R-universe search: exports:is

Showing 7 of total 7 results (show query)

tidyverse

purrr:Functional Programming Tools

A complete and consistent functional programming toolkit for R.

Maintained by Hadley Wickham. Last updated 2 months ago.

functional-programming

1.3k stars 22.12 score 59k scripts 6.9k dependents

r-lib

rlang:Functions for Base Types and Core R and 'Tidyverse' Features

A toolbox for working with base types, core R features like the condition system, and core 'Tidyverse' features like tidy evaluation.

Maintained by Lionel Henry. Last updated 3 days ago.

517 stars 20.56 score 9.8k scripts 15k dependents

rfastofficial

Rfast:A Collection of Efficient and Extremely Fast R Functions

A collection of fast (utility) functions for data analysis. Column and row wise means, medians, variances, minimums, maximums, many t, F and G-square tests, many regressions (normal, logistic, Poisson), are some of the many fast functions. References: a) Tsagris M., Papadakis M. (2018). Taking R to its limits: 70+ tips. PeerJ Preprints 6:e26605v1 <doi:10.7287/peerj.preprints.26605v1>. b) Tsagris M. and Papadakis M. (2018). Forward regression in R: from the extreme slow to the extreme fast. Journal of Data Science, 16(4): 771--780. <doi:10.6339/JDS.201810_16(4).00006>. c) Chatzipantsiou C., Dimitriadis M., Papadakis M. and Tsagris M. (2020). Extremely Efficient Permutation and Bootstrap Hypothesis Tests Using Hypothesis Tests Using R. Journal of Modern Applied Statistical Methods, 18(2), eP2898. <doi:10.48550/arXiv.1806.10947>. d) Tsagris M., Papadakis M., Alenazi A. and Alzeley O. (2024). Computationally Efficient Outlier Detection for High-Dimensional Data Using the MDP Algorithm. Computation, 12(9): 185. <doi:10.3390/computation12090185>. e) Tsagris M. and Papadakis M. (2025). Fast and light-weight energy statistics using the R package Rfast. <doi:10.48550/arXiv.2501.02849>.

Maintained by Manos Papadakis. Last updated 29 days ago.

openblas cpp openmp

147 stars 12.54 score 1.2k scripts 166 dependents

hneth

riskyr:Rendering Risk Literacy more Transparent

Risk-related information (like the prevalence of conditions, the sensitivity and specificity of diagnostic tests, or the effectiveness of interventions or treatments) can be expressed in terms of frequencies or probabilities. By providing a toolbox of corresponding metrics and representations, 'riskyr' computes, translates, and visualizes risk-related information in a variety of ways. Adopting multiple complementary perspectives provides insights into the interplay between key parameters and renders teaching and training programs on risk literacy more transparent.

Maintained by Hansjoerg Neth. Last updated 10 months ago.

2x2-matrix bayesian-inference contingency-table representation risk risk-literacy visualization

19 stars 7.18 score 80 scripts

fbertran

tester:Tests and Checks Characteristics of R Objects

Allows users to test characteristics of common R objects.

Maintained by Frederic Bertrand. Last updated 12 months ago.

6.45 score 83 scripts 4 dependents

frictionlessdata

tableschema.r:Table Schema 'Frictionless Data'

Allows to work with 'Table Schema' (<https://specs.frictionlessdata.io/table-schema/>). 'Table Schema' is well suited for use cases around handling and validating tabular data in text formats such as 'csv', but its utility extends well beyond this core usage, towards a range of applications where data benefits from a portable schema format. The 'tableschema.r' package can load and validate any table schema descriptor, allow the creation and modification of descriptors, expose methods for reading and streaming data that conforms to a 'Table Schema' via the 'Tabular Data Resource' abstraction.

Maintained by Kleanthis Koupidis. Last updated 2 years ago.

25 stars 5.70 score 101 scripts

mandymejia

fMRItools:Routines for Common fMRI Processing Tasks

Supports fMRI (functional magnetic resonance imaging) analysis tasks including reading in 'CIFTI', 'GIFTI' and 'NIFTI' data, temporal filtering, nuisance regression, and aCompCor (anatomical Components Correction) (Muschelli et al. (2014) <doi:10.1016/j.neuroimage.2014.03.028>).

Maintained by Amanda Mejia. Last updated 22 days ago.

2 stars 5.10 score 35 scripts 4 dependents