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mmaechler

cluster:"Finding Groups in Data": Cluster Analysis Extended Rousseeuw et al.

Methods for Cluster analysis. Much extended the original from Peter Rousseeuw, Anja Struyf and Mia Hubert, based on Kaufman and Rousseeuw (1990) "Finding Groups in Data".

Maintained by Martin Maechler. Last updated 18 days ago.

3 stars 11.98 score 14k scripts 2.2k dependents

luismurao

bamm:Species Distribution Models as a Function of Biotic, Abiotic and Movement Factors (BAM)

Species Distribution Modeling (SDM) is a practical methodology that aims to estimate the area of distribution of a species. However, most of the work has focused on estimating static expressions of the correlation between environmental variables. The outputs of correlative species distribution models can be interpreted as maps of the suitable environment for a species but not generally as maps of its actual distribution. Soberón and Peterson (2005) <doi:10.17161/bi.v2i0.4> presented the BAM scheme, a heuristic framework that states that the occupied area of a species occurs on sites that have been accessible through dispersal (M) and have both favorable biotic (B) and abiotic conditions (A). The 'bamm' package implements classes and functions to operate on each element of the BAM and by using a cellular automata model where the occupied area of a species at time t is estimated by the multiplication of three binary matrices: one matrix represents movements (M), another abiotic -niche- tolerances (A), and a third, biotic interactions (B). The theoretical background of the package can be found in Soberón and Osorio-Olvera (2023) <doi:10.1111/jbi.14587>.

Maintained by Luis Osorio-Olvera. Last updated 8 months ago.

cpp

1 stars 4.40 score 4 scripts

lixun910

fastkmedoids:Faster K-Medoids Clustering Algorithms: FastPAM, FastCLARA, FastCLARANS

R wrappers of C++ implementation of Faster K-Medoids clustering algorithms (FastPAM, FastCLARA and FastCLARANS) proposed in Erich Schubert, Peter J. Rousseeuw 2019 <doi:10.1007/978-3-030-32047-8_16>.

Maintained by Xun Li. Last updated 4 years ago.

cpp

2 stars 3.78 score 3 scripts 2 dependents

cran

dundermifflin:The Office Quotes on-Demand

Provides functions to randomly select, return, and print quotes or entire scenes from the American version of the show the Office. Receive laughs from one of of the greatest sitcoms of all time on demand. Add these functions to your '.Rprofile' to get a good laugh everytime you start a new R session.

Maintained by Tyler Bradley. Last updated 5 years ago.

1.00 score

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