Title: Drug Identification and Drug Name Correction with Automatic
Authors@R: c(person("Javier Garcia", "Developer", role = c("aut", "cre"),
person("Fernando Carazo", "Developer", role = "aut"),
Description: Contains a function which identifies and corrects the names of a set of drugs between clinical phases 1-4 with a periodically actualized drug database.
Suggests: knitr, rmarkdown, BiocGenerics, RUnit
Author: Javier Garcia Developer [aut, cre],
Maintainer: Javier Garcia Developer <a905125@alumni.unav.es>

Authors@R: c(person("Fernando Carazo", role = c("aut", "cre"),
Suggests: knitr, rmarkdown, BiocGenerics, RUnit, PharmacoGx

Title: Prepare Electronic Prescription Record Data to Estimate Drug
Description: Prepare prescription data (such as from the Clinical Practice Research Datalink) into an analysis-ready format, with start and stop dates for each patient's prescriptions. Based on Pye et al (2018) <doi:10.1002/pds.4440>.
Imports: dplyr, doseminer, rlang, tidyr, sqldf, stringr, purrr,
Suggests: knitr, rmarkdown, testthat, kableExtra
Author: Belay Birlie Yimer [aut] (<https://orcid.org/0000-0001-8621-6539>),

Authors@R: person("James", "Martherus", email = "james@martherus.com",
Description: Includes various functions for playing drum sounds. beat() plays a drum sound
from one of the six included drum kits. tempo() sets spacing between calls to beat()
in bpm. Together the two functions can be used to create many different drum patterns.
Packaged: 2019-09-27 14:12:36 UTC; jamesmartherus

Description: The package performs various analyzes of descriptive

Description: The package performs various analyzes of descriptive statistics, including correlations

Description: Performs various analyzes of descriptive statistics, including correlations, graphics and tables.

Authors@R: c(person("Hansjoerg", "Neth", role = c("aut", "cre"), email = "h.neth@uni.kn"))
Description: All data sets required for the examples and exercises in the book "Data Science for Psychologists" (by Hansjoerg Neth, Konstanz University, 2019), freely available at <https://bookdown.org/hneth/ds4psy/>. The book and course introduce principles and methods of data science to students of psychology and other biological or social sciences. The 'ds4psy' package primarily provides datasets, but also functions for graphics and text-manipulation that are used in the book and its exercises.
Imports: ggplot2, cowplot, here, readr, stringr, tibble, tidyr,
Collate: 'data.R' 'color_fun.R' 'text_fun.R' 'data_fun.R' 'theme_fun.R'