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Web Application Framework for R
Makes it incredibly easy to build interactive web applications with R. Automatic "reactive" binding between inputs and outputs and extensive prebuilt widgets make it possible to build beautiful, responsive, and powerful applications with minimal effort.
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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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'. Covers monthly tax receipts (41 tax heads from 2016), 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.
Manipulate DESCRIPTION Files
Tools to read, write, create, and manipulate DESCRIPTION files. It is intended for packages that create or manipulate other packages.
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.
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)
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.
Using 'Mathjax' in Rd Files
Provides 'MathJax' and macros to enable its use within Rd files for rendering equations in the HTML help files.
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.
Script Based 'NONMEM' Model Development
Industrialisation of 'NONMEM' < https://www.iconplc.com/innovation/nonmem/> via fully and rapidly reusable model development 'workflows' entirely within 'RStudio'. Quickly get started with new models by importing 'NONMEM' templates from the built-in code library. Manipulate 'NONMEM' code from within R either via the tracked 'manual edit' interface or 'programmatically' via convenience functions. Script 'workflows' by piping sequences of model building steps from control file creation, to execution, to post-processing and evaluation. Run caching makes 'workflows' R markdown friendly for easy documentation of thoughts and modelling decisions alongside executable code. Share, reuse and recycle 'workflows' for new problems.