Boost C++ Header Files

Boost provides free peer-reviewed portable C++ source libraries. A large part of Boost is provided as C++ template code which is resolved entirely at compile-time without linking. This package aims to provide the most useful subset of Boost libraries for template use among CRAN packages. By placing these libraries in this package, we offer a more efficient distribution system for CRAN as replication of this code in the sources of other packages is avoided. As of release 1.84.0-0, the following Boost libraries are included: 'accumulators' 'algorithm' 'align' 'any' 'atomic' 'beast' 'bimap' 'bind' 'circular_buffer' 'compute' 'concept' 'config' 'container' 'date_time' 'detail' 'dynamic_bitset' 'exception' 'flyweight' 'foreach' 'functional' 'fusion' 'geometry' 'graph' 'heap' 'icl' 'integer' 'interprocess' 'intrusive' 'io' 'iostreams' 'iterator' 'lambda2' 'math' 'move' 'mp11' 'mpl' 'multiprecision' 'numeric' 'pending' 'phoenix' 'polygon' 'preprocessor' 'process' 'propery_tree' 'qvm' 'random' 'range' 'scope_exit' 'smart_ptr' 'sort' 'spirit' 'tuple' 'type_traits' 'typeof' 'unordered' 'url' 'utility' 'uuid'.

Read and Write MAT Files and Call MATLAB from Within R

Methods readMat() and writeMat() for reading and writing MAT files. For user with MATLAB v6 or newer installed (either locally or on a remote host), the package also provides methods for controlling MATLAB (trademark) via R and sending and retrieving data between R and MATLAB.

Download, Parse, and Analyze NHANES Data with Mortality Linkage

Provides tools for downloading and organizing National Health and Nutrition Examination Survey (NHANES) public-use data files and the National Center for Health Statistics (NCHS) Public-Use Linked Mortality Files (LMF). Supports structured local caching, codebook access, survey-aware merging, and preparation of survival analysis datasets using NHANES-National Death Index (NDI) linked mortality data (follow-up through December 31, 2019). NHANES methodology is described at < https://wwwn.cdc.gov/nchs/nhanes/Default.aspx>.

Download Data from the Bank for International Settlements (BIS)

Functions for downloading data from the Bank for International Settlements (BIS; < https://www.bis.org/>) in Basel. Supported are only full datasets in (typically) CSV format. The package is lightweight and without dependencies; suggested packages are used only if data is to be transformed into particular data structures, for instance into 'zoo' objects. Downloaded data can optionally be cached, to avoid repeated downloads of the same files.

Access CDC Behavioral Risk Factor Surveillance System Data

Download, cache, and analyze annual microdata from the United States Centers for Disease Control and Prevention Behavioral Risk Factor Surveillance System (BRFSS) < https://www.cdc.gov/brfss/>. Each requested survey year is downloaded once as a compact file hosted on public releases, verified against a published checksum, and cached locally; queries then run through 'DuckDB' (via the 'duckdb' package), so column selection and repeat analyses never re-transfer data. Survey-design helpers construct 'srvyr' design objects with year-appropriate weights, strata, and primary sampling units, including explicit handling of the 2011 weighting methodology change and of the codes CDC uses for missing-type answers.

Harrell Miscellaneous

Contains many functions useful for data analysis, high-level graphics, utility operations, functions for computing sample size and power, simulation, importing and annotating datasets, imputing missing values, advanced table making, variable clustering, character string manipulation, conversion of R objects to LaTeX and html code, recoding variables, caching, simplified parallel computing, encrypting and decrypting data using a safe workflow, general moving window statistical estimation, and assistance in interpreting principal component analysis.

Batch Execution of R Programs on 'Kubernetes', 'SLURM', and 'Posit Workbench'

Submit and monitor batch execution of R programs across distributed computing backends including 'Kubernetes', 'SLURM', and 'Posit Workbench'. Provides end-user job submission functions, cluster interface functions using 'kubectl' and 'SLURM' commands, and a 'plumber' API template for secure identity segregation. Supports parallel and sequential batch execution, file-based caching to skip unchanged programs, and 'logrx' integration for execution logging.

An R 'Pandoc' Writer

Contains some functions catching all messages, 'stdout' and other useful information while evaluating R code and other helpers to return user specified text elements (like: header, paragraph, table, image, lists etc.) in 'pandoc' markdown or several type of R objects similarly automatically transformed to markdown format. Also capable of exporting/converting (the resulting) complex 'pandoc' documents to e.g. HTML, 'PDF', 'docx' or 'odt'. This latter reporting feature is supported in brew syntax or with a custom reference class with a smarty caching 'backend'.

Access the Bangladesh Environmental Mobility Panel Dataset

Provides functions to download and work with the Bangladesh Environmental Mobility Panel (BEMP), a household panel survey tracing the impacts of riverbank erosion and flooding on (im)mobility, socio-economic outcomes, and political attitudes along the Jamuna River in Bangladesh (2021-2024). Wave datasets (20 files across 14 survey rounds) are hosted on Zenodo () and downloaded on demand with local caching. Bundled data include a merged cross-wave codebook and wave metadata.

Finding Files in Project Subdirectories

Robust, reliable and flexible paths to files below a project root. The 'root' of a project is defined as a directory that matches a certain criterion, e.g., it contains a certain regular file.