A pure rust replacement for the miniz DEFLATE/zlib encoder/decoder. Using flate2 with the rust_backend feature provides an easy to use streaming API for miniz_oxide.

A pure rust replacement for the miniz DEFLATE/zlib encoder/decoder. Using flate2 with the rust_backend feature provides an easy to use streaming API for miniz_oxide.

A pure rust replacement for the miniz DEFLATE/zlib encoder/decoder. Using flate2 with the rust_backend feature provides an easy to use streaming API for miniz_oxide.

A pure rust replacement for the miniz DEFLATE/zlib encoder/decoder. Using flate2 with the rust_backend feature provides an easy to use streaming API for miniz_oxide.

A pure rust replacement for the miniz DEFLATE/zlib encoder/decoder. Using flate2 with the rust_backend feature provides an easy to use streaming API for miniz_oxide.

A pure rust replacement for the miniz DEFLATE/zlib encoder/decoder. Using flate2 with the rust_backend feature provides an easy to use streaming API for miniz_oxide.

CL-random-forest is an implementation of Random Forest for multiclass classification and univariate regression written in Common Lisp. It also includes an implementation of Global Refinement of Random Forest.

This Common Lisp library focuses on the small set of basic color manipulations (lightening, compliments, etc.) you might use to generate a color palette for a GUI or web page.

This package provides environments randbild to draw small marginal plots (using the packages PSTricks and pst-plot), and randbildbasis (the same, only without the automatically drawn coordinate system).

R interface to access prices and market data with the Bloomberg Data License service from <https://www.bloomberg.com/professional/product/data-license/>. As a prerequisite, a valid Data License from Bloomberg is needed together with the corresponding SFTP credentials and whitelisting of the IP from which accessing the service. This software and its author are in no way affiliated, endorsed, or approved by Bloomberg or any of its affiliates. Bloomberg is a registered trademark.

This package provides easy access to The Reptile Database', a comprehensive catalogue of all living reptile species and their classification. This package includes taxonomic data for over 10,000 reptile species, approximately 2,800 of which are subspecies, covering all extant reptiles. The dataset features taxonomic names, synonyms, distribution data, type specimens, and literature references, making it ready for research and analysis. Data is sourced from The Reptile Database <http://www.reptile-database.org/>.

This package provides a novel ensemble method employing Support Vector Machines (SVMs) as base learners. This powerful ensemble model is designed for both classification (Ara A., et. al, 2021) <doi:10.6339/21-JDS1014>, and regression (Ara A., et. al, 2021) <doi:10.1016/j.eswa.2022.117107> problems, offering versatility and robust performance across different datasets and compared with other consolidated methods as Random Forests (Maia M, et. al, 2021) <doi:10.6339/21-JDS1025>.

These tools help you to assess if a corporate lending portfolio aligns with climate goals. They summarize key climate indicators attributed to the portfolio (e.g. production, emission factors), and calculate alignment targets based on climate scenarios. They implement in R the last step of the free software PACTA (Paris Agreement Capital Transition Assessment; <https://www.transitionmonitor.com/>). Financial institutions use PACTA to study how their capital allocation decisions align with climate change mitigation goals.

Realm-js has a set of functionality that helps solving many problems or impediments related to Promises. Utilities live in this repository, apart from realm-js library. Typings included ### Install

Client for AWS Transcribe <https://aws.amazon.com/documentation/transcribe>, a cloud transcription service that can convert an audio media file in English and other languages into a text transcript.

This package provides an S4 class for representing and interacting with sparse plus rank matrices. At the moment the implementation is quite spare, but the plan is eventually subclass Matrix objects.

This package provides methods to transform omop_result objects into formatted tables and figures, facilitating the visualisation of study results working with the Observational Medical Outcomes Partnership (OMOP) Common Data Model.

This package stores motif collections as lists of position frequency matrix (PWMatrixList) objects provided by the TFBSTools package for use in R with packages like motifmatchr or chromVAR.

This package provides a stable implementation of the upcoming new `proc_macro` API. Comes with an option, off by default, to also reimplement itself in terms of the upstream unstable API.

This package provides a stable implementation of the upcoming new `proc_macro` API. Comes with an option, off by default, to also reimplement itself in terms of the upstream unstable API.

Facilitate Pharmacokinetic (PK) and Pharmacodynamic (PD) modeling and simulation with powerful tools for Nonlinear Mixed-Effects (NLME) modeling. The package provides access to the same advanced Maximum Likelihood algorithms used by the NLME-Engine in the Phoenix platform. These tools support a range of analyses, from parametric methods to individual and pooled data analysis <https://www.certara.com/app/uploads/2020/06/BR_PhoenixNLME-v4.pdf>. Execution is supported both locally or on remote machines.

This package provides provides a `MaybeOwned` (and `MaybeOwnedMut`) type similar to std's `Cow` but it implements `From<T>` and `From<&'a T>` and does not require `ToOwned`.

Overrides function-key-map parent for preferred input-method to translate input sequences the default system layout (english) so we can use Emacs bindings while non-default system layout is active.

This package creates interactive Venn diagrams using the amCharts5 library for JavaScript'. They can be used directly from the R console, from RStudio', in shiny applications, and in rmarkdown documents.