'OpenTelemetry' is a collection of tools,
    'APIs', and 'SDKs' used to instrument, generate, collect, and export
    telemetry data (metrics, logs, and traces) for analysis in order to
    understand your software's performance and behavior.
    This package contains the 'OpenTelemetry' 'SDK', and exporters.
    Use this package to export traces, metrics, logs from instrumented
    'R' code. Use the 'otel' package to instrument your 'R' code for
    'OpenTelemetry'.

Sample from the limiting distributions of empirical Wasserstein
    distances under the null hypothesis and under the alternative. Perform a 
    two-sample test on multivariate data using these limiting distributions and 
    binning.

Generating and validating One-time Password based on 
    Hash-based Message Authentication Code (HOTP) 
    and Time Based One-time Password (TOTP)
    according to RFC 4226 <https://datatracker.ietf.org/doc/html/rfc4226> and
    RFC 6238 <https://datatracker.ietf.org/doc/html/rfc6238>.

A wrapper for the 'OpenTripPlanner' <http://www.opentripplanner.org/>
    REST API. Queries are submitted to the relevant 'OpenTripPlanner' API resource, the response
    is parsed and useful R objects are returned.

In the context of data fusion, the package provides a set of functions dedicated to the solving of 'recoding problems' using optimal transportation theory (Gares, Guernec, Savy (2019) <doi:10.1515/ijb-2018-0106> and Gares, Omer (2020) <doi:10.1080/01621459.2020.1775615>). From two databases with no overlapping part except a subset of shared variables, the functions of the package assist users until obtaining a unique synthetic database, where the missing information is fully completed.

Performs robust cluster analysis allowing for outliers and noise that cannot be fitted by any cluster. The data are modelled by a mixture of Gaussian distributions and a noise component, which is an improper uniform  distribution covering the whole Euclidean space. Parameters are estimated by  (pseudo) maximum likelihood. This is fitted by a EM-type algorithm. See Coretto and Hennig (2016) <doi:10.1080/01621459.2015.1100996>, and Coretto and Hennig (2017) <https://jmlr.org/papers/v18/16-382.html>.