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r-genalg
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public |
R based genetic algorithm for binary and floating point chromosomes.
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2025-04-22 |
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r-gen2stage
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One can find single-stage and two-stage designs for a phase II single-arm study with either efficacy or safety/toxicity endpoints as described in Kim and Wong (2019) <doi:10.29220/CSAM.2019.26.2.163>.
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2025-04-22 |
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r-geem
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GEE estimation of the parameters in mean structures with possible correlation between the outcomes. User-specified mean link and variance functions are allowed, along with observation weighting. The 'M' in the name 'geeM' is meant to emphasize the use of the Matrix package, which allows for an implementation based fully in R.
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2025-04-22 |
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r-gds
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Contains a function called gds() which accepts three input parameters like lower limits, upper limits and the frequencies of the corresponding classes. The gds() function calculate and return the values of mean ('gmean'), median ('gmedian'), mode ('gmode'), variance ('gvar'), standard deviation ('gstdev'), coefficient of variance ('gcv'), quartiles ('gq1', 'gq2', 'gq3'), inter-quartile range ('gIQR'), skewness ('g1'), and kurtosis ('g2') which facilitate effective data analysis. For skewness and kurtosis calculations we use moments.
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2025-04-22 |
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r-gdns
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To address the problem of insecurity of 'UDP'-based 'DNS' requests, 'Google Public DNS' offers 'DNS' resolution over an encrypted 'HTTPS' connection. 'DNS-over-HTTPS' greatly enhances privacy and security between a client and a recursive resolver, and complements 'DNSSEC' to provide end-to-end authenticated 'DNS' lookups. Functions that enable querying individual requests that bulk requests that return detailed responses and bulk requests are both provided. Support for reverse lookups is also provided. See <https://developers.google.com/speed/public-dns/docs/dns-over-https> for more information.
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2025-04-22 |
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r-gdistance
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Calculate distances and routes on geographic grids.
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2025-04-22 |
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r-g.data
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Create and maintain delayed-data packages (ddp's). Data stored in a ddp are available on demand, but do not take up memory until requested. You attach a ddp with g.data.attach(), then read from it and assign to it in a manner similar to S-PLUS, except that you must run g.data.save() to actually commit to disk.
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2025-04-22 |
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r-gdadata
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Datasets used in the book 'Graphical Data Analysis with R' (Antony Unwin, CRC Press 2015).
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2025-04-22 |
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r-gd
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Geographical detectors for measuring spatial stratified heterogeneity, as described in Jinfeng Wang (2010) <doi:10.1080/13658810802443457> and Jinfeng Wang (2016) <doi:10.1016/j.ecolind.2016.02.052>. Includes the optimal discretization of continuous data, four primary functions of geographical detectors, comparison of size effects of spatial unit and the visualizations of results. The descriptions of the package, methods and case datasets refer to the citation information below.
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2025-04-22 |
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r-gcookbook
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Data sets used in the book "R Graphics Cookbook" by Winston Chang, published by O'Reilly Media.
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2025-04-22 |
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r-gclus
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public |
Orders panels in scatterplot matrices and parallel coordinate displays by some merit index. Package contains various indices of merit, ordering functions, and enhanced versions of pairs and parcoord which color panels according to their merit level.
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2025-04-22 |
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r-gcd
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Contains the Global Charcoal database data. Data include charcoal series (age, depth, charcoal quantity, associated units and methods) and information on sedimentary sites (localisation, depositional environment, biome, etc.) as well as publications informations. Since 4.0.0 the GCD mirrors the online SQL database at <http://paleofire.org>.
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2025-04-22 |
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r-gcai.bias
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Many inherited biases and effects exists in RNA-seq due to both biological and technical effects. We observed the biological variance of testing target transcripts can influence the yield of sequencing reads, which might indicate a resource competition existing in RNA-seq. We developed this package to capture the bias depending on local sequence and perform the correction of this type of bias by borrowing information from spike-in measurement.
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2025-04-22 |
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r-gbrd
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Provides utilities for processing Rd objects and files. Extract argument descriptions and other parts of the help pages of functions.
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2025-04-22 |
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r-gaussianhmm1d
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Inference, goodness-of-fit test, and prediction densities and intervals for univariate Gaussian Hidden Markov Models (HMM). The goodness-of-fit is based on a Cramer-von Mises statistic and uses parametric bootstrap to estimate the p-value. The description of the methodology is taken from Chapter 10.2 of Remillard (2013) <doi:10.1201/b14285>.
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2025-04-22 |
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r-gaussfacts
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Display a random fact about Carl Friedrich Gauss based the on collection curated by Mike Cavers via the <http://gaussfacts.com> site.
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2025-04-22 |
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r-gaussdiff
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A collection difference measures for multivariate Gaussian probability density functions, such as the Euclidea mean, the Mahalanobis distance, the Kullback-Leibler divergence, the J-Coefficient, the Minkowski L2-distance, the Chi-square divergence and the Hellinger Coefficient.
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2025-04-22 |
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r-gatepoints
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Allows user to choose/gate a region on the plot and returns points within it.
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2025-04-22 |
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r-garray
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Organize a so-called ragged array as generalized arrays, which is simply an array with sub-dimensions denoting the subdivision of dimensions (grouping of members within dimensions). By the margins (names of dimensions and sub-dimensions) in generalized arrays, operators and utility functions provided in this package automatically match the margins, doing map-reduce style parallel computation along margins. Generalized arrays are also cooperative to R's native functions that work on simple arrays.
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2025-04-22 |
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r-gar
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The functions included are used to obtain initial authentication with Google Analytics as well as simple and organized data retrieval from the API. Allows for retrieval from multiple profiles at once.
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2025-04-22 |
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r-gap.datasets
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Datasets associated with the 'gap' package. Currently, it includes an example data for regional association plot (CDKN), an example data for a genomewide association meta-analysis (OPG), Manhattan plots with (hr1420, mhtdata) and without (w4) gene annotations.
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2025-04-22 |
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r-gaparsimony
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Methodology that combines feature selection, model tuning, and parsimonious model selection with Genetic Algorithms (GA) proposed in {Martinez-de-Pison} (2015) <DOI:10.1016/j.asoc.2015.06.012>. To this objective, a novel GA selection procedure is introduced based on separate cost and complexity evaluations.
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2025-04-22 |
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r-ganpadata
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This is a dataset package for GANPA, which implements a network-based gene weighting approach to pathway analysis. This package includes data useful for GANPA, such as a functional association network, pathways, an expression dataset and multi-subunit proteins.
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2025-04-22 |
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r-gamrr
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To calculate the relative risk (RR) for the generalized additive model.
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2025-04-22 |
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r-gamm4
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Estimate generalized additive mixed models via a version of function gamm() from 'mgcv', using 'lme4' for estimation.
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2025-04-22 |
