Dose Transition Pathways for Continual Reassessment Method
c(person("Christina", "Yap", email = "yapchristina17@gmail.com",
role = c("aut", "cre")),
person("Daniel", "Slade", email = "D.Slade@bham.ac.uk",
role = c("aut")),
person("Kristian", "Brock", email = "k.brock@bham.ac.uk",
role = c("aut")),
person("Yi", "Pan", email = "ypan1988@gmail.com",
role = c("aut")))
Provides the dose transition pathways (DTP) to project in advance
the doses recommended by a model-based design for subsequent patients (stay,
escalate, deescalate or stop early) using all the accumulated toxicity
information; See Yap et al (2017) <doi: 10.1158/1078-0432.CCR-17-0582>. DTP
can be used as a design and an operational tool and can be displayed as a
table or flow diagram. The 'dtpcrm' package also provides the modified
continual reassessment method (CRM) and time-to-event CRM (TITE-CRM) with
added practical considerations to allow stopping early when there is
sufficient evidence that the lowest dose is too toxic and/or there is a
sufficient number of patients dosed at the maximum tolerated dose.
Christina Yap [aut, cre],
Daniel Slade [aut],
Kristian Brock [aut],
Yi Pan [aut]

This implements the data table back-end for 'dplyr' so that you
can seamlessly use data table and 'dplyr' together.

c(
person("Lionel", "Henry", , "lionel@rstudio.com", role = "cre"),
person("Hadley", "Wickham", , "hadley@rstudio.com", role = "aut"),
person("RStudio", role = "cph")
)
Lionel Henry [cre],
Hadley Wickham [aut],
RStudio [cph]

dplyr (>= 0.5.0), data.table (>= 1.9.6), lazyeval, rlang

c(person(given = "Lionel",
family = "Henry",
role = "aut",
email = "lionel@rstudio.com"),
person(given = "Hadley",
family = "Wickham",
role = "cre",
email = "hadley@rstudio.com"),
person(given = "RStudio",
role = "cph"))
Provides a data.table backend for 'dplyr'. The goal of 'dtplyr'
is to allow you to write 'dplyr' code that is automatically translated to
the equivalent, but usually much faster, data.table code.
crayon, data.table (>= 1.9.6), dplyr (>= 0.8.1), rlang,
tibble, tidyselect
bench, covr, knitr, rmarkdown, testthat (>= 2.1.0)
Lionel Henry [aut],
Hadley Wickham [cre],
RStudio [cph]