Title: Bayesian continuous reassessment method (CRM) designs for Phase

Depends: mvtnorm, ggplot2 (>= 0.9.2), grid

Title: Bayesian continual reassessment method (CRM) designs for Phase I
Description: This package implements a wide variety of one and two-parameter Bayesian CRM designs. The program can run interactively, allowing the user to enter outcomes after each cohort has been recruited, or via simulation to assess operating characteristics.

Title: Bayesian Continual Reassessment Method for Phase I
Description: Implements a wide variety of one and two-parameter Bayesian CRM designs. The program can run interactively, allowing the user to enter outcomes after each cohort has been recruited, or via simulation to assess operating characteristics.
Imports: mvtnorm, ggplot2 (>= 0.9.2), grid

Description: Implements a wide variety of one and two-parameter Bayesian CRM
designs. The program can run interactively, allowing the user to enter outcomes
after each cohort has been recruited, or via simulation to assess operating
Imports: mvtnorm, ggplot2 (>= 1.0.1), grid

person("Michael", "Sweeting", email="michael.sweeting@leicester.ac.uk", role= "aut"),
person("Graham", "Wheeler", email="graham.wheeler@ucl.ac.uk", role=c("aut", "cre"))
Description: Implements a wide variety of one- and two-parameter Bayesian CRM
Imports: graphics, stats, mvtnorm, rlang, ggplot2 (>= 1.0.1), grid,

characteristics. See Sweeting et al. (2013): <doi:10.18637/jss.v054.i13>.

Title: 'Blowfish' Password Hashing Algorithm
person("Jeroen", "Ooms", , "jeroen.ooms@stat.ucla.edu", role = c("cre", "aut")),
person("Damien", "Miller", role = "cph"),
Description: An R interface to the 'OpenBSD Blowfish' password hashing algorithm,
as described in "A Future-Adaptable Password Scheme" by 'Niels Provos'. The
implementation is derived from the 'py-bcrypt' module for Python which is a
wrapper for the 'OpenBSD' implementation.

Description: An R interface to the OpenBSD 'blowfish' password hashing algorithm,
as described in "A Future-Adaptable Password Scheme" by Niels Provos. The