This package provides some functions for sample classification in microarrays.

Multiple imputation of multivariate continuous data under a normal model.

This package provides functions to calculate Sample Number and Average Sample Number for Repetitive Group Sampling Plan Based on Cpk as given in Aslam et al. (2013) (<DOI:10.1080/00949655.2012.663374>).

This package provides R and JavaScript functions to allow WebGL'-based 3D plotting using the three.js JavaScript library. Interactivity through roll-over highlighting and toggle buttons is also supported.

Run simple R scripts as command line applications, with automatic robust and convenient support for command line arguments. This package provides Rapp', an alternative R front-end similar to Rscript', that enables this.

Provide estimation and data generation tools for the quantile generalized beta regression model. For details, see Bourguignon, Gallardo and Saulo <arXiv:2110.04428> The package also provides tools to perform covariates selection.

Tool for providing access to the Java version CMAEvolutionStrategy of Nikolaus Hansen. CMA-ES is the Covariance Matrix Adaptation Evolution Strategy, see <https://www.lri.fr/~hansen/cmaes_inmatlab.html#java>.

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.

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>.

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.

Combining Univariate Association Test Results of Multiple Phenotypes for Detecting Pleiotropy.

Collection of functions for distributed lag linear and non-linear models.

Full descriptive statistics, physical description of sediment, metric or phi sieves.

This package provides a framework for creating plots with glowing points.

Package for fast computation of the maximum kernel likelihood estimator (mkle).

Visualizes multiple sequence alignments dynamically within the Shiny web application framework.

This package provides functions for measuring population divergence from genotypic data.

Construct a Hidden Markov Model with states learnt by unsupervised classification.

This package contains functions for visualization univariate data: ccdplot and qddplot.

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

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

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>.

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.