Performs parametric and non-parametric estimation and simulation of 
    drifting semi-Markov processes. The definition of parametric and non-parametric
    model specifications is also possible. Furthermore, three different types of
    drifting semi-Markov models are considered. These models differ in the number
    of transition matrices and sojourn time distributions used for the computation
    of a number of semi-Markov kernels, which in turn characterize the drifting 
    semi-Markov kernel. For the parametric model estimation and specification, 
    several discrete distributions are considered for the sojourn times: Uniform,
    Poisson, Geometric, Discrete Weibull and Negative Binomial. The non-parametric
    model specification makes no assumptions about the shape of the sojourn time
    distributions. Semi-Markov models are described in:
    Barbu, V.S., Limnios, N. (2008) <doi:10.1007/978-0-387-73173-5>.
    Drifting Markov models are described in:
    Vergne, N. (2008) <doi:10.2202/1544-6115.1326>.
    Reliability indicators of Drifting Markov models are described in:
    Barbu, V. S., Vergne, N. (2019) <doi:10.1007/s11009-018-9682-8>. 
    We acknowledge the DATALAB Project
    <https://lmrs-num.math.cnrs.fr/projet-datalab.html> (financed by the
    European Union with the European Regional Development fund (ERDF) and by
    the Normandy Region) and the HSMM-INCA Project (financed by the French
    Agence Nationale de la Recherche (ANR) under grant ANR-21-CE40-0005).

'DataSHIELD' is an infrastructure and series of R packages that 
    enables the remote and 'non-disclosive' analysis of sensitive research data.
    This package is the 'DataSHIELD' interface implementation to analyze data
    shared on a 'MOLGENIS Armadillo' server. 'MOLGENIS Armadillo' is a
    light-weight 'DataSHIELD' server using a file store and an 'RServe' server.

A collection of functions to search and download 
    Digital Surface Model (DSM) and Light Detection and Ranging (LiDAR) data via APIs, 
    including 'OpenTopography' <https://portal.opentopography.org/apidocs/> and 
    'TNMAccess' <https://apps.nationalmap.gov/tnmaccess/#/>, and canopy tree height data.