Title: An Implementation of a SAS-Style Data Step
Description: Based on a SAS data step. This allows for row-wise dynamic building of data, iteratively importing slices of existing dataframes, conducting analyses, and exporting to a results frame. This is particularly useful for differential or time-series analyses, which are often not well suited to vector-based operations.

Description: Based on a SAS data step. This allows for row-wise dynamic building
of data, iteratively importing slices of existing dataframes, conducting
analyses, and exporting to a results frame. This is particularly useful for
differential or time-series analyses, which are often not well suited to vector-
Suggests: knitr, covr, rmarkdown, testthat

Title: Implementation of Core Data Structures
Description: Implementation of advanced data structures such as hashmaps,
heaps, or queues. Advanced data structures are essential
in many computer science and statistics problems, for example graph
algorithms or string analysis. The package uses 'Boost' and 'STL' data
types and extends these to R with 'Rcpp' modules.
Suggests: testthat, knitr, rmarkdown, lintr

Suggests: testthat, knitr, styler, rmarkdown, lintr

Description: It allows the user to retrieve the data from the systems of
DATASUS (SUS IT department related to the Brazilian Ministry of Health,
information) much in the same way that is done in the online portal.
For now the package allows access to the SINASC and SIM's (ICD-10)
systems, that is, the 'Estatísticas Vitais'.
Imports: dplyr, httr, magrittr, RCurl, readr, rvest, stringi, stringr,

Title: Support functions for packages VBmix, semisupKernelPCA, and
Description: Support functions for packages VBmix, semisupKernelPCA,

Description: Contains facilities such as getting the current timestamp in decimal seconds, computing interval w.r.t. a reference timestamp, and custom plotting with error bars.

Title: Client for Dataverse 4 Repositories
Imports: stats, utils, httr, xml2, jsonlite
Description: Provides access to Dataverse version 4 APIs <https://dataverse.org/>,
enabling data search, retrieval, and deposit. For Dataverse versions <= 4.0,
use the deprecated 'dvn' package <https://cran.r-project.org/package=dvn>.