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r-regsubseq
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For a sequence of event occurence times, we are interested in finding subsequences in it that are too "regular". We define regular as being significantly different from a homogeneous Poisson process. The departure from the Poisson process is measured using a L1 distance. See Di and Perlman 2007 for more details.
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2025-04-22 |
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r-regspec
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Computes linear Bayesian spectral estimates from multirate data for second-order stationary time series. Provides credible intervals and methods for plotting various spectral estimates.
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2025-04-22 |
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r-regsel
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Functions for fitting linear and generalized linear models with variable selection. The functions can automatically do Stepwise Regression, Lasso or Elastic Net as variable selection methods. Lasso and Elastic net are improved and handle factors better (they can either include or exclude all factor levels).
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2025-04-22 |
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r-regressionfactory
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The expander functions rely on the mathematics developed for the Hessian-definiteness invariance theorem for linear projection transformations of variables, described in authors' paper, to generate the full, high-dimensional gradient and Hessian from the lower-dimensional derivative objects. This greatly relieves the computational burden of generating the regression-function derivatives, which in turn can be fed into any optimization routine that utilizes such derivatives. The theorem guarantees that Hessian definiteness is preserved, meaning that reasoning about this property can be performed in the low-dimensional space of the base distribution. This is often a much easier task than its equivalent in the full, high-dimensional space. Definiteness of Hessian can be useful in selecting optimization/sampling algorithms such as Newton-Raphson optimization or its sampling equivalent, the Stochastic Newton Sampler. Finally, in addition to being a computational tool, the regression expansion framework is of conceptual value by offering new opportunities to generate novel regression problems.
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2025-04-22 |
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r-regress
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Functions to fit Gaussian linear model by maximising the residual log likelihood where the covariance structure can be written as a linear combination of known matrices. Can be used for multivariate models and random effects models. Easy straight forward manner to specify random effects models, including random interactions. Code now optimised to use Sherman Morrison Woodbury identities for matrix inversion in random effects models. We've added the ability to fit models using any kernel as well as a function to return the mean and covariance of random effects conditional on the data (BLUPs).
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2025-04-22 |
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r-regpro
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Tools are provided for (1) nonparametric regression (kernel, local linear), (2) semiparametric regression (single index, additive models), and (3) quantile regression (linear, kernel).
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2025-04-22 |
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r-regexselect
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'shiny' extension that adds regular expression filtering capabilities to the choice vector of the select list.
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2025-04-22 |
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r-regexpipes
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Provides wrappers around base::grep() where the first argument is standardized to take the data object. This makes it less of a pain to use regular expressions with 'magrittr' or other pipe operators.
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2025-04-22 |
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r-regent
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Produces population distribution of disease risk and statistical risk categories, and predicts risks for individuals with genotype information.
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2025-04-22 |
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r-regclust
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This package clusters regression coefficients using the methods of clustering through linear regression models (CLM) (Qin and Self 2006). Maximum likelihood approach is used to infer the parameters for each cluster. Bayesian information criterion (BIC) combined with Bootstrapped maximum volume (BMV) criterion are used to determine the number of clusters.
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2025-04-22 |
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r-refset
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Provides subsets with reference semantics, i.e. subsets which automatically reflect changes in the original object, and which optionally update the original object when they are changed.
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2025-04-22 |
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r-refnr
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A tool for refining data frame with formulas.
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2025-04-22 |
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r-refmanager
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Provides tools for importing and working with bibliographic references. It greatly enhances the 'bibentry' class by providing a class 'BibEntry' which stores 'BibTeX' and 'BibLaTeX' references, supports 'UTF-8' encoding, and can be easily searched by any field, by date ranges, and by various formats for name lists (author by last names, translator by full names, etc.). Entries can be updated, combined, sorted, printed in a number of styles, and exported. 'BibTeX' and 'BibLaTeX' '.bib' files can be read into 'R' and converted to 'BibEntry' objects. Interfaces to 'NCBI Entrez', 'CrossRef', and 'Zotero' are provided for importing references and references can be created from locally stored 'PDF' files using 'Poppler'. Includes functions for citing and generating a bibliography with hyperlinks for documents prepared with 'RMarkdown' or 'RHTML'.
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2025-04-22 |
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r-reffreeewas
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Reference-free method for conducting EWAS while deconvoluting DNA methylation arising as mixtures of cell types. The older method (Houseman et al., 2014,<doi:10.1093/bioinformatics/btu029>) is similar to surrogate variable analysis (SVA and ISVA), except that it makes additional use of a biological mixture assumption. The newer method (Houseman et al., 2016, <doi:10.1186/s12859-016-1140-4>) is similar to non-negative matrix factorization, with additional constraints and additional utilities.
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2025-04-22 |
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r-reemtree
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This package estimates regression trees with random effects as a way to use data mining techniques to describe longitudinal or panel data.
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2025-04-22 |
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r-redmonder
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Provide color schemes for maps (and other graphics) based on the color palettes of several Microsoft(r) products. Forked from 'RColorBrewer' v1.1-2.
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2025-04-22 |
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r-redas
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Provides functions used in the 'R: Einführung durch angewandte Statistik' (second edition).
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2025-04-22 |
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r-records
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Functions for generating k-record values and k-record times
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2025-04-22 |
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r-recorder
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A lightweight toolkit to validate new observations when computing their predictions with a predictive model. The validation process consists of two steps: (1) record relevant statistics and meta data of the variables in the original training data for the predictive model and (2) use these data to run a set of basic validation tests on the new set of observations.
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2025-04-22 |
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r-recombinator
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Turns nested lists into data.frames in an orderly manner.
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2025-04-22 |
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r-recoder
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Simple, easy to use, and flexible functionality for recoding variables. It allows for simple piecewise definition of transformations.
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2025-04-22 |
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r-recipa
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Pathways in a database could have many redundancies among them. This package allows the user to set a maximum value for the proportion of these redundancies.
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2025-04-22 |
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r-rechonest
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The 'Echo nest' <http://the.echonest.com> is the industry's leading music intelligence company, providing developer with deepest understanding of music content and music fans. This package can be used to access artist's data including songs, blogs, news, reviews etc. Song's data including audio summary, style, danceability, tempo etc can also be accessed.
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2025-04-22 |
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r-reca
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Relevant Component Analysis (RCA) tries to find a linear transformation of the feature space such that the effect of irrelevant variability is reduced in the transformed space.
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2025-04-22 |
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r-rebus.base
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Build regular expressions piece by piece using human readable code. This package contains core functionality, and is primarily intended to be used by package developers.
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2025-04-22 |
