An implementation of the Abnormal Blood Profile Score (ABPS,
    part of the Athlete Biological Passport program of the World Anti-Doping
    Agency), which combines several blood parameters into a single score in
    order to detect blood doping (Sottas et al. (2006)
    <doi:10.2202/1557-4679.1011>). The package also contains functions to
    calculate other scores used in anti-doping programs, such as the
    OFF-score (Gore et al. (2003) <http://www.haematologica.org/content/88/3/333>),
    as well as example data.

Wraps the 'Abseil' 'C++' library for use by R packages.
    Original files are from <https://github.com/abseil/abseil-cpp>.
    Patches are located at
    <https://github.com/doccstat/abseil-r/tree/main/local/patches>.

A variable selection method using B-Splines in multivariate nOnparametric Regression models Based on partial dErivatives Regularization (ABSORBER) implements a novel variable selection method in a nonlinear multivariate model using B-splines. For further details we refer the reader to the paper Savino, M. E. and Lévy-Leduc, C. (2024), <https://hal.science/hal-04434820>.

Provides functions to convert origin-destination data,
    represented as straight 'desire lines' in the 'sf' Simple Features
    class system, into JSON files that can be directly imported into
    A/B Street <https://www.abstreet.org>, a free and open source tool
    for simulating urban transport systems and scenarios of change
    <doi:10.1007/s10109-020-00342-2>.

An R-Shiny application to create visual abstracts for original research. A variety of user defined options and formatting are included.

Survival analysis is employed to model the time it takes for events to occur. Survival model examines the relationship between survival and one or more predictors, usually termed covariates in the survival-analysis literature. To this end, Cox-proportional (Cox-PH) hazard rate model introduced in a seminal paper by Cox (1972) <doi:10.1111/j.2517-6161.1972.tb00899.x>, is a broadly applicable and the most widely used method of survival analysis. This package can be used to estimate the effect of fixed and time-dependent covariates and also to compute the survival probabilities of the lactation of dairy animal. This package has been developed using algorithm of Klein and  Moeschberger (2003) <doi:10.1007/b97377>.