1.7.3), Tariff (>= 1.0.1), ggplot2, crayon, cli, purrr

1.7.3), Tariff (>= 1.0.1), ggplot2, crayon, cli

Description: Implements multiple existing open-source algorithms for coding cause of death from verbal autopsies. The methods implemented include 'InterVA4' by Byass et al (2012) <doi:10.3402/gha.v5i0.19281>, 'InterVA5' by Byass at al (2019) <doi:10.1186/s12916-019-1333-6>, 'InSilicoVA' by McCormick et al (2016) <doi:10.1080/01621459.2016.1152191>, 'NBC' by Miasnikof et al (2015) <doi:10.1186/s12916-015-0521-2>, and a replication of 'Tariff' method by James et al (2011) <doi:10.1186/1478-7954-9-31> and Serina, et al. (2015) <doi:10.1186/s12916-015-0527-9>. It also provides tools for data manipulation tasks commonly used in Verbal Autopsy analysis and implements easy graphical visualization of individual and population level statistics. Note that this package was not developed by authors affiliated with the Institute for Health Metrics and Evaluation and thus unintentional discrepancies may exist in the implementation of the 'Tariff' method.

Author: Zehang Richard Li, Jason Thomas, Tyler H. McCormick, Samuel J. Clark
Suggests: covr, nbc4va, testthat, R.rsp, knitr

Title: Client to Access 'Openaddresses.io' Data
Description: 'Openaddresses' (<http://openaddresses.io/>) client. Search,
fetch data, and combine 'datasets'. Outputs are easy to visualize
with base plots, 'ggplot2', or 'leaflet'.

Title: Client to Access 'Openaddresses' Data
Description: 'Openaddresses' (<https://openaddresses.io/>) client. Search,
Imports: crul (>= 0.1.6), jsonlite (>= 1.2), readr (>= 1.0.0), dplyr
Suggests: roxygen2 (>= 5.0.1), testthat, leaflet, covr

Description: An R wrapper of OpenAI API endpoints (see
<https://beta.openai.com/docs/introduction> for details). This package
covers Engines, Completions, Edits, Files, Fine-tunes, Embeddings and legacy
Searches, Classifications, and Answers endpoints.

Title: Open-source tools for the analysis of air pollution data
Imports: proto, grid, plyr, reshape, mgcv, zoo, lattice,
Description: Tools to analyse, interpret and understand air pollution
data. Data are typically hourly time series and both monitoring
data and dispersion model output can be analysed.  Many
functions can also be applied to other data, including