Showing 3 of total 3 results (show query)
pik-piam
magclass:Data Class and Tools for Handling Spatial-Temporal Data
Data class for increased interoperability working with spatial-temporal data together with corresponding functions and methods (conversions, basic calculations and basic data manipulation). The class distinguishes between spatial, temporal and other dimensions to facilitate the development and interoperability of tools build for it. Additional features are name-based addressing of data and internal consistency checks (e.g. checking for the right data order in calculations).
Maintained by Jan Philipp Dietrich. Last updated 24 days ago.
5 stars 11.16 score 412 scripts 56 dependents
psolymos
mefa4:Multivariate Data Handling with S4 Classes and Sparse Matrices
An S4 update of the 'mefa' package using sparse matrices for enhanced efficiency. Sparse array-like objects are supported via lists of sparse matrices.
Maintained by Peter Solymos. Last updated 6 months ago.
data-manipulationecologysparse-matrices
5.34 score 368 scripts 2 dependents
cran
qcluster:Clustering via Quadratic Scoring
Performs tuning of clustering models, methods and algorithms including the problem of determining an appropriate number of clusters. Validation of cluster analysis results is performed via quadratic scoring using resampling methods, as in Coraggio, L. and Coretto, P. (2023) <doi:10.1016/j.jmva.2023.105181>.
Maintained by Luca Coraggio. Last updated 3 months ago.
1.30 score