decision Tree Analysis for Probabilistic Subgroup Identification with Multiple Treatments

In the situation when multiple alternative treatments or interventions available, different population groups may respond differently to different treatments. This package implements a method that discovers the population subgroups in which a certain treatment has a better effect than the other alternative treatments. This is done by first estimating the treatment effect for a given treatment and its uncertainty by computing random forests, and the resulting model is summarized by a decision tree in which the probabilities that the given treatment is best for a given subgroup is shown in the corresponding terminal node of the tree.

Analysis of Single-Cell Viral Growth Curves

Aims to quantify time intensity data by using sigmoidal and double sigmoidal curves. It fits straight lines, sigmoidal, and double sigmoidal curves on to time vs intensity data. Then all the fits are used to make decision on which model best describes the data. This method was first developed in the context of single-cell viral growth analysis (for details, see Caglar et al. (2018) ), and the package name stands for "SIngle CEll Growth Analysis in R".

Build 'Rust' Powered 'R' Packages

Provides a framework for creating high-performance 'R' packages powered by the 'Rust' programming language using the 'extendr' Rust crate. It offers 'usethis'-like functions to scaffold and develop 'Rust' powered 'R' packages, including utilities for publishing to CRAN, managing dependencies, configuring development environments, and rendering 'Rust' code in 'knitr' documents. Additionally, it provides functions to compile and evaluate 'Rust' code directly from 'R' for interactive development.

'OpenCL'-Ported R 'Mathlib' for GPU-Accelerated Packages

Ships statistical and mathematical routines from R internal 'nmath' ('Mathlib') as 'OpenCL' C sources under directory 'inst/cl/', with R wrappers that use the GPU when 'OpenCL' is available at compile time and fall back to 'stats' equivalents otherwise. Aimed at package developers building custom kernels (for example Bayesian GLMs via suggested package 'glmbayes') using 'opencltools' kernel loaders and related helpers. Contains translated shims, an illustrative GLM-related kernel subsystem, vignettes, and optional GPU acceleration. The ported routines are translated from the 'nmath' ('Mathlib') and 'Rmath' sources of R Core Team (2026) "R: A Language and Environment for Statistical Computing" . 'OpenCL' GPU execution follows the standard described in Stone, Gohara, and Shi (2010) . The likelihood subgradient simulation methodology implemented by the illustrative GLM kernel subsystem is described in Nygren and Nygren (2006) .