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r-grpss
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Contains the tools to screen grouped variables, and select screened grouped variables afterwards. The main function grpss() can perform the grouped variables screening as well as selection for ultra-high dimensional data with group structure. The screening step is primarily used to reduce the dimensions of data so that the selection procedure can easily handle the moderate or low dimensions instead of ultra-high dimensions.
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2025-04-22 |
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r-grpregoverlap
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public |
Fit the regularization path of linear, logistic or Cox models with overlapping grouped covariates based on the latent group lasso approach. Latent group MCP/SCAD as well as bi-level selection methods, namely the group exponential lasso and the composite MCP are also available. This package serves as an extension of R package 'grpreg' (by Dr. Patrick Breheny <[email protected]>) for grouped variable selection involving overlaps between groups.
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2025-04-22 |
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r-grplasso
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public |
Fits user-specified (GLM-) models with group lasso penalty.
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2025-04-22 |
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r-growthrate
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public |
A nonparametric empirical Bayes method for recovering gradients (or growth velocities) from observations of smooth functions (e.g., growth curves) at isolated time points.
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2025-04-22 |
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r-growthmodels
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A compilation of nonlinear growth models used in many areas
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2025-04-22 |
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r-grouptest
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Contains functions for a two-stage multiple testing procedure for grouped hypothesis, aiming at controlling both the total posterior false discovery rate and within-group false discovery rate.
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2025-04-22 |
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r-groupica
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public |
Contains an implementation of an independent component analysis (ICA) for grouped data. The main function groupICA() performs a blind source separation, by maximizing an independence across sources and allows to adjust for varying confounding for user-specified groups. Additionally, the package contains the function uwedge() which can be used to approximately jointly diagonalize a list of matrices. For more details see the project website <https://sweichwald.de/groupICA/>.
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2025-04-22 |
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r-grouped
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public |
Regression models for grouped and coarse data, under the Coarsened At Random assumption.
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2025-04-22 |
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r-grnn
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public |
The program GRNN implements the algorithm proposed by Specht (1991).
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2025-04-22 |
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r-grimport2
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public |
Functions for importing external vector images and drawing them as part of 'R' plots. This package is different from the 'grImport' package because, where that package imports 'PostScript' format images, this package imports 'SVG' format images. Furthermore, this package imports a specific subset of 'SVG', so external images must be preprocessed using a package like 'rsvg' to produce 'SVG' that this package can import. 'SVG' features that are not supported by 'R' graphics, e.g., gradient fills, can be imported and then exported via the 'gridSVG' package.
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2025-04-22 |
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r-grimport
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public |
Functions for converting, importing, and drawing PostScript pictures in R plots.
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2025-04-22 |
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r-gridsvg
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public |
Functions to export graphics drawn with package grid to SVG format. Additional functions provide access to SVG features that are not available in standard R graphics, such as hyperlinks, animation, filters, masks, clipping paths, and gradient and pattern fills.
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2025-04-22 |
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r-gridgraphics
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public |
Functions to convert a page of plots drawn with the 'graphics' package into identical output drawn with the 'grid' package. The result looks like the original 'graphics'-based plot, but consists of 'grid' grobs and viewports that can then be manipulated with 'grid' functions (e.g., edit grobs and revisit viewports).
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2025-04-22 |
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r-gridbezier
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public |
Functions for rendering Bezier curves (Pomax, 2018) <https://pomax.github.io/bezierinfo/> in 'grid'. There is support for both quadratic and cubic Bezier curves. There are also functions for calculating points on curves, tangents to curves, and normals to curves.
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2025-04-22 |
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r-grex
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public |
Convert 'Ensembl' gene identifiers from Genotype-Tissue Expression (GTEx) data to identifiers in other annotation systems, including 'Entrez', 'HGNC', and 'UniProt'.
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2025-04-22 |
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r-gremlin
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public |
Fit linear mixed-effects models using restricted (or residual) maximum likelihood (REML) and with generalized inverse matrices to specify covariance structures for random effects. In particular, the package is suited to fit quantitative genetic mixed models, often referred to as 'animal models' (Kruuk. 2004 <DOI: 10.1098/rstb.2003.1437>). Implements the average information algorithm as the main tool to maximize the restricted likelihood, but with other algorithms available (Meyer. 1997. Genet Sel Evol 29:97; Meyer and Smith. 1998. Genet Sel Evol 28:23.).
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2025-04-22 |
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r-greenclust
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public |
Implements a method of iteratively collapsing the rows of a contingency table, two at a time, by selecting the pair of categories whose combination yields a new table with the smallest loss of chi-squared, as described by Greenacre, M.J. (1988) <doi:10.1007/BF01901670>. The result is compatible with the class of object returned by the 'stats' package's hclust() function and can be used similarly (plotted as a dendrogram, cut, etc.). Additional functions are provided for automatic cutting and diagnostic plotting.
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2025-04-22 |
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r-greedyexperimentaldesignjars
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public |
These are GreedyExperimentalDesign Java dependency libraries. Note: this package has no functionality of its own and should not be installed as a standalone package without GreedyExperimentalDesign.
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2025-04-22 |
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r-grcdata
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public |
We implement two main functions. The first function uses a given grouped and/or right-censored grouping scheme and empirical data to infer parameters, and implements chi-square goodness-of-fit tests. The second function searches for the global optimal grouping scheme of grouped and/or right-censored count responses in surveys.
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2025-04-22 |
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r-graticule
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public |
Create graticule lines and labels for maps. Control the creation of lines by setting their placement (at particular meridians and parallels) and extent (along parallels and meridians). Labels are created independently of lines.
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2025-04-22 |
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r-grassmannoptim
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public |
Optimizing a function F(U), where U is a semi-orthogonal matrix and F is invariant under an orthogonal transformation of U
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2025-04-22 |
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r-graphicsqc
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public |
Functions to generate graphics files, compare them with "model" files, and report the results, including visual and textual diffs of any differences.
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2025-04-22 |
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r-graphfactor
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public |
A Network Implementation of Fuzzy Sets: Build Network Objects from Multivariate Flat Files. For more information on fuzzy sets, refer to: Zadeh, L.A. (1964) <DOI:10.1016/S0019-9958(65)90241-X>.
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2025-04-22 |
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r-grapher
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public |
A multi-platform user interface for drawing highly customizable graphs in R. It aims to be a valuable help to quickly draw publishable graphs without any knowledge of R commands. Six kinds of graph are available: histogram, box-and-whisker plot, bar plot, pie chart, curve and scatter plot.
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2025-04-22 |
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r-grapfa
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gRapfa is for modelling discrete longitudinal data using acyclic probabilistic finite automata (APFA). The package contains functions for constructing APFA models from a given data using penalized likelihood methods. For graphical display of APFA models, gRapfa depends on 'igraph package'. gRapfa also contains an interface function to Beagle software that implements an efficient model selection algorithm.
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2025-04-22 |
