Simplifies the creation of Excel .xlsx files by providing a
    high level interface to writing, styling and editing worksheets.
    Through the use of 'Rcpp', read/write times are comparable to the
    'xlsx' and 'XLConnect' packages with the added benefit of removing the
    dependency on Java.

Simplifies the creation of 'xlsx' files by
    providing a high level interface to writing, styling and editing
    worksheets.

Provides a collection of utilities that allow programming with 
    R's operators. Routines allow classifying operators, 
    translating to and from an operator and its underlying function, and inverting 
    some operators (e.g. comparison operators), etc. All methods can be extended
    to custom infix operators.

A set of binary operators for common tasks such as regex
        manipulation.

Necessary functions for optimized automated evaluation of the number and parameters of Gaussian mixtures in one-dimensional data. Various methods are available for parameter estimation and for determining the number of modes in the mixture. A detailed description of the methods ca ben found in Lotsch, J., Malkusch, S. and A. Ultsch. (2022) <doi:10.1016/j.imu.2022.101113>.

Implementation of the Open Perimetry Interface (OPI) for simulating and controlling visual field machines using R. The OPI is a standard for interfacing with visual field testing machines (perimeters) first started as an open source project with support of Haag-Streit in 2010. It specifies basic functions that allow many visual field tests to be constructed. As of February 2022 it is fully implemented on the Haag-Streit Octopus 900 and 'CrewT ImoVifa' ('Topcon Tempo') with partial implementations on the Centervue Compass, Kowa AP 7000 and Android phones. It also has a cousin: the R package 'visualFields', which has tools for analysing and manipulating visual field data.

A model-agnostic framework for selecting dataset-specific imputation methods 
        for missing values in numerical data related to pain. Lotsch J, Ultsch A (2025) 
        "A model-agnostic framework for dataset-specific selection of missing value imputation 
        methods in pain-related numerical data" Canadian Journal of Pain (in minor revision).