R functions for the computation of the truncated maximum likelihood and the robust accelerated failure time regression for gaussian and log-Weibull case.

Efficient CRUD interface for the Airtable API <https://airtable.com/developers/web/api>, supporting batch requests and parallel encoding of large data sets.

Use JSON templates to create folders and files structure for data science projects. Includes customized templates and accepts your own as JSON files.

This package provides a tool for processing Articulate Assistant Advancedâ ¢ (AAA) ultrasound tongue imaging data and Carstens AG500/1 electro-magnetic articulographic data.

Rugged is a library for accessing libgit2 in Ruby. It gives you the speed and portability of libgit2 with the beauty of the Ruby language.

Statistical methods for detection of differential splicing (differential exon usage) in RNA-seq and exon microarray data, using L1-regularization (lasso) to improve power.

Toolbox for remote sensing image processing and analysis such as calculating spectral indexes, principal component transformation, unsupervised and supervised classification or fractional cover analyses.

We implement full-ranked, rank-penalized, and adaptive nuclear norm penalized estimation methods using multivariate mixture models proposed by Kang, Chen, and Yao (2022+).

Documentation at https://melpa.org/#/rdxmk

Documentation at https://melpa.org/#/recur

Documentation at https://melpa.org/#/redtt

Documentation at https://melpa.org/#/rubik

Documentation at https://melpa.org/#/racer

Documentation at https://melpa.org/#/rtags

Documentation at https://melpa.org/#/rings

Documentation at https://melpa.org/#/rbenv

Documentation at https://melpa.org/#/redis

Documentation at https://melpa.org/#/rect+

Zarr backend for DelayedArray objects.

This package provides multiple pairwise tests.

Color palettes generated from paintings.

This package provides functions to analyse DNA fragment samples (i.e. derived from RFLP-analysis) and standalone BLAST report files (i.e. DNA sequence analysis).

This package provides a collection of tools for measuring the similarity of text messages and tracing the flow of messages over time and across media.

Plot regression surfaces and marginal effects in three dimensions. The plots are plotly objects and can be customized using functions and arguments from the plotly package.