R-universe search: needs:kit

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fastverse

fastverse:A Suite of High-Performance Packages for Statistics and Data Manipulation

Easy installation, loading and management, of high-performance packages for statistical computing and data manipulation in R. The core 'fastverse' consists of 4 packages: 'data.table', 'collapse', 'kit' and 'magrittr', that jointly only depend on 'Rcpp'. The 'fastverse' can be freely and permanently extended with additional packages, both globally or for individual projects. Separate package verses can also be created. Fast packages for many common tasks such as time series, dates and times, strings, spatial data, statistics, data serialization, larger-than-memory processing, and compilation of R code are listed in the README file: <https://github.com/fastverse/fastverse#suggested-extensions>.

Maintained by Sebastian Krantz. Last updated 1 months ago.

c cpp data-aggregation data-manipulation data-science data-transformation high-performance low-dependency panel-data statistical-computing time-series weights

266 stars 8.98 score 222 scripts

spiritspeak

rapidsplithalf:A Fast Permutation-Based Split-Half Reliability Algorithm

Accurately estimates the reliability of cognitive tasks using a fast and flexible permutation-based split-half reliability algorithm that supports stratified splitting while maintaining equal split sizes. See Kahveci, Bathke, and Blechert (2022) <doi:10.31234/osf.io/ta59r> for details.

Maintained by Sercan Kahveci. Last updated 25 days ago.

cpp

4.78 score 5 scripts

tin900

vvauditor:Creates Assertion Tests

Offers a comprehensive set of assertion tests to help users validate the integrity of their data. These tests can be used to check for specific conditions or properties within a dataset and help ensure that data is accurate and reliable. The package is designed to make it easy to add quality control checks to data analysis workflows and to aid in identifying and correcting any errors or inconsistencies in data.

Maintained by Tomer Iwan. Last updated 2 months ago.

4.03 score 7 scripts

dustinstoltz

text2map:R Tools for Text Matrices, Embeddings, and Networks

This is a collection of functions optimized for working with with various kinds of text matrices. Focusing on the text matrix as the primary object - represented either as a base R dense matrix or a 'Matrix' package sparse matrix - allows for a consistent and intuitive interface that stays close to the underlying mathematical foundation of computational text analysis. In particular, the package includes functions for working with word embeddings, text networks, and document-term matrices. Methods developed in Stoltz and Taylor (2019) <doi:10.1007/s42001-019-00048-6>, Taylor and Stoltz (2020) <doi:10.1007/s42001-020-00075-8>, Taylor and Stoltz (2020) <doi:10.15195/v7.a23>, and Stoltz and Taylor (2021) <doi:10.1016/j.poetic.2021.101567>.

Maintained by Dustin Stoltz. Last updated 4 months ago.

3.82 score 22 scripts

olivroy

reuseme:Collections of Utility Functions to Work Across Projects

Allows you to browse current projects, rename files safely, add screenshots to project on Windows. It is also my personal library and contains wrapper around common functions, from dplyr and readxl. It takes advantage of cli hyperlinks. Finally, it provides a custom print method for tibbles, inspired by janitor, and readr.

Maintained by Olivier Roy. Last updated 1 months ago.

dplyr eda rstudio-project

5 stars 3.78 score 3 scripts