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r-lda
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Implements latent Dirichlet allocation (LDA) and related models. This includes (but is not limited to) sLDA, corrLDA, and the mixed-membership stochastic blockmodel. Inference for all of these models is implemented via a fast collapsed Gibbs sampler written in C. Utility functions for reading/writing data typically used in topic models, as well as tools for examining posterior distributions are also included.
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2025-03-25 |
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r-latticeextra
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Building on the infrastructure provided by the lattice package, this package provides several new high-level functions and methods, as well as additional utilities such as panel and axis annotation functions.
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2025-03-25 |
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r-lasso2
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Routines and documentation for solving regression problems while imposing an L1 constraint on the estimates, based on the algorithm of Osborne et al. (1998)
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2025-03-25 |
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r-lars
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Efficient procedures for fitting an entire lasso sequence with the cost of a single least squares fit. Least angle regression and infinitesimal forward stagewise regression are related to the lasso, as described in the paper below.
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2025-03-25 |
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r-lambda.r
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A language extension to efficiently write functional programs in R. Syntax extensions include multi-part function definitions, pattern matching, guard statements, built-in (optional) type safety.
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2025-03-25 |
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r-kmsurv
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Data sets and functions for Klein and Moeschberger (1997), "Survival Analysis, Techniques for Censored and Truncated Data", Springer.
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2025-03-25 |
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r-km.ci
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Computes various confidence intervals for the Kaplan-Meier estimator, namely: Petos CI, Rothman CI, CI's based on Greenwoods variance, Thomas and Grunkemeier CI and the simultaneous confidence bands by Nair and Hall and Wellner.
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2025-03-25 |
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r-keras
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Interface to 'Keras' <https://keras.io>, a high-level neural networks 'API'. 'Keras' was developed with a focus on enabling fast experimentation, supports both convolution based networks and recurrent networks (as well as combinations of the two), and runs seamlessly on both 'CPU' and 'GPU' devices.
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2025-03-25 |
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r-jpeg
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This package provides an easy and simple way to read, write and display bitmap images stored in the JPEG format. It can read and write both files and in-memory raw vectors.
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2025-03-25 |
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r-irr
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Coefficients of Interrater Reliability and Agreement for quantitative, ordinal and nominal data: ICC, Finn-Coefficient, Robinson'A, Kendall's W, Cohen's Kappa, ...
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2025-03-25 |
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r-irlba
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Fast and memory efficient methods for truncated singular value decomposition and principal components analysis of large sparse and dense matrices.
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2025-03-25 |
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r-inum
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Enum-type representation of vectors and representation of intervals, including a method of coercing variables in data frames.
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2025-03-25 |
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r-inline
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Functionality to dynamically define R functions and S4 methods with 'inlined' C, C++ or Fortran code supporting the .C and .Call calling conventions.
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2025-03-25 |
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r-infotheo
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This package implements various measures of information theory based on several entropy estimators.
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2025-03-25 |
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r-influencer
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Provides functionality to compute various node centrality measures on networks. Included are functions to compute betweenness centrality (by utilizing Madduri and Bader's SNAP library), implementations of Burt's constraint and effective network size (ENS) metrics, Borgatti's algorithm to identify key players, and Valente's bridging metric. On Unix systems, the betweenness, Key Players, and bridging implementations are parallelized with OpenMP, which may run faster on systems which have OpenMP configured.
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2025-03-25 |
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r-hunspell
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Low level spell checker and morphological analyzer based on the famous 'hunspell' library <https://hunspell.github.io>. The package can analyze or check individual words as well as parse text, latex, html or xml documents. For a more user-friendly interface use the 'spelling' package which builds on this package to automate checking of files, documentation and vignettes in all common formats.
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2025-03-25 |
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r-htmltable
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Tables with state-of-the-art layout elements such as row spanners, column spanners, table spanners, zebra striping, and more. While allowing advanced layout, the underlying css-structure is simple in order to maximize compatibility with word processors such as 'MS Word' or 'LibreOffice'. The package also contains a few text formatting functions that help outputting text compatible with HTML/LaTeX.
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2025-03-25 |
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r-htmltab
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HTML tables are a valuable data source but extracting and recasting these data into a useful format can be tedious. This package allows to collect structured information from HTML tables. It is similar to readHTMLTable() of the XML package but provides three major advantages. First, the function automatically expands row and column spans in the header and body cells. Second, users are given more control over the identification of header and body rows which will end up in the R table, including semantic header information that appear throughout the body. Third, the function preprocesses table code, corrects common types of malformations, removes unneeded parts and so helps to alleviate the need for tedious post-processing.
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2025-03-25 |
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r-hmisc
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Contains many functions useful for data analysis, high-level graphics, utility operations, functions for computing sample size and power, importing and annotating datasets, imputing missing values, advanced table making, variable clustering, character string manipulation, conversion of R objects to LaTeX and html code, and recoding variables.
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2025-03-25 |
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r-hermite
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Probability functions and other utilities for the generalized Hermite distribution.
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2025-03-25 |
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r-haven
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Import foreign statistical formats into R via the embedded 'ReadStat' C library, <https://github.com/WizardMac/ReadStat>.
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2025-03-25 |
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r-haplo.stats
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Routines for the analysis of indirectly measured haplotypes. The statistical methods assume that all subjects are unrelated and that haplotypes are ambiguous (due to unknown linkage phase of the genetic markers). The main functions are: haplo.em(), haplo.glm(), haplo.score(), and haplo.power(); all of which have detailed examples in the vignette.
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2025-03-25 |
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r-h2o
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R interface for 'H2O', the scalable open source machine learning platform that offers parallelized implementations of many supervised and unsupervised machine learning algorithms such as Generalized Linear Models, Gradient Boosting Machines (including XGBoost), Random Forests, Deep Neural Networks (Deep Learning), Stacked Ensembles, Naive Bayes, Cox Proportional Hazards, K-Means, PCA, Word2Vec, as well as a fully automatic machine learning algorithm (AutoML).
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2025-03-25 |
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r-gsubfn
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The gsubfn function is like gsub but can take a replacement function or certain other objects instead of the replacement string. Matches and back references are input to the replacement function and replaced by the function output. gsubfn can be used to split strings based on content rather than delimiters and for quasi-perl-style string interpolation. The package also has facilities for translating formulas to functions and allowing such formulas in function calls instead of functions. This can be used with R functions such as apply, sapply, lapply, optim, integrate, xyplot, Filter and any other function that expects another function as an input argument or functions like cat or sql calls that may involve strings where substitution is desirable. There is also a facility for returning multiple objects from functions and a version of transform that allows the RHS to refer to LHS used in the same transform.
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2025-03-25 |
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r-gridextra
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Provides a number of user-level functions to work with "grid" graphics, notably to arrange multiple grid-based plots on a page, and draw tables.
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2025-03-25 |
