Suggests: testthat, rmarkdown, knitr, preprocomb

Title: Utilities for Preparation of Data Analysis
Description: Miscellaneous small utilities are provided to mitigate issues with messy, inconsistent or high dimensional data and help for preprocessing and preparing analyses.

Title: R Markdown Template to Preregister Scientific Studies
Authors@R: c(person("Frederik", "Aust", email = "frederik.aust@uni-koeln.de", role = c("aut", "cre")))
Description: The R Markdown template in this package is based on the Center
for Open Science Preregistration Challenge and is, thus, particularly suited to
draft preregistration documents for studies that enter the challenge.
Packaged: 2016-02-16 13:45:30 UTC; frederikaust

Title: R Markdown Templates to Preregister Scientific Studies
Description: The R Markdown templates in this package are based on the Center
for Open Science Preregistration Challenge and the 'AsPredicted.org' questions.
They are, thus, particularly suited to draft preregistration documents for
these programs but can also be used for internally.
Packaged: 2016-09-20 11:54:05 UTC; frederikaust

Description: Provides a collection of templates to author preregistration documents for scientific studies in PDF format.
Packaged: 2017-07-04 17:57:13 UTC; frederikaust

Authors@R: c(person("Frederik", "Aust", email = "frederik.aust@uni-koeln.de", role = c("aut", "cre"), comment = c(ORCID = "0000-0003-4900-788X")))
Packaged: 2019-01-09 16:35:45 UTC; frederikaust
Author: Frederik Aust [aut, cre] (<https://orcid.org/0000-0003-4900-788X>)

person("Lisa", "Spitzer", email = "lisa.spitzer95@yahoo.de", role = "aut")
Packaged: 2020-12-01 19:44:32 UTC; frederikaust

person("Lisa", "Spitzer", email = "lisa.spitzer95@yahoo.de", role = "aut"),
person("Jeffrey R.", "Stevens", email = "jeffrey.r.stevens@gmail.com", role = "ctb", comment = c(ORCID = "0000-0003-2375-1360")),
person("Masataka", "Ogawa", email = "ogawa@phiz.c.u-tokyo.ac.jp", role = "ctb")
Packaged: 2022-01-20 20:06:47 UTC; frederikaust

Title: Specify (Pre)Registrations and Export Them Human- And
Description: Preregistrations, or more generally, registrations, enable
explicit timestamped and (often but not necessarily publicly) frozen
documentation of plans and expectations as well as decisions and
justifications. In research, preregistrations are commonly used to
clearly document plans and facilitate justifications of deviations from
those plans, as well as decreasing the effects of publication bias by
enabling identification of research that was conducted but not published.
Like reporting guidelines, (pre)registration forms often have specific
structures that facilitate systematic reporting of important items. The
'preregr' package facilitates specifying (pre)registrations in R and
exporting them to a human-readable format (using R Markdown partials or
exporting to an 'HTML' file) as well as human-readable embedded data
(using 'JSON'), as well as importing such exported (pre)registration
specifications from such embedded 'JSON'.
Imports: cli (>= 3.0), jsonlite (>= 1.7), rmdpartials (>= 0.5.8), yaml
Suggests: googlesheets4 (>= 1.0), haven (>= 2.4.3), justifier (>=