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r-ismev
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Functions to support the computations carried out in `An Introduction to Statistical Modeling of Extreme Values' by Stuart Coles. The functions may be divided into the following groups; maxima/minima, order statistics, peaks over thresholds and point processes.
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2025-04-22 |
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r-varselrf
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Variable selection from random forests using both backwards variable elimination (for the selection of small sets of non-redundant variables) and selection based on the importance spectrum (somewhat similar to scree plots; for the selection of large, potentially highly-correlated variables). Main applications in high-dimensional data (e.g., microarray data, and other genomics and proteomics applications).
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2025-04-22 |
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r-ccp
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Significance tests for canonical correlation analysis, including asymptotic tests and a Monte Carlo method
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2025-04-22 |
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r-gfa
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Factor analysis implementation for multiple data sources, i.e., for groups of variables. The whole data analysis pipeline is provided, including functions and recommendations for data normalization and model definition, as well as missing value prediction and model visualization. The model group factor analysis (GFA) is inferred with Gibbs sampling, and it has been presented originally by Virtanen et al. (2012), and extended in Klami et al. (2015) <DOI:10.1109/TNNLS.2014.2376974> and Bunte et al. (2016) <DOI:10.1093/bioinformatics/btw207>; for details, see the citation info.
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2025-04-22 |
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r-uniqtag
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For each string in a set of strings, determine a unique tag that is a substring of fixed size k unique to that string, if it has one. If no such unique substring exists, the least frequent substring is used. If multiple unique substrings exist, the lexicographically smallest substring is used. This lexicographically smallest substring of size k is called the "UniqTag" of that string.
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2025-04-22 |
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pyrxp
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Python RXP interface - fast validating XML parser
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2025-04-22 |
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yaehmop
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public |
Yet Another extended Hueckel Molecular Orbital Package
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2025-04-22 |
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go-dep
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The Go dependency management tool
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2025-04-22 |
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r-isa2
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The ISA is a biclustering algorithm that finds modules in an input matrix. A module or bicluster is a block of the reordered input matrix.
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2025-04-22 |
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r-repo
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A data manager meant to avoid manual storage/retrieval of data to/from the file system. It builds one (or more) centralized repository where R objects are stored with rich annotations, including corresponding code chunks, and easily searched and retrieved.
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2025-04-22 |
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r-hh
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Support software for Statistical Analysis and Data Display (Second Edition, Springer, ISBN 978-1-4939-2121-8, 2015) and (First Edition, Springer, ISBN 0-387-40270-5, 2004) by Richard M. Heiberger and Burt Holland. This contemporary presentation of statistical methods features extensive use of graphical displays for exploring data and for displaying the analysis. The second edition includes redesigned graphics and additional chapters. The authors emphasize how to construct and interpret graphs, discuss principles of graphical design, and show how accompanying traditional tabular results are used to confirm the visual impressions derived directly from the graphs. Many of the graphical formats are novel and appear here for the first time in print. All chapters have exercises. All functions introduced in the book are in the package. R code for all examples, both graphs and tables, in the book is included in the scripts directory of the package.
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2025-04-22 |
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r-rsnns
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The Stuttgart Neural Network Simulator (SNNS) is a library containing many standard implementations of neural networks. This package wraps the SNNS functionality to make it available from within R. Using the 'RSNNS' low-level interface, all of the algorithmic functionality and flexibility of SNNS can be accessed. Furthermore, the package contains a convenient high-level interface, so that the most common neural network topologies and learning algorithms integrate seamlessly into R.
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2025-04-22 |
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r-rmixmod
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Interface of 'MIXMOD' software for supervised, unsupervised and semi-supervised classification with mixture modelling.
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2025-04-22 |
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r-sparseinv
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Creates a wrapper for the 'SuiteSparse' routines that execute the Takahashi equations. These equations compute the elements of the inverse of a sparse matrix at locations where the its Cholesky factor is structurally non-zero. The resulting matrix is known as a sparse inverse subset. Some helper functions are also implemented. Support for spam matrices is currently limited and will be implemented in the future. See Rue and Martino (2007) <doi:10.1016/j.jspi.2006.07.016> and Zammit-Mangion and Rougier (2018) <doi:10.1016/j.csda.2018.02.001> for the application of these equations to statistics.
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2025-04-22 |
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r-plsvarsel
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public |
Interfaces and methods for variable selection in Partial Least Squares. The methods include filter methods, wrapper methods and embedded methods. Both regression and classification is supported.
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2025-04-22 |
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r-randtests
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Several non parametric randomness tests for numeric sequences
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2025-04-22 |
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r-howmany
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When testing multiple hypotheses simultaneously, this package provides functionality to calculate a lower bound for the number of correct rejections (as a function of the number of rejected hypotheses), which holds simultaneously -with high probability- for all possible number of rejections. As a special case, a lower bound for the total number of false null hypotheses can be inferred. Dependent test statistics can be handled for multiple tests of associations. For independent test statistics, it is sufficient to provide a list of p-values.
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2025-04-22 |
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r-ipflasso
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The core of the package is cvr2.ipflasso(), an extension of glmnet to be used when the (large) set of available predictors is partitioned into several modalities which potentially differ with respect to their information content in terms of prediction. For example, in biomedical applications patient outcome such as survival time or response to therapy may have to be predicted based on, say, mRNA data, miRNA data, methylation data, CNV data, clinical data, etc. The clinical predictors are on average often much more important for outcome prediction than the mRNA data. The ipflasso method takes this problem into account by using different penalty parameters for predictors from different modalities. The ratio between the different penalty parameters can be chosen by cross-validation.
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2025-04-22 |
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r-randomizr
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Generates random assignments for common experimental designs and random samples for common sampling designs.
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2025-04-22 |
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r-fabricatr
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Helps you imagine your data before you collect it. Hierarchical data structures and correlated data can be easily simulated, either from random number generators or by resampling from existing data sources. This package is faster with 'data.table' and 'mvnfast' installed.
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2025-04-22 |
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r-margins
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An R port of Stata's 'margins' command, which can be used to calculate marginal (or partial) effects from model objects.
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2025-04-22 |
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r-quandl
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Functions for interacting directly with the Quandl API to offer data in a number of formats usable in R, downloading a zip with all data from a Quandl database, and the ability to search. This R package uses the Quandl API. For more information go to <https://www.quandl.com/docs/api>. For more help on the package itself go to <https://www.quandl.com/help/r>.
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2025-04-22 |
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r-hrbrthemes
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A compilation of extra 'ggplot2' themes, scales and utilities, including a spell check function for plot label fields and an overall emphasis on typography. A copy of the 'Google' font 'Roboto Condensed' <https://github.com/google/roboto/> is also included along with a copy of the 'IBM' 'Plex Sans' <https://github.com/IBM/type> and 'Titillium Web' <https://fonts.google.com/specimen/Titillium+Web> fonts are also included to support their respective typography-oriented themes.
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2025-04-22 |
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r-spotifyr
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An R wrapper for pulling data from the 'Spotify' Web API <http://developer.spotify.com/web-api> in bulk. It allows you to enter an artist's name and retrieve their entire discography in seconds, along with audio features and lyrics from Genius Lyrics <https://www.genius.com>. You can also pull song and playlist information for a given 'Spotify' user.
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2025-04-22 |
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r-mosaicdata
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Data sets from Project MOSAIC (<http://mosaic-web.org>) used to teach mathematics, statistics, computation and modeling. Funded by the NSF, Project MOSAIC is a community of educators working to tie together aspects of quantitative work that students in science, technology, engineering and mathematics will need in their professional lives, but which are usually taught in isolation, if at all.
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2025-04-22 |
