c(
person("Bill", "Petti", , "billpetti@gmail.com", role = "aut"),
person("Saiem", "Gilani", , "saiem.gilani@gmail.com", role = c("aut", "cre")),
person("Ben", "Baumer", , "ben.baumer@gmail.com", role = "ctb"),
person("Ben", "Dilday", , "ben.dilday.phd@gmail.com", role = "ctb"),
person("Robert", "Frey", , "rfrey22@gmail.com", role = "ctb"),
person("Camden", "Kay", , "camden.kay23@gmail.com", role = "ctb")
)
cli (>= 3.0.0), data.table (>= 1.14.0), dplyr, ggplot2, glue,
httr (>= 0.5), janitor, jsonlite, lubridate, magrittr, purrr
(>= 0.3.0), Rcpp, RcppParallel, rlang (>= 0.4.0), rvest (>=
1.0.0), stringr (>= 1.3.0), tibble (>= 3.0), tidyr (>= 1.0.0)
crayon (>= 1.3.4), curl, DBI, furrr, future, ggrepel, knitr,
pacman, progressr (>= 0.6.0), qs (>= 0.25.1), reshape2,
rmarkdown, RSQLite, scales, stringi, stats, testthat, usethis
(>= 1.6.0), xml2 (>= 1.3), zoo
Bill Petti [aut],
Saiem Gilani [aut, cre],
Ben Baumer [ctb],
Ben Dilday [ctb],
Robert Frey [ctb],
Camden Kay [ctb]

Utilities for Streamlined Data Import, Imputation and Modelling
c(person(given = "J. Peter",
family = "Marquardt",
role = c("aut"),
email = "peter@kmarquardt.de",
comment = c(ORCID = "0000-0002-5596-1357")),
person(given = "Till D.",
family = "Best",
role = c("aut", "cre"),
email = "till-best@gmx.de",
comment = c(ORCID = "0000-0001-7323-827X")))
Provides functions streamlining the data analysis workflow:
Outsourcing data import, renaming and type casting to a *.csv.
Manipulating imputed datasets and fitting models on them. Summarizing models.

assertive.types, assertthat, dplyr, mice, Hmisc, purrr

assertive.types, assertthat, dplyr, mice, Hmisc, survival,
stats, purrr

person(given = "Pedro",
family = "Cavalcante",
role = c("aut", "cre"),
email = "pedrocolrj@gmail.com")
An R interface to the 'Base dos Dados' API <https:basedosdados.github.io/mais/py_reference_api/>). Authenticate your project, query our tables, save data to disk and memory, all from R.
purrr, dplyr, tibble, httr, googleAuthR, cli, magrittr, readr,
stringr, dotenv, bigrquery, glue, rlang, writexl