Download, Compile and Link 'OpenBLAS' Library with R

The 'ropenblas' package (< https://prdm0.github.io/ropenblas/>) is useful for users of any 'GNU/Linux' distribution. It will be possible to download, compile and link the 'OpenBLAS' library (< https://www.openblas.net/>) with the R language, always by the same procedure, regardless of the 'GNU/Linux' distribution used. With the 'ropenblas' package it is possible to download, compile and link the latest version of the 'OpenBLAS' library even the repositories of the 'GNU/Linux' distribution used do not include the latest versions of 'OpenBLAS'. If of interest, older versions of the 'OpenBLAS' library may be considered. Linking R with an optimized version of 'BLAS' (< https://netlib.org/blas/>) may improve the computational performance of R code. The 'OpenBLAS' library is an optimized implementation of 'BLAS' that can be easily linked to R with the 'ropenblas' package.

Parse 'HTML' with a Bundled 'Gumbo' Parser

Parses real-world 'HTML' with a bundled copy of the 'Gumbo' parser (< https://codeberg.org/gumbo-parser/gumbo-parser>), which follows the 'WHATWG' parsing algorithm, so that no system library is required. Documents become immutable trees navigated with a documented subset of 'CSS' selectors. Attributes, text, lists, tables, links, forms and page metadata ('JSON-LD', microdata) are extracted into ordinary character vectors, lists and data frames, and nodes convert to 'Markdown'. Input is a string, raw bytes, a file, a URL or a connection, and raw input is decoded as browsers decode it, from a byte-order mark or a '' declaration. Parsing is bounded by limits on input size, native memory and nesting depth.

Decision Models with Multi Attribute Utility Theory

Provides functions for the creation, evaluation and test of decision models based in Multi Attribute Utility Theory (MAUT). Can process and evaluate local risk aversion utilities for a set of indexes, compute utilities and weights for the whole decision tree defining the decision model and simulate weights employing Dirichlet distributions under addition constraints in weights. Also includes other rating analysis methods as for example the Colley, Offensive - Defensive ratings and the ranking aggregation with Borda count.

Read and Write 'Apache Parquet' Files

Read and write 'Apache Parquet' files. Whole files are read with a single call, and larger ones can be opened to inspect their schema and read selected columns, row groups, or batches. Built on the bundled C library 'carquet', with no required R package dependencies.

National Road Safety Observatory (ONSV) Style for 'ggplot2' Graphics

Helps to create 'ggplot2' charts in the style used by the National Road Safety Observatory (ONSV). The package includes functions to customize 'ggplot2' objects with new theme and colors.

Modeling Complex Longitudinal Data in a Quick and Easy Way

Matching longitudinal methodology models with complex sampling design. It fits fixed and random effects models and covariance structured models so far. It also provides tools to perform statistical tests considering these specifications as described in : Pacheco, P. H. (2021). "Modeling complex longitudinal data in R: development of a statistical package." < https://repositorio.ufjf.br/jspui/bitstream/ufjf/13437/1/pedrohenriquedemesquitapacheco.pdf>.

Microbiota STability ASsessment via Iterative cluStering

The toolkit 'µSTASIS' has been developed for the stability analysis of microbiota in a temporal framework by leveraging on iterative clustering. Concretely, the core function uses Hartigan-Wong k-means algorithm as many times as possible for stressing out paired samples from the same individuals to test if they remain together for multiple numbers of clusters over a whole data set of individuals. Moreover, the package includes multiple functions to subset samples from paired times, validate the results or visualize the output.

Extra Features for 'reactable' Package

Enhanced functionality for 'reactable' in 'shiny' applications, offering interactive and dynamic data table capabilities with ease. With 'reactable.extras', easily integrate a range of functions and components to enrich your 'shiny' apps and facilitate user-friendly data exploration.

Generalized Hermite Distribution

Probability functions and other utilities for the generalized Hermite distribution.

'Base Dos Dados' R Client

An R interface to the 'Base dos Dados' API < https://basedosdados.org/docs/api_reference_python/>). Authenticate your project, query our tables, save data to disk and memory, all from R.