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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
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Manipulate DESCRIPTION Files
Tools to read, write, create, and manipulate DESCRIPTION files. It is intended for packages that create or manipulate other packages.
Interface to Unidata netCDF (Version 4 or Earlier) Format Data Files
Provides a high-level R interface to data files written using Unidata's netCDF library (version 4 or earlier), which are binary data files that are portable across platforms and include metadata information in addition to the data sets. Using this package, netCDF files (either version 4 or "classic" version 3) can be opened and data sets read in easily. It is also easy to create new netCDF dimensions, variables, and files, in either version 3 or 4 format, and manipulate existing netCDF files. This package replaces the former ncdf package, which only worked with netcdf version 3 files. For various reasons the names of the functions have had to be changed from the names in the ncdf package. The old ncdf package is still available at the URL given below, if you need to have backward compatibility. It should be possible to have both the ncdf and ncdf4 packages installed simultaneously without a problem. However, the ncdf package does not provide an interface for netcdf version 4 files.
Access Novo CAGED Microdata from the Brazilian Ministry of Labour
Download and read the public, non-identified microdata of the Novo CAGED (Cadastro Geral de Empregados e Desempregados), the monthly registry of formal employment movements published by the Brazilian Ministry of Labour and Employment through the PDET FTP server < ftp://ftp.mtps.gov.br/pdet/microdados/>. Lists the reference months available on the server, downloads the three monthly files (movements declared on time, declared late, and exclusions) with an idempotent local cache, and reads the national 7z archives as a stream, filtering by state and selecting columns before anything is kept in memory, so that a single state can be extracted without loading the full national file. Also provides the official record layout and a helper to consolidate admissions, separations and net balance by reference month.
Analysis of Oceanographic Argo Floats
Supports the analysis of oceanographic data recorded by Argo autonomous drifting profiling floats. Functions are provided to (a) download and cache data files, (b) subset data in various ways, (c) handle quality-control flags and (d) plot the results according to oceanographic conventions. A shiny app is provided for easy exploration of datasets. The package is designed to work well with the 'oce' package, providing a wide range of processing capabilities that are particular to oceanographic analysis. See Kelley, Harbin, and Richards (2021)
Using 'Mathjax' in Rd Files
Provides 'MathJax' and macros to enable its use within Rd files for rendering equations in the HTML help files.
Download and Tidy 'HMRC' Statistical Data
Provides functions to download, parse, and tidy statistical data published by 'HM Revenue and Customs' ('HMRC') on 'GOV.UK'. Returns annotated 'hmrc_tbl' data frames with provenance metadata (source URL, fetch time, vintage, cell methods) for reproducible fiscal research. Covers monthly tax receipts (41 tax heads from 2008), 'VAT' (from 1973), fuel duties (from 1990), tobacco duties (from 1991), annual 'Corporation Tax' receipts, stamp duty, research and development tax credit statistics (from 2000), tax gap estimates, 'Income Tax' liabilities by income range, and monthly property transaction counts. File URLs are resolved at runtime via the 'GOV.UK' Content API < https://www.gov.uk/api/content>, so data is always current without hardcoded URLs. Files are cached locally between sessions.
Access 'RAIS' Microdata from the Brazilian Ministry of Labour
Download and read the public, non-identified microdata of the 'RAIS' (Relação Anual de Informações Sociais), the annual census of formal employment relationships and establishments published by the Brazilian Ministry of Labour and Employment through the 'PDET' FTP server < ftp://ftp.mtps.gov.br/pdet/microdados/RAIS/>. Lists the years and archives available on the server, resolves which regional or state archive holds a given state, downloads it with an idempotent local cache, and reads the '7z' archives as a stream, filtering by state and selecting columns before anything is kept in memory, so that a single state can be extracted from a regional file of tens of millions of records. Handles the two header generations of the files (up to the 'RAIS' 2022 and from the 'RAIS' 2023 onwards) with the same normalized column names, provides the official record layout and a helper to consolidate the employment stock, admissions, separations and December payroll.
Split, Combine and Compress PDF Files
Content-preserving transformations transformations of PDF files such as split, combine, and compress. This package interfaces directly to the 'qpdf' C++ library < https://qpdf.sourceforge.io/> and does not require any command line utilities. Note that 'qpdf' does not read actual content from PDF files: to extract text and data you need the 'pdftools' package.
Retrieve Time Series Data from 'Banco de España'
Tools for retrieving 'Banco de España' ('BdE') time series data as 'tibble' objects from bulk CSV files and the 'Statistics web service (API)'. Bulk CSV functions use stable 'BdE' sequential numbers, while API functions use API series codes. Catalog functions support discovery and local caching. Plotting helpers provide 'ggplot2' palettes, scales and themes. 'Banco de España' is the national central bank and, within the framework of the Single Supervisory Mechanism ('SSM'), the supervisor of the Spanish banking system alongside the European Central Bank. This package is not sponsored, endorsed or administered by 'Banco de España'.