conda-forge / packages

Package Name Access Summary Updated
r-fdrtool public Estimates both tail area-based false discovery rates (Fdr) as well as local false discovery rates (fdr) for a variety of null models (p-values, z-scores, correlation coefficients, t-scores). The proportion of null values and the parameters of the null distribution are adaptively estimated from the data. In addition, the package contains functions for non-parametric density estimation (Grenander estimator), for monotone regression (isotonic regression and antitonic regression with weights), for computing the greatest convex minorant (GCM) and the least concave majorant (LCM), for the half-normal and correlation distributions, and for computing empirical higher criticism (HC) scores and the corresponding decision threshold. 2019-07-18
r-bbmisc public Miscellaneous helper functions for and from B. Bischl and some other guys, mainly for package development. 2019-07-18
r-tweenr public In order to create smooth animation between states of data, tweening is necessary. This package provides a range of functions for creating tweened data that can be used as basis for animation. Furthermore it adds a number of vectorized interpolaters for common R data types such as numeric, date and colour. 2019-07-18
r-tensorflow public Interface to 'TensorFlow' <>, an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more 'CPUs' or 'GPUs' in a desktop, server, or mobile device with a single 'API'. 'TensorFlow' was originally developed by researchers and engineers working on the Google Brain Team within Google's Machine Intelligence research organization for the purposes of conducting machine learning and deep neural networks research, but the system is general enough to be applicable in a wide variety of other domains as well. 2019-07-18
r-textshape public Tools that can be used to reshape and restructure text data. 2019-07-18
r-trust public Does local optimization using two derivatives and trust regions. Guaranteed to converge to local minimum of objective function. 2019-07-18
r-assertive.numbers public A set of predicates and assertions for checking the properties of numbers. This is mainly for use by other package developers who want to include run-time testing features in their own packages. End-users will usually want to use assertive directly. 2019-07-18
r-bayestestr public Provides utilities to describe posterior distributions and Bayesian models. It includes point-estimates such as Maximum A Posteriori (MAP), measures of dispersion (Highest Density Interval - HDI; Kruschke, 2015 <doi:10.1016/C2012-0-00477-2>) and indices used for null-hypothesis testing (such as ROPE percentage, pd and Bayes factors). 2019-07-18
r-futile.logger public Provides a simple yet powerful logging utility. Based loosely on log4j, futile.logger takes advantage of R idioms to make logging a convenient and easy to use replacement for cat and print statements. 2019-07-18
r-elliptic public A suite of elliptic and related functions including Weierstrass and Jacobi forms. Also includes various tools for manipulating and visualizing complex functions. 2019-07-18
r-arm public Functions to accompany A. Gelman and J. Hill, Data Analysis Using Regression and Multilevel/Hierarchical Models, Cambridge University Press, 2007. 2019-07-18
r-rematch2 public Wrappers on 'regexpr' and 'gregexpr' to return the match results in tidy data frames. 2019-07-18
r-usethis public Automate package and project setup tasks that are otherwise performed manually. This includes setting up unit testing, test coverage, continuous integration, Git, 'GitHub', licenses, 'Rcpp', 'RStudio' projects, and more. 2019-07-18
r-pbkrtest public No Summary 2019-07-18
r-cellranger public No Summary 2019-07-18
r-ggplot2 public A system for 'declaratively' creating graphics, based on "The Grammar of Graphics". You provide the data, tell 'ggplot2' how to map variables to aesthetics, what graphical primitives to use, and it takes care of the details. 2019-07-18
r-forcats public Helpers for reordering factor levels (including moving specified levels to front, ordering by first appearance, reversing, and randomly shuffling), and tools for modifying factor levels (including collapsing rare levels into other, 'anonymising', and manually 'recoding'). 2019-07-18
symmetrica public No Summary 2019-07-18
r-gsl public An R wrapper for some of the functionality of the Gnu Scientific Library. 2019-07-18
r-ore public Provides an alternative to R's built-in functionality for handling regular expressions, based on the Onigmo library. Offers first-class compiled regex objects, partial matching and function-based substitutions, amongst other features. 2019-07-18
r-officer public Access and manipulate 'Microsoft Word' and 'Microsoft PowerPoint' documents from R. The package focuses on tabular and graphical reporting from R; it also provides two functions that let users get document content into data objects. A set of functions lets add and remove images, tables and paragraphs of text in new or existing documents. When working with 'PowerPoint' presentations, slides can be added or removed; shapes inside slides can also be added or removed. When working with 'Word' documents, a cursor can be used to help insert or delete content at a specific location in the document. The package does not require any installation of Microsoft products to be able to write Microsoft files. 2019-07-18
r-pryr public Useful tools to pry back the covers of R and understand the language at a deeper level. 2019-07-18
r-ordinal public Implementation of cumulative link (mixed) models also known as ordered regression models, proportional odds models, proportional hazards models for grouped survival times and ordered logit/probit/... models. Estimation is via maximum likelihood and mixed models are fitted with the Laplace approximation and adaptive Gauss-Hermite quadrature. Multiple random effect terms are allowed and they may be nested, crossed or partially nested/crossed. Restrictions of symmetry and equidistance can be imposed on the thresholds (cut-points/intercepts). Standard model methods are available (summary, anova, drop-methods, step, confint, predict etc.) in addition to profile methods and slice methods for visualizing the likelihood function and checking convergence. 2019-07-18
r-pbivnorm public Provides a vectorized R function for calculating probabilities from a standard bivariate normal CDF. 2019-07-18
r-spatial public No Summary 2019-07-18
r-tseries public Time series analysis and computational finance. 2019-07-18
r-geosphere public Spherical trigonometry for geographic applications. That is, compute distances and related measures for angular (longitude/latitude) locations. 2019-07-18
r-proxy public Provides an extensible framework for the efficient calculation of auto- and cross-proximities, along with implementations of the most popular ones. 2019-07-18
r-gdalutils public Wrappers for the Geospatial Data Abstraction Library (GDAL) Utilities. 2019-07-18
r-gbrd public Provides utilities for processing Rd objects and files. Extract argument descriptions and other parts of the help pages of functions. 2019-07-18
r-pwr public Power analysis functions along the lines of Cohen (1988). 2019-07-18
r-pbapply public A lightweight package that adds progress bar to vectorized R functions ('*apply'). The implementation can easily be added to functions where showing the progress is useful (e.g. bootstrap). The type and style of the progress bar (with percentages or remaining time) can be set through options. Supports several parallel processing backends. 2019-07-18
r-r2winbugs public Invoke a 'BUGS' model in 'OpenBUGS' or 'WinBUGS', a class "bugs" for 'BUGS' results and functions to work with that class. Function write.model() allows a 'BUGS' model file to be written. The class and auxiliary functions could be used with other MCMC programs, including 'JAGS'. 2019-07-18
r-farver public The encoding of colour can be handled in many different ways, using different colour spaces. As different colour spaces have different uses, efficient conversion between these representations are important. The 'farver' package provides a set of functions that gives access to very fast colour space conversion and comparisons implemented in C++, and offers 100-fold speed improvements over the 'convertColor' function in the 'grDevices' package. 2019-07-18
r-desolve public Functions that solve initial value problems of a system of first-order ordinary differential equations ('ODE'), of partial differential equations ('PDE'), of differential algebraic equations ('DAE'), and of delay differential equations. The functions provide an interface to the FORTRAN functions 'lsoda', 'lsodar', 'lsode', 'lsodes' of the 'ODEPACK' collection, to the FORTRAN functions 'dvode', 'zvode' and 'daspk' and a C-implementation of solvers of the 'Runge-Kutta' family with fixed or variable time steps. The package contains routines designed for solving 'ODEs' resulting from 1-D, 2-D and 3-D partial differential equations ('PDE') that have been converted to 'ODEs' by numerical differencing. 2019-07-18
r-splancs public The Splancs package was written as an enhancement to S-Plus for display and analysis of spatial point pattern data; it has been ported to R and is in "maintenance mode". 2019-07-18
r-urca public No Summary 2019-07-18
r-goftest public Cramer-Von Mises and Anderson-Darling tests of goodness-of-fit for continuous univariate distributions, using efficient algorithms. 2019-07-18
r-intervals public Tools for working with and comparing sets of points and intervals. 2019-07-18
r-influencer public No Summary 2019-07-18
r-ellipse public This package contains various routines for drawing ellipses and ellipse-like confidence regions, implementing the plots described in Murdoch and Chow (1996), A graphical display of large correlation matrices, The American Statistician 50, 178-180. There are also routines implementing the profile plots described in Bates and Watts (1988), Nonlinear Regression Analysis and its Applications. 2019-07-18
r-bigmemory.sri public This package provides a shared resource interface for the bigmemory and synchronicity packages. 2019-07-18
r-tfruns public Create and manage unique directories for each 'TensorFlow' training run. Provides a unique, time stamped directory for each run along with functions to retrieve the directory of the latest run or latest several runs. 2019-07-18
r-assertive.strings public A set of predicates and assertions for checking the properties of strings. This is mainly for use by other package developers who want to include run-time testing features in their own packages. End-users will usually want to use assertive directly. 2019-07-18
r-survey public Summary statistics, two-sample tests, rank tests, generalised linear models, cumulative link models, Cox models, loglinear models, and general maximum pseudolikelihood estimation for multistage stratified, cluster-sampled, unequally weighted survey samples. Variances by Taylor series linearisation or replicate weights. Post-stratification, calibration, and raking. Two-phase subsampling designs. Graphics. PPS sampling without replacement. Principal components, factor analysis. 2019-07-18
r-janeaustenr public Full texts for Jane Austen's 6 completed novels, ready for text analysis. These novels are "Sense and Sensibility", "Pride and Prejudice", "Mansfield Park", "Emma", "Northanger Abbey", and "Persuasion". 2019-07-18
ipyevents public A custom widget for returning mouse and keyboard events to Python 2019-07-18
static-frame public Immutable structures for one- and two-dimensional calculations with labelled axis 2019-07-18
r-svglite public A graphics device for R that produces 'Scalable Vector Graphics'. 'svglite' is a fork of the older 'RSvgDevice' package. 2019-07-18
r-ddalpha public Contains procedures for depth-based supervised learning, which are entirely non-parametric, in particular the DDalpha-procedure (Lange, Mosler and Mozharovskyi, 2014 <doi:10.1007/s00362-012-0488-4>). The training data sample is transformed by a statistical depth function to a compact low-dimensional space, where the final classification is done. It also offers an extension to functional data and routines for calculating certain notions of statistical depth functions. 50 multivariate and 5 functional classification problems are included. 2019-07-18
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