An implementation of the Ordered Forest estimator as developed 
    in Lechner & Okasa (2019) <arXiv:1907.02436>. The Ordered Forest flexibly
    estimates the conditional probabilities of models with ordered categorical
    outcomes (so-called ordered choice models). Additionally to common machine 
    learning algorithms the 'orf' package provides functions for estimating
    marginal effects as well as statistical inference thereof and thus provides
    similar output as in standard econometric models for ordered choice. The
    core forest algorithm relies on the fast C++ forest implementation from
    the 'ranger' package (Wright & Ziegler, 2017) <arXiv:1508.04409>.

Automates and standardizes the import of raw data from Oregon RFID (radio-frequency identification) ORMR (Oregon RFID Multi-Reader) and ORSR (Oregon RFID Single Reader) antenna readers. Compiled data can then be combined within multi-reader arrays for further analysis, including summarizing tag and reader detections, determining tag direction, and calculating antenna efficiency.

A system to help you organize projects. Most analyses have three (or more) main sections: code, results, and data, each with different requirements (version control/sharing/encryption). You provide folder locations and 'org' helps you take care of the details.

Provides functions for quickly creating R and Python scripts, as 
    well as 'Rmarkdown' or Quarto documents with automatically assigned name 
    prefixes. Prefixes are either file counts (e.g. "001") or dates 
    (e.g. "2022-09-26").

A tool for visualizing numerical data (such as gene expression levels) on human organ maps. It supports custom color schemes, organ system filtering, and optional bar charts for quantitative comparison. The package integrates organ coordinate data to plot anatomical contours and map data values to specific organs, facilitating intuitive visualization of biological data distribution. The underlying method was described in the preprint by Zhou et al. (2022) <doi:10.1101/2022.09.07.506938>.