Change point tests for joint distributions and copulas using pseudo-observations with multipliers or bootstrap. The processes used here have been defined in Bucher, Kojadinovic, Rohmer & Segers <doi:10.1016/j.jmva.2014.07.012> and Nasri & Remillard <doi:10.1016/j.jmva.2019.03.002>.

Changing the name of an existing R package is annoying but common task especially in the early stages of package development. This package (mostly) automates this task.

Facilitates workflows to reproducibly transform estimates of
    species’ distributions into metrics relevant for conservation. For
    example, combining predictions from species distribution models with other
    maps of environmental data to characterize the proportion of a species’
    range that is under protection, calculating metrics used under the
    International Union for Conservation of Nature (IUCN) Criteria A and B
    guidelines (Area of Occupancy and Extent of Occurrence), and calculating
    more general metrics such as taxonomic and phylogenetic diversity, as well
    as endemism. Also facilitates temporal comparisons among biodiversity
    metrics to inform efforts towards complementarity and consideration of
    future scenarios in conservation decisions. 'changeRangeR' also provides
    tools to determine the effects of modeling decisions through sensitivity
    tests.

Estimation of changepoints using an "S-curve"
   approximation. Formation of confidence intervals for changepoint
   locations and magnitudes. Both abrupt and gradual changes can be
   modeled.

Advertisers use a variety of online marketing channels to reach consumers and they want to know the degree each channel contributes to their marketing success. This is called online multi-channel attribution problem. This package contains a probabilistic algorithm for the attribution problem. The model uses a k-order Markov representation to identify structural correlations in the customer journey data. The package also contains three heuristic algorithms (first-touch, last-touch and linear-touch approach) for the same problem. The algorithms are implemented in C++.