This package performs 2D Delaunay triangulation, constrained or unconstrained, with the help of the C++ library CDT. A function to plot the triangulation is provided. The constrained Delaunay triangulation has applications in geographic information systems.

Download and plot Open Street Map <https://www.openstreetmap.org/>, Bing Maps <https://www.bing.com/maps> and other tiled map sources. Use to create basemaps quickly and add hillshade to vector-based maps.

Some heavily used base R functions are reconstructed to also be compliant to data.table objects. Also, some general helper functions that could be of interest for working with data.table objects are included.

Nonparametric maximum likelihood estimation methods for random coefficient binary response models and some related functionality for sequential processing of hyperplane arrangements. See J. Gu and R. Koenker (2020) <DOI:10.1080/01621459.2020.1802284>.

This package provides functions that implement the known population median test.

This package provides procedures to work with classification and regression trees.

Pviz adapts the Gviz package for protein sequences and data.

This package contains greedy algorithms for coarse approximation linear functions.

High-frequency time-series support via nanotime and data.table'.

The program GRNN implements the algorithm proposed by Specht (1991).

Unsupervised Clustering and Meta-analysis using Gaussian Mixture Copula Models.

R interface to POSIX mmap and Window's MapViewOfFile.

Get or set UNIX priority (niceness) of running R process.

This package provides a DBI-compatible interface to ODBC databases.

Read and write GraphPad Prism .pzfx files in R.

Tests periodicity in short time series using response surface regression.

Efficient estimation of multivariate skew-normal distribution in closed form.

This package provides functions for statistical analysis of point processes.

Connect R with MOA (Massive Online Analysis - <https://moa.cms.waikato.ac.nz/>) to build classification models and regression models on streaming data or out-of-RAM data. Also streaming recommendation models are made available.

Collection of models and analysis methods used in regional and urban economics and (quantitative) economic geography, e.g. measures of inequality, regional disparities and convergence, regional specialization as well as accessibility and spatial interaction models.

Summarize model output using a robust effect size index. The index is introduced in Vandekar, Tao, & Blume (2020, <doi:10.1007/s11336-020-09698-2>). Software paper available at <doi:10.18637/jss.v112.i03>.

This package provides a recursively partitioned mixture model for Beta and Gaussian mixtures. This is a model-based clustering algorithm that returns a hierarchy of classes, similar to hierarchical clustering, but also similar to finite mixture models.

This package provides functions for extracting feature contributions from a random forest model from package randomForest. Feature contributions provide detailed information about the relationship between data variables and the predicted value returned by random forest model.

This package provides tools for manipulating, exploring, and visualising multiple-response data, including scored or ranked responses. Conversions to and from factors, lists, strings, matrices; reordering, lumping, flattening; set operations; tables; frequency and co-occurrence plots.