conda-forge / packages

Package Name Access Summary Updated
r-fselector public Functions for selecting attributes from a given dataset. Attribute subset selection is the process of identifying and removing as much of the irrelevant and redundant information as possible. 2019-07-21
r-fpp2 public All data sets required for the examples and exercises in the book "Forecasting: principles and practice" by Rob J Hyndman and George Athanasopoulos <>. All packages required to run the examples are also loaded. 2019-07-21
r-forestplot public A forest plot that allows for multiple confidence intervals per row, custom fonts for each text element, custom confidence intervals, text mixed with expressions, and more. The aim is to extend the use of forest plots beyond meta-analyses. This is a more general version of the original 'rmeta' package's forestplot() function and relies heavily on the 'grid' package. 2019-07-21
r-ggalt public A compendium of new geometries, coordinate systems, statistical transformations, scales and fonts for 'ggplot2', including splines, 1d and 2d densities, univariate average shifted histograms, a new map coordinate system based on the 'PROJ.4'-library along with geom_cartogram() that mimics the original functionality of geom_map(), formatters for "bytes", a stat_stepribbon() function, increased 'plotly' compatibility and the 'StateFace' open source font 'ProPublica'. Further new functionality includes lollipop charts, dumbbell charts, the ability to encircle points and coordinate-system-based text annotations. 2019-07-21
r-gbm public An implementation of extensions to Freund and Schapire's AdaBoost algorithm and Friedman's gradient boosting machine. Includes regression methods for least squares, absolute loss, t-distribution loss, quantile regression, logistic, multinomial logistic, Poisson, Cox proportional hazards partial likelihood, AdaBoost exponential loss, Huberized hinge loss, and Learning to Rank measures (LambdaMart). Originally developed by Greg Ridgeway. 2019-07-21
megaradrp public MEGARA Data Reduction Pipeline 2019-07-21
r-genabel public a package for genome-wide association analysis between quantitative or binary traits and single-nucleotide polymorphisms (SNPs). 2019-07-21
r-gam public Functions for fitting and working with generalized additive models, as described in chapter 7 of "Statistical Models in S" (Chambers and Hastie (eds), 1991), and "Generalized Additive Models" (Hastie and Tibshirani, 1990). 2019-07-21
r-genkern public Computes generalised KDEs 2019-07-21
phonopy public Phonopy is an open source package for phonon calculations at harmonic and quasi-harmonic levels. 2019-07-21
r-geor public Geostatistical analysis including traditional, likelihood-based and Bayesian methods. 2019-07-21
r-genlasso public Provides fast algorithms for computing the solution path for generalized lasso problems. Important use cases are the fused lasso over an arbitrary graph, and trend fitting of any given polynomial order. Specialized implementations for the latter two problems are given to improve stability and speed. 2019-07-21
r-proxyc public Computes proximity between rows or columns of large matrices efficiently in C++. Functions are optimised for large sparse matrices using the Armadillo and Intel TBB libraries. Among several built-in similarity/distance measures, computation of correlation, cosine similarity and Euclidean distance is particularly fast. 2019-07-21
r-future.batchtools public Implementation of the Future API on top of the 'batchtools' package. This allows you to process futures, as defined by the 'future' package, in parallel out of the box, not only on your local machine or ad-hoc cluster of machines, but also via high-performance compute ('HPC') job schedulers such as 'LSF', 'OpenLava', 'Slurm', 'SGE', and 'TORQUE' / 'PBS', e.g. 'y <- future.apply::future_lapply(files, FUN = process)'. 2019-07-21
r-furrr public Implementations of the family of map() functions from 'purrr' that can be resolved using any 'future'-supported backend, e.g. parallel on the local machine or distributed on a compute cluster. 2019-07-21
r-fuzzyjoin public Join tables together based not on whether columns match exactly, but whether they are similar by some comparison. Implementations include string distance and regular expression matching. 2019-07-21
r-gganimate public The grammar of graphics as implemented in the 'ggplot2' package has been successful in providing a powerful API for creating static visualisation. In order to extend the API for animated graphics this package provides a completely new set of grammar, fully compatible with 'ggplot2' for specifying transitions and animations in a flexible and extensible way. 2019-07-21
r-fwdselect public No Summary 2019-07-21
r-gapminder public An excerpt of the data available at For each of 142 countries, the package provides values for life expectancy, GDP per capita, and population, every five years, from 1952 to 2007. 2019-07-21
r-gdistance public Calculate distances and routes on geographic grids. 2019-07-21
r-getoptlong public This is yet another command-line argument parser which wraps the powerful Perl module Getopt::Long and with some adaptation for easier use in R. It also provides a simple way for variable interpolation in R. 2019-07-21
r-genetics public Classes and methods for handling genetic data. Includes classes to represent genotypes and haplotypes at single markers up to multiple markers on multiple chromosomes. Function include allele frequencies, flagging homo/heterozygotes, flagging carriers of certain alleles, estimating and testing for Hardy-Weinberg disequilibrium, estimating and testing for linkage disequilibrium, ... 2019-07-21
r-ggalluvial public Alluvial diagrams use x-splines, sometimes augmented with stacked histograms, to visualize multi-dimensional or repeated-measures data with categorical or ordinal variables. They can be viewed as simplified and standardized Sankey diagrams; see Riehmann, Hanfler, and Froehlich (2005) <doi:10.1109/INFVIS.2005.1532152> and Rosvall and Bergstrom (2010) <doi:10.1371/journal.pone.0008694>. This package provides ggplot2 layers to produce alluvial diagrams from tidy data. 2019-07-21
r-ggconf public A flexible interface for ggplot2::theme(), potentially saving 50% of your typing. 2019-07-21
r-ggbeeswarm public Provides two methods of plotting categorical scatter plots such that the arrangement of points within a category reflects the density of data at that region, and avoids over-plotting. 2019-07-21
r-gfa public 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. 2019-07-21
r-ggedit public Interactively edit 'ggplot2' layer and theme aesthetics definitions. 2019-07-21
r-ggdistribute public The 'ggdistribute' package is an extension for plotting posterior or other types of unimodal distributions that require overlaying information about a distribution's intervals. It makes use of the 'ggproto' system to extend 'ggplot2', providing additional "geoms", "stats", and "positions." The extensions integrate with existing 'ggplot2' layer elements. 2019-07-21
r-ggextra public Collection of functions and layers to enhance 'ggplot2'. The flagship function is 'ggMarginal()', which can be used to add marginal histograms/boxplots/density plots to 'ggplot2' scatterplots. 2019-07-21
r-ggcorrplot public The 'ggcorrplot' package can be used to visualize easily a correlation matrix using 'ggplot2'. It provides a solution for reordering the correlation matrix and displays the significance level on the plot. It also includes a function for computing a matrix of correlation p-values. 2019-07-21
r-idpmisc public The IDPmisc package contains different high-level graphics functions for displaying large datasets, displaying circular data in a very flexible way, finding local maxima, brewing color ramps, drawing nice arrows, zooming 2D-plots, creating figures with differently colored margin and plot region. In addition, the package contains auxiliary functions for data manipulation like omitting observations with irregular values or selecting data by logical vectors, which include NAs. Other functions are especially useful in spectroscopy and analyses of environmental data: robust baseline fitting, finding peaks in spectra. 2019-07-21
r-gmd public GMD is a package for non-parametric distance measurement between two discrete frequency distributions. 2019-07-21
r-htree public Historical regression trees are an extension of standard trees, producing a non-parametric estimate of how the response depends on all of its prior realizations as well as that of any time-varying predictor variables. The method applies equally to regularly as well as irregularly sampled data. The package implements random forest and boosting ensembles based on historical regression trees, suitable for longitudinal data. Standard error estimation and Z-score variable importance is also implemented. 2019-07-21
r-gprofiler public Functional enrichment analysis, gene identifier conversion and mapping homologous genes across related organisms via the 'g:Profiler' toolkit (<>). 2019-07-21
r-gribr public R interface for GRIB files using ECMWF ecCodes. 2019-07-21
r-hdf5r public HDF5 is a data model, library and file format for storing and managing large amounts of data. This package provides a nearly feature complete, object oriented wrapper for the HDF5 API 2019-07-21
r-hier.part public Variance partition of a multivariate data set 2019-07-21
r-hsaur public Functions, data sets, analyses and examples from the book ''A Handbook of Statistical Analyses Using R'' (Brian S. Everitt and Torsten Hothorn, Chapman & Hall/CRC, 2006). The first chapter of the book, which is entitled ''An Introduction to R'', is completely included in this package, for all other chapters, a vignette containing all data analyses is available. 2019-07-21
r-idr public This is a package for estimating the copula mixture model and plotting correspondence curves in "Measuring reproducibility of high-throughput experiments" (2011), Annals of Applied Statistics, Vol. 5, No. 3, 1752-1779, by Li, Brown, Huang, and Bickel 2019-07-21
r-htmlutils public Facilitates automated HTML report creation, in particular framed HTML pages and dynamically sortable tables. 2019-07-21
r-ggvis public An implementation of an interactive grammar of graphics, taking the best parts of 'ggplot2', combining them with the reactive framework of 'shiny' and drawing web graphics using 'vega'. 2019-07-21
r-heatmap3 public An improved heatmap package. Completely compatible with the original R function 'heatmap', and provides more powerful and convenient features. 2019-07-21
r-grimport public Functions for converting, importing, and drawing PostScript pictures in R plots. 2019-07-21
r-gsalib public This package contains utility functions used by the Genome Analysis Toolkit (GATK) to load tables and plot data. The GATK is a toolkit for variant discovery in high-throughput sequencing data. 2019-07-21
r-gsa public Gene set analysis 2019-07-21
r-gptk public The gptk package implements a general-purpose toolkit for Gaussian process regression with a variety of covariance functions (e.g. RBF, Mattern, polynomial, etc). Based on a MATLAB implementation by Neil D. Lawrence. See inst/doc/index.html for more details. 2019-07-21
r-gglogo public Visualize sequences in (modified) logo plots. The design choices used by these logo plots allow sequencing data to be more easily analyzed. Because it is integrated into the 'ggplot2' geom framework, these logo plots support native features such as faceting. 2019-07-21
r-gghighlight public Make it easier to explore data with highlights. 2019-07-21
r-ggplotify public Convert plot function call (using expression or formula) to 'grob' or 'ggplot' object that compatible to the 'grid' and 'ggplot2' ecosystem. With this package, we are able to e.g. using 'cowplot' to align plots produced by 'base' graphics, 'grid', 'lattice', 'vcd' etc. by converting them to 'ggplot' objects. 2019-07-21
r-gpseq public Some functions for modeling sequence read counts as a generalized poisson model and to use this model for detecting differentially expressed genes in different conditions and differentially spliced exons. 2019-07-21
PRIVACY POLICY  |  EULA (Anaconda Cloud v2.33.29) © 2019 Anaconda, Inc. All Rights Reserved.