Matrix, urltools, glmnet, stats, methods, XML, httr, xml2,
curl, virustotal, aws.alexa, jsonlite, devtools, R.utils

Create Doxygen Documentation for Source Code
c(
person("Clemens", "Schmid", email = "clemens@nevrome.de", role = c("cre", "cph", "aut"))
)
Create doxygen documentation for source code in R packages.
Includes a RStudio Addin, that allows to trigger the doxygenize process.

Client for the Digital Public Library of America ('DPLA')
Interact with the Digital Public Library of America
<https://dp.la> ('DPLA') 'REST' 'API'
<https://dp.la/info/developers/codex/> from R, including search
and more.
httr (>= 1.2.0), jsonlite (>= 1.0), tibble, data.table
roxygen2 (>= 5.0.1), knitr, testthat, ggplot2, lubridate,
scales, covr

crul (>= 0.3.8), jsonlite (>= 1.0), tibble, data.table, hoardr
roxygen2 (>= 6.0.1), knitr, testthat, ggplot2, lubridate,
scales

The regression discontinuity (RD) design is a popular quasi-experimental design for causal inference and policy evaluation. The 'rdpower' package provides tools to perform power and sample size calculations in RD designs: rdpower() calculates the power of an RD design and rdsampsi() calculates the required sample size to achieve a desired power. See Cattaneo, Titiunik and Vazquez-Bare (2018) <https://sites.google.com/site/rdpackages/rdpower/Cattaneo-Titiunik-VazquezBare_2018_Stata.pdf> for further methodological details.

The regression discontinuity (RD) design is a popular quasi-experimental design for causal inference and policy evaluation. The 'rdpower' package provides tools to perform power and sample size calculations in RD designs: rdpower() calculates the power of an RD design and rdsampsi() calculates the required sample size to achieve a desired power. See Cattaneo, Titiunik and Vazquez-Bare (2019) <https://sites.google.com/site/rdpackages/rdpower/Cattaneo-Titiunik-VazquezBare_2019_Stata.pdf> for further methodological details.

2020-04-03 22:35:20 UTC; Gonzalo Vazquez-Bare

The regression discontinuity (RD) design is a popular quasi-experimental design for causal inference and policy evaluation. The 'rdpower' package provides tools to perform power and sample size calculations in RD designs: rdpower() calculates the power of an RD design and rdsampsi() calculates the required sample size to achieve a desired power. See Cattaneo, Titiunik and Vazquez-Bare (2019) <https://rdpackages.github.io/references/Cattaneo-Titiunik-VazquezBare_2019_Stata.pdf> for further methodological details.
2020-08-23 18:50:26 UTC; Gonzalo Vazquez-Bare