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Breiman and Cutler's Random Forests for Classification and Regression
Classification and regression based on a forest of trees using random inputs, based on Breiman (2001)
A Fast Implementation of Random Forests
A fast implementation of Random Forests, particularly suited for high dimensional data. Ensembles of classification, regression, survival and probability prediction trees are supported. Data from genome-wide association studies can be analyzed efficiently. In addition to data frames, datasets of class 'gwaa.data' (R package 'GenABEL') and 'dgCMatrix' (R package 'Matrix') can be directly analyzed.
Multivariate Normal and t Distributions
Computes multivariate normal and t probabilities, quantiles, random deviates, and densities. Log-likelihoods for multivariate Gaussian models and Gaussian copulae parameterised by Cholesky factors of covariance or precision matrices are implemented for interval-censored and exact data, or a mix thereof. Score functions for these log-likelihoods are available. A class representing multiple lower triangular matrices and corresponding methods are part of this package.
Toolbox for Pseudo and Quasi Random Number Generation and Random Generator Tests
Provides (1) pseudo random generators - general linear congruential generators,
multiple recursive generators and generalized feedback shift register (SF-Mersenne Twister
algorithm (
Network Analysis and Visualization
Routines for simple graphs and network analysis. It can handle large graphs very well and provides functions for generating random and regular graphs, graph visualization, centrality methods and much more.
Truncated Random Variables
A collection of tools to evaluate probability density functions, cumulative distribution functions, quantile functions and random numbers for truncated random variables. These functions are provided to also compute the expected value and variance. Nadarajah and Kotz (2006) developed most of the functions. QQ plots can be produced. All the probability functions in the stats, stats4 and evd packages are automatically available for truncation..
Truncated Normal Distribution
Density, probability, quantile and random number generation functions for the truncated normal distribution.
True Random Numbers using RANDOM.ORG
The true random number service provided by the RANDOM.ORG website created by Mads Haahr samples atmospheric noise via radio tuned to an unused broadcasting frequency together with a skew correction algorithm due to John von Neumann. More background is available in the included vignette based on an essay by Mads Haahr. In its current form, the package offers functions to retrieve random integers, randomized sequences and random strings.
Generate Attractive Random Colors
Simple methods to generate attractive random colors. The random colors are from a wrapper of 'randomColor.js' < https://github.com/davidmerfield/randomColor>. In addition, it also generates optimally distinct colors based on k-means (inspired by 'IWantHue' < https://github.com/medialab/iwanthue>).
Biased Urn Model Distributions
Statistical models of biased sampling in the form of
univariate and multivariate noncentral hypergeometric distributions,
including Wallenius' noncentral hypergeometric distribution and
Fisher's noncentral hypergeometric distribution.
See vignette("UrnTheory") for explanation of these distributions.
Literature:
Fog, A. (2008a). Calculation Methods for Wallenius' Noncentral Hypergeometric Distribution, Communications in Statistics, Simulation and Computation, 37(2)