Nombres Inscritos en Chile (1920 - 2019)
person(given = "Riva",
family = "Quiroga",
role = c("aut", "cre"),
email = "riva.quiroga@uc.cl",
comment = c(ORCID = "0000-0002-1147-4135"))
Datos de nombres inscritos en Chile
entre 1920 y 2019, de acuerdo al Servicio de Registro Civil.
Este paquete incluye todos los nombres con al menos 15
ocurrencias anuales.
English: Chilean baby names registered in the Civil Registry
Service. This package contains all names used at least 15
times per year, from 1920 to 2019.

Nombres Inscritos en Chile (1920 - 2020)
Datos de nombres inscritos en Chile
entre 1920 y 2020, de acuerdo al Servicio de Registro Civil.
English: Chilean baby names registered from 1920 to 2020
by the Civil Registry Service.

Nombres Inscritos en Chile (1920 - 2021)
Datos de nombres inscritos en Chile
entre 1920 y 2021, de acuerdo al Servicio de Registro Civil.
English: Chilean baby names registered from 1920 to 2021
by the Civil Registry Service.

Access 'The Guardian' Newspaper Open Data API
Access to the 'Guardian' open API
<https://open-platform.theguardian.com/>, containing all articles published
in 'The Guardian' from 1999 to the present, including article text, metadata,
tags and contributor information. An API key and registration is required.
testthat, knitr, rmarkdown, lubridate, ggplot2, covr, scales

Access to 'The Guardian' newspaper's open API
<https://open-platform.theguardian.com/>, containing all articles published
in 'The Guardian' from 1999 to the present, including article text, metadata,
tags and contributor information. An API key and registration is required.
testthat, knitr, rmarkdown, lubridate, ggplot2, covr, scales,
readr

Adjust Estimates of Learning for Guessing
c(person("Gaurav", "Sood", email = "gsood07@gmail.com", role = c("aut", "cre")),
person("Ken", "Cor", email = "mcor@ualberta.ca", role = c("aut")))
Adjust Estimates of Learning for Guessing. The package provides
standard guessing correction, and a latent class model that leverages
informative pre-post transitions. For details of the latent class model,
see <http://gsood.com/research/papers/guess.pdf>.