Contains a 'shiny' application called AdEPro (Animation of Adverse Event Profiles) which (audio-)visualizes adverse events occurring in clinical trials. As this data is usually considered sensitive, this tool is provided as a stand-alone application that can be launched from any local machine on which the data is stored.

Designed for optimal use in performing fast, 
    accurate walking strides segmentation from high-density 
    data collected from a wearable accelerometer worn 
    during continuous walking activity.

Created to host raw accelerometry data sets and their derivatives which are used in the corresponding 'adept' package.

The main application concerns to a new robust optimization package with two major contributions. The first contribution refers to the assessment of the adequacy of probabilistic models through a combination of several statistics, which measure the relative quality of statistical models for a given data set. The second one provides a general purpose optimization method based on meta-heuristics functions for maximizing or minimizing an arbitrary objective function.

Data sets used in Cayuela and De la Cruz (2022, ISBN:978-84-8476-833-3).

Tools for the multiscale spatial analysis of multivariate data.
    Several methods are based on the use of a spatial weighting matrix and its
    eigenvector decomposition (Moran's Eigenvectors Maps, MEM). 
    Several approaches are described in the review Dray et al (2012)
    <doi:10.1890/11-1183.1>.

Methods to evaluate the performance characteristics of
  various point and interval estimators for optimal adaptive two-stage designs as described
  in Meis et al. (2024) <doi:10.1002/sim.10020>.
  Specifically, this package is written to work with trial designs created by the 'adoptr' package
  (Kunzmann et al. (2021) <doi:10.18637/jss.v098.i09>; Pilz et al. (2021) <doi:10.1002/sim.8953>)).
  Apart from the a priori evaluation of performance characteristics, this package also allows for the
  evaluation of the implemented estimators on real datasets, and it implements methods
  to calculate p-values.