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arrow - Integration to 'Apache' 'Arrow'

'Apache' 'Arrow' <https://arrow.apache.org/> is a cross-language development platform for in-memory data. It specifies a standardized language-independent columnar memory format for flat and hierarchical data, organized for efficient analytic operations on modern hardware. This package provides an interface to the 'Arrow C++' library.

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arrowparquetbrotlilz4bzip2uriparsercurllibzstdzlibopensslcpp

19.94 score 17k stars 219 dependents 27k scripts 180k downloads

tfrmt - Applies Display Metadata to Analysis Results Datasets

Creates a framework to store and apply display metadata to Analysis Results Datasets (ARDs). The use of 'tfrmt' allows users to define table format and styling without the data, and later apply the format to the data.

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8.83 score 92 stars 1 dependents 139 scripts 997 downloads

covr2gh - Test Coverage Summary on 'GitHub'

Calculate test coverage data with 'covr', extract insights, and post them as comments on 'GitHub' pull requests.

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quarto

4.56 score 8 stars 1 scripts

rocnp - Work with Romanian Personal Numeric Codes PNC / CNP

A set of tools for working with Romanian personal numeric codes. The core is a validation function which applies several verification criteria to assess the validity of numeric codes. This is accompanied by functionality for extracting the different components of a personal numeric code. A personal numeric code is issued to all Romanian residents either at birth or when they obtain a residence permit.

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2.70 score 1 stars 5 scripts 238 downloads

multigrain - Optimise Graphical Approaches to Multiple Testing Procedures

Find the optimal graphical multiple testing procedure for confirmatory clinical trials that test several hypotheses across endpoints, doses, or subpopulations. Choose the graph maximising an explicit gain-function: a user-defined measure of trial success that scores each possible set of rejected hypotheses. Given simulated p-values, search over hypothesis weights and transition weights to maximise expected trial success. Conventional power criteria are recovered and the family-wise error rate is strongly controlled due to the search being confined to graphical procedures. Described in Spiers, Grayling, Wheeler, and Mander (2026) "Gain-function optimisation of graphical multiple testing procedures for confirmatory clinical trials" <doi:10.48550/arXiv.2609.19994>.

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cpp

2.40 score 9 scripts