Functions aiming to facilitate the analysis of the structure of animal acoustic signals in 'R'. 'warbleR' makes use of the basic sound analysis tools from the packages 'tuneR' and 'seewave', and offers new tools for exploring and quantifying acoustic signal structure. The package allows to organize and manipulate multiple sound files, create spectrograms of complete recordings or individual signals in different formats, run several measures of acoustic structure, and characterize different structural levels in acoustic signals (Araya-Salas et al 2016 <doi:10.1111/2041-210X.12624>).

Toolkit to support and perform discrete event simulations with and without
    resource constraints in the context of health technology assessments (HTA).
    The package focuses on cost-effectiveness modelling and aims to be submission-ready
    to relevant HTA bodies in alignment with 'NICE TSD 15'
    <https://sheffield.ac.uk/nice-dsu/tsds/patient-level-simulation>.
    More details an examples can be found in the package website <https://jsanchezalv.github.io/WARDEN/>.

Provides estimation and inference for while-alive regression models targeting the while-alive loss rate for composite endpoints that include recurrent events and a terminal event. The implementation supports flexible time-varying covariate effects through user-selected time bases, including B-splines, natural splines, M-splines, step functions, truncated linear
    bases, interval-local bases, and piecewise polynomials. Inference can be performed using cluster-robust variance estimators for cluster-randomized trials, with subject-level (IID) variance as a special case. The package includes prediction and plotting utilities and K-fold cross-validation for
    selecting basis and tuning parameters. Methodology is based on Fang et al. (2025) <doi:10.1093/biostatistics/kxaf047>.

Heuristic methods to solve the routing problems in a warehouse management. Package includes several heuristics such as the Midpoint, Return, S-Shape and Semi-Optimal Heuristics for designation of the picker’s route in order picking. The heuristics aim to provide the acceptable travel distances while considering warehouse layout constraints such as aisles and shelves. 
    It also includes implementation of the COPRAS (COmplex PRoportional ASsessment) method for supporting selection of locations to be visited by the picker in shared storage systems. The package is designed to facilitate more efficient warehouse routing and logistics operations.     
    see:
    Bartholdi, J. J.,  Hackman, S. T. (2019). "WAREHOUSE & DISTRIBUTION SCIENCE. Release 0.98.1."
    The Supply Chain & Logistics Institute. H. Milton Stewart School of Industrial and Systems Engineering. 
    Georgia Institute of Technology. 
    <https://www.warehouse-science.com/book/editions/wh-sci-0.98.1.pdf>.