Computes 46 optimized distance and similarity measures for comparing probability functions (Drost (2018) <doi:10.21105/joss.00765>). These comparisons between probability functions have their foundations in a broad range of scientific disciplines from mathematics to ecology. The aim of this package is to provide a core framework for clustering, classification, statistical inference, goodness-of-fit, non-parametric statistics, information theory, and machine learning tasks that are based on comparing univariate or multivariate probability functions.

Control Philips Hue smart lighting. Use this package to
    connect to a Hue bridge on your local network (remote authentication
    not yet supported) and control your smart lights through the Philips
    Hue API. All API V1 endpoints are supported. See API documentation at
    <https://developers.meethue.com/>.

Proportional hazards estimation in the presence of a partially monotone likelihood has difficulties, in that finite estimators do not exist.  These difficulties are related to those arising from logistic and multinomial regression.  References for methods are given in the separate function documents.  Supported by grant NSF DMS 1712839.

Implements the phinterval vector class for representing time
    spans that may contain gaps (disjoint intervals) or be empty. This class
    generalizes the 'lubridate' package's interval class to support vectorized
    set operations (intersection, union, difference, complement) that always
    return a valid time span, even when disjoint or empty intervals are created.

A bioinformatics method developed for analyzing the heterogeneity of single-cell populations. Phitest provides an objective and automatic method to evaluate the performance of clustering and quality of cell clusters.

Perform a differential analysis at pathway level based on 
             metabolite quantifications and information on pathway metabolite 
             composition. The method, described in Guilmineau et al (2025)
             <doi:10.1186/s12859-025-06118-z> is based on a Principal Component 
             Analysis step and on a linear mixed model.
  Automatic query of metabolic pathways is also implemented.