Retrieves open source airport data and provides tools to look up information, translate names into codes and vice-verse, as well as some basic calculation functions for measuring distances. Data is licensed under the Open Database License.

Geographic, use, and property related data on airports.

These dataset contains daily quality air measurements in 
  Spain over a period of 18 years (from 2001 to 2018). The measurements refer to 
  several pollutants. These data are openly published by the Government of Spain.  
  The datasets were originally spread over a number of files and formats. Here, 
  the same information is contained in simple dataframe for convenience of 
  researches, journalists or general public. See the Spanish Government website 
  <http://www.miteco.gob.es/> for more information.

Schema definitions and read, write and validation tools for data 
    formatted in accordance with the AIRR Data Representation schemas defined 
    by the AIRR Community <http://docs.airr-community.org>.

Implements two complementary high-dimensional feature screening
    methods, Adaptive Iterative Ridge High-dimensional Ordinary Least-squares
    Projection (Air-HOLP, suitable when the number of predictors p is greater
    than or equal to the sample size n) and Adaptive Iterative Ridge Ordinary
    Least Squares (Air-OLS, for n greater than p). Also  provides helper
    functions to generate compound-symmetry and AR(1) correlated data, plus
    a unified Air() front end and a summary method. For methodological details
    see Joudah, Muller and Zhu (2025) <doi:10.1007/s11222-025-10599-6>.

Plots simulation results of clinical trials. Its main feature is allowing users to simultaneously investigate the impact of several simulation input dimensions through dynamic filtering of the simulation results. A more detailed description of the app can be found in Meyer et al. <DOI:10.1016/j.softx.2023.101347> or the vignettes on 'GitHub'.

An evaluation framework for algorithm portfolios using Item Response
    Theory (IRT). We use continuous and polytomous IRT models to evaluate algorithms and introduce
    algorithm characteristics such as stability, effectiveness and anomalousness 
    (Kandanaarachchi, Smith-Miles 2020) <doi:10.13140/RG.2.2.11363.09760>.