conda-forge / packages

Package Name Access Summary Updated
r-hive public No Summary 2019-07-21
r-heatmaply public Create interactive cluster 'heatmaps' that can be saved as a stand- alone HTML file, embedded in 'R Markdown' documents or in a 'Shiny' app, and available in the 'RStudio' viewer pane. Hover the mouse pointer over a cell to show details or drag a rectangle to zoom. A 'heatmap' is a popular graphical method for visualizing high-dimensional data, in which a table of numbers are encoded as a grid of colored cells. The rows and columns of the matrix are ordered to highlight patterns and are often accompanied by 'dendrograms'. 'Heatmaps' are used in many fields for visualizing observations, correlations, missing values patterns, and more. Interactive 'heatmaps' allow the inspection of specific value by hovering the mouse over a cell, as well as zooming into a region of the 'heatmap' by dragging a rectangle around the relevant area. This work is based on the 'ggplot2' and 'plotly.js' engine. It produces similar 'heatmaps' as 'heatmap.2' or 'd3heatmap', with the advantage of speed ('plotly.js' is able to handle larger size matrix), the ability to zoom from the 'dendrogram' panes, and the placing of factor variables in the sides of the 'heatmap'. 2019-07-21
r-howmany public 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. 2019-07-21
r-gwidgetsrgtk2 public Port of the gWidgets API to the RGtk2 toolkit. 2019-07-21
r-here public Constructs paths to your project's files based on heuristics. 2019-07-21
r-graphtweets public Allows building an edge table from data frame of tweets, also provides function to build nodes and another create a temporal graph. 2019-07-21
r-ggiraph public Create interactive 'ggplot2' graphics using 'htmlwidgets'. 2019-07-21
r-goric public Generalized Order-Restricted Information Criterion (GORIC) value for a set of hypotheses in multivariate linear models and generalised linear models. 2019-07-21
r-googlevis public R interface to Google's chart tools, allowing users to create interactive charts based on data frames. Charts are displayed locally via the R HTTP help server. A modern browser with an Internet connection is required and for some charts a Flash player. The data remains local and is not uploaded to Google. 2019-07-21
r-goodpractice public Give advice about good practices when building R packages. Advice includes functions and syntax to avoid, package structure, code complexity, code formatting, etc. 2019-07-21
r-googleauthr public Create R functions that interact with OAuth2 Google APIs <> easily, with auto-refresh and Shiny compatibility. 2019-07-21
r-ggresidpanel public An R package for creating panels of diagnostic plots for residuals from a model using ggplot2 and plotly to analyze residuals and model assumptions from a variety of viewpoints. It also allows for the creation of interactive diagnostic plots. 2019-07-21
r-ggupset public Replace the standard x-axis in 'ggplots' with a combination matrix to visualize complex set overlaps. 'UpSet' has introduced a new way to visualize the overlap of sets as an alternative to Venn diagrams. This package provides a simple way to produce such plots using 'ggplot2'. In addition it can convert any categorical axis into a combination matrix axis. 2019-07-21
r-ggtern public Extends the functionality of 'ggplot2', providing the capability to plot ternary diagrams for (subset of) the 'ggplot2' geometries. Additionally, 'ggtern' has implemented several NEW geometries which are unavailable to the standard 'ggplot2' release. For further examples and documentation, please proceed to the 'ggtern' website. 2019-07-21
r-ggspectra public Additional annotations, stats, geoms and scales for plotting "light" spectra with 'ggplot2', together with specializations of ggplot() and autoplot() methods for spectral data and waveband definitions stored in objects of classes defined in package 'photobiology'. Part of the 'r4photobiology' suite, Aphalo P. J. (2015) <doi:10.19232/uv4pb.2015.1.14>. 2019-07-21
r-ggpmisc public Extensions to 'ggplot2' respecting the grammar of graphics paradigm. Specialization of method ggplot(): accept and convert on the fly time series data. Geom: "table", adds tables to plots. Statistics: locate and tag peaks and valleys in 2D plots; count observations in different quadrants of a plot; select observations based on 2D density; label with the equation of a polynomial fitted with lm() or other types of models; labels with P-value, R^2 or adjusted R^2 or information criteria for fitted models; label with ANOVA table for fitted models; label with summary for fitted models. Model fit classes for which suitable methods are provided by package 'broom' are supported. 2019-07-21
r-ggpage public Facilitates the creation of page layout visualizations in which words are represented as rectangles with sizes relating to the length of the words. Which then is divided in lines and pages for easy overview of up to quite large texts. 2019-07-21
r-ggparallel public Create hammock plots, parallel sets, and common angle plots with 'ggplot2'. 2019-07-21
r-ggnetwork public Geometries to plot network objects with 'ggplot2'. 2019-07-21
r-ggmap public A collection of functions to visualize spatial data and models on top of static maps from various online sources (e.g Google Maps and Stamen Maps). It includes tools common to those tasks, including functions for geolocation and routing. 2019-07-21
r-ggmcmc public Tools for assessing and diagnosing convergence of Markov Chain Monte Carlo simulations, as well as for graphically display results from full MCMC analysis. The package also facilitates the graphical interpretation of models by providing flexible functions to plot the results against observed variables. 2019-07-21
r-ggfocus public A 'ggplot2' extension that provides tools for automatically focusing specific factor levels. 2019-07-21
r-ggjoy public Joyplots provide a convenient way of visualizing changes in distributions over time or space. This package enables the creation of such plots in 'ggplot2'. 2019-07-21
r-ggformula public Provides a formula interface to 'ggplot2' graphics. 2019-07-21
r-gggenes public Provides a 'ggplot2' geom and helper functions for drawing gene arrow maps. 2019-07-21
tomopy public Tomographic reconstruction in Python. 2019-07-21
r-xaringan public Create HTML5 slides with R Markdown and the JavaScript library 'remark.js' (<>). 2019-07-21
r-blogdown public Write blog posts and web pages in R Markdown. This package supports the static site generator 'Hugo' (<>) best, and it also supports 'Jekyll' (<>) and 'Hexo' (<>). 2019-07-20
r-ncbit public making NCBI taxonomic data locally available and searchable as an R object 2019-07-20
r-nozzle.r1 public The Nozzle package provides an API to generate HTML reports with dynamic user interface elements based on JavaScript and CSS (Cascading Style Sheets). Nozzle was designed to facilitate summarization and rapid browsing of complex results in data analysis pipelines where multiple analyses are performed frequently on big data sets. The package can be applied to any project where user-friendly reports need to be created. 2019-07-20
terraform-provider-alicloud public The Terraform AliCloud provider 2019-07-20
r-juniperkernel public Provides a full implementation of the 'Jupyter' <> messaging protocol in C++ by leveraging 'Rcpp' and 'Xeus' <>. 'Jupyter' supplies an interactive computing environment and a messaging protocol defined over 'ZeroMQ' for multiple programming languages. This package implements the 'Jupyter' kernel interface so that 'R' is exposed to this interactive computing environment. 'ZeroMQ' functionality is provided by the 'pbdZMQ' package. 'Xeus' is a C++ library that facilitates the implementation of kernels for 'Jupyter'. Additionally, 'Xeus' provides an interface to libraries that exist in the 'Jupyter' ecosystem for building widgets, plotting, and more <>. 'JuniperKernel' uses 'Xeus' as a library for the 'Jupyter' messaging protocol. 2019-07-20
r-iptools public A toolkit for manipulating, validating and testing 'IP' addresses and ranges, along with datasets relating to 'IP' addresses. Tools are also provided to map 'IPv4' blocks to country codes. While it primarily has support for the 'IPv4' address space, more extensive 'IPv6' support is intended. 2019-07-20
r-jqr public Client for 'jq', a 'JSON' processor (<>), written in C. 'jq' allows the following with 'JSON' data: index into, parse, do calculations, cut up and filter, change key names and values, perform conditionals and comparisons, and more. 2019-07-20
r-iotools public Basic I/O tools for streaming and data parsing. 2019-07-20
r-keyring public Platform independent 'API' to access the operating system's credential store. Currently supports: 'Keychain' on 'macOS', Credential Store on 'Windows', the Secret Service 'API' on 'Linux', and a simple, platform independent store implemented with environment variables. Additional storage back-ends can be added easily. 2019-07-20
r-jade public Cardoso's JADE algorithm as well as his functions for joint diagonalization are ported to R. Also several other blind source separation (BSS) methods, like AMUSE and SOBI, and some criteria for performance evaluation of BSS algorithms, are given. The package is described in Miettinen, Nordhausen and Taskinen (2017) <doi:10.18637/jss.v076.i02>. 2019-07-20
r-isa2 public 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. 2019-07-20
s-tui public Stress Terminal UI stress test and monitoring tool 2019-07-20
r-kerasformula public Adds a high-level interface for 'keras' neural nets. kms() fits neural net and accepts R formulas to aid data munging and hyperparameter selection. kms() can optionally accept a compiled keras_sequential_model() from 'keras'. kms() accepts a number of parameters (like loss and optimizer) and splits the data into (optionally sparse) test and training matrices. kms() facilitates setting advanced hyperparameters (e.g., regularization). kms() returns a single object with predictions, a confusion matrix, and function call details. 2019-07-20
r-kknn public Weighted k-Nearest Neighbors for Classification, Regression and Clustering. 2019-07-20
r-ineq public Inequality, concentration, and poverty measures. Lorenz curves (empirical and theoretical). 2019-07-20
r-intamap public Provides classes and methods for automated spatial interpolation. 2019-07-20
r-incadata public Handle data in formats used by cancer centers in Sweden, both from 'INCA' (<>) and by the older register platform 'Rockan'. All variables are coerced to suitable classes based on their format. Dates (from various formats such as with missing month or day, with or without century prefix or with just a week number) are all recognized as dates and coerced to the ISO 8601 standard (Y-m-d). Boolean variables (internally stored either as 0/1 or "True"/"False"/blanks when exported) are coerced to logical. Variable names ending in '_Beskrivning' and '_Varde' will be character, and 'PERSNR' will be coerced (if possible) to a valid personal identification number 'pin' (by the 'sweidnumbr' package). The package also allow the user to interactively choose if a variable should be coerced into a potential format even though not all of its values might conform to the recognized pattern. It also contain a caching mechanism in order to temporarily store data sets with its newly decided formats in order to not rerun the identification process each time. The package also include a mechanism to aid the documentation process connected to projects build on data from 'INCA'. From version 0.7, some general help functions are also included, as previously found in the 'rccmisc' package. 2019-07-20
r-jmv public A suite of common statistical methods such as descriptives, t-tests, ANOVAs, regression, correlation matrices, proportion tests, contingency tables, and factor analysis. This package is also useable from the 'jamovi' statistical spreadsheet (see <> for more information). 2019-07-20
r-intergraph public Functions implemented in this package allow to coerce (i.e. convert) network data between classes provided by other R packages. Currently supported classes are those defined in packages: network and igraph. 2019-07-20
r-invariantcausalprediction public Confidence intervals for causal effects, using data collected in different experimental or environmental conditions. Hidden variables can be included in the model with a more experimental version. 2019-07-20
r-inlinedocs public Generates Rd files from R source code with comments. The main features of the default syntax are that (1) docs are defined in comments near the relevant code, (2) function argument names are not repeated in comments, and (3) examples are defined in R code, not comments. It is also easy to define a new syntax. 2019-07-20
r-ipflasso public 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. 2019-07-20
r-janitor public The main janitor functions can: perfectly format data.frame column names; provide quick counts of variable combinations (i.e., frequency tables and crosstabs); and isolate duplicate records. Other janitor functions nicely format the tabulation results. These tabulate-and-report functions approximate popular features of SPSS and Microsoft Excel. This package follows the principles of the "tidyverse" and works well with the pipe function %>%. janitor was built with beginning-to-intermediate R users in mind and is optimized for user-friendliness. Advanced R users can already do everything covered here, but with janitor they can do it faster and save their thinking for the fun stuff. 2019-07-20
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