Package that simplifies the use of the 'HPZone' API. Most of the annoying and labor-intensive parts of the interface are handled by wrapper functions. Note that the API and its details are not publicly available. Information can be found at <https://www.ggdghorkennisnet.nl/groep/726-platform-infectieziekte-epidemiologen/documenten/map/9609> for those with access.

Provides univariate and indexed (multivariate) nonparametric smoothed kernel estimators for the future conditional hazard rate function when time-dependent covariates are present, a bandwidth selector for the estimator's implementation and pointwise and uniform confidence bands. Methods used in the package refer to Bagkavos, Isakson, Mammen, Nielsen and Proust-Lima (2025)  <doi:10.1093/biomet/asaf008>.

Miscellaneous convenience functions and wrapper functions 
	to convert frequencies between Hz, semitones, mel and Bark, 
	to create a matrix of dummy columns from a factor, 
	to determine whether x lies in range [a,b], 
	and to add a bracketed line to an existing plot.
	This package also contains an example data set of a stratified sample
	of 80 talkers of Dutch.

Offers efficient algorithms for fitting regularization paths for lasso or elastic-net penalized regression models with Huber loss, quantile loss or squared loss. Reference: Congrui Yi and Jian Huang (2017) <doi:10.1080/10618600.2016.1256816>.

Methods for data engineering in the human resources (HR) corporate domain. Designed for HR analytics practitioners and workforce-oriented data sets.

Nonparametric cumulative-incidence based estimation of the ratios of sub-hazard ratios to cause-specific hazard ratios using the approach from Ng et al. (2020).

Computes the hemodynamic response function (HRF) for task 
    functional magnetic resonance imaging (fMRI) data. Also includes functions
    for constructing a design matrix from task fMRI event timings, and for
    comparing multiple design matrices in a general linear model (GLM). A
    wrapper function is provided for GLM analysis of CIFTI-format data. Lastly,
    there are supporting functions which provide visual summaries of the
    HRFs and design matrices.