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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.
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'.
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 Typst, 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.
Download and Read Brazilian Meteorological Data from INMET
Automates the download and processing of historical weather data from the Brazilian National Institute of Meteorology (INMET). It provides a cached catalogue of automatic stations, resumable and validated downloads, and parsers for formatting inconsistencies in raw CSV files across different years. It removes structural artifacts, standardizes column names, parses timestamps, and returns data frames ready for analysis. Data are retrieved from < https://portal.inmet.gov.br/dadoshistoricos> and < https://apitempo.inmet.gov.br/estacoes/T>.
Brazilian Monthly Banking Statistics by Municipality (ESTBAN)
Download, read and tidy the ESTBAN (Estatistica Bancaria Mensal por Municipio, Monthly Banking Statistics by Municipality) files published by the Brazilian Central Bank (Banco Central do Brasil) for every bank branch and municipality in Brazil. Each file reports balance-sheet accounts of the COSIF (Plano Contabil das Instituicoes do Sistema Financeiro Nacional, the chart of accounts of the Brazilian financial system) such as credit operations, deposits and savings. Files are fetched from the official site < https://www.bcb.gov.br/estatisticas/estatisticabancariamunicipios> with an idempotent local cache, read from their Latin-1 encoded CSV (comma-separated values) layout into tibbles, optionally filtered by state, and aggregated by municipality. Includes tools to detect and impute institution-month non-reports (an institution present in the file with every account equal to zero), which would otherwise be mistaken for zero balances.
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.
Access the Liking Rating Database
Download and work with the Liking Rating Database, a curated
collection of subjective liking ratings from published decision-making
studies, described in Fernandez, Goyal and Krajbich (2026)