Bindings to 'libcurl' <https://curl.se/libcurl/> for performing fully
    configurable HTTP/FTP requests where responses can be processed in memory, on
    disk, or streaming via the callback or connection interfaces. Some knowledge
    of 'libcurl' is recommended; for a more-user-friendly web client see the 
    'httr2' package which builds on this package with http specific tools and logic.

An R client for the 'currencyapi.com' currency conversion API. The API requires registration of an API key. Basic features are free, some require a paid subscription. You can find the full API documentation at <https://currencyapi.com/docs> .

The currentSurvival package contains functions for
  the estimation of the current cumulative incidence (CCI) and
  the current leukaemia-free survival (CLFS). The CCI is the 
  probability that a patient is alive and in any disease 
  remission (e.g. complete cytogenetic remission in chronic 
  myeloid leukaemia) after initiating his or her therapy (e.g. 
  tyrosine kinase therapy for chronic myeloid leukaemia). The 
  CLFS is the probability that a patient is alive and in any 
  disease remission after achieving the first disease remission.

Provides an implementation of ‘Curricular Analytics’, a framework for analyzing and quantifying the complexity of academic curricula. Curricula are modelled as directed acyclic graphs and analytics are provided based on path lengths and edge density. This work directly comes from Heileman et al. (2018) <doi:10.48550/arXiv.1811.09676>.

Enables educational researchers and practitioners to calculate the curricular complexity of a plan of study, visualize its prerequisite structure at scale, and conduct customizable analyses. The original tool can be found at <https://curricularanalytics.org>. Additional functions to explore curriculum complexity from the literature are also included.

Provides 'igraph' objects representing engineering plans of study
  across multiple disciplines and institutions. The data are intended for use
  with the 'CurricularComplexity' package (Reeping, 2026) 
  <https://CRAN.R-project.org/package=CurricularComplexity> to support analyses 
  of curricular structure. The package leverages network analysis approaches
  implemented in 'igraph' (Csárdi et al., 2025) <doi:10.5281/zenodo.7682609>.