A Supplement to the 'DoseFinding' Package for the General Case
c(person(given = "Ian",
family = "Laga",
role = c("aut", "cre"),
email = "ilaga25@gmail.com"),
person(given = "Francis",
family = "Boateng",
role = c("aut")))
Analyzes non-normal data via the Multiple Comparison Procedures and Modeling approach (MCP-Mod). Many functions rely on the 'DoseFinding' package. This package makes it so the user does not need to provide or calculate the mu vector and S matrix. Instead, the user typically supplies the data in its raw form, and this package will calculate the needed objects and passes them into the 'DoseFinding' functions. If the user wishes to primarily use the functions provided in the 'DoseFinding' package, a singular function (prepareGen()) will provide mu and S. The package currently handles power analysis and the MCP-Mod procedure for negative binomial, Poisson, and binomial data. The MCP-Mod procedure can also be applied to survival data, but power analysis is not available.
Bretz, F., Pinheiro, J. C., and Branson, M. (2005) <doi:10.1111/j.1541-0420.2005.00344.x>.
Buckland, S. T., Burnham, K. P. and Augustin, N. H. (1997) <doi:10.2307/2533961>.
Pinheiro, J. C., Bornkamp, B., Glimm, E. and Bretz, F. (2014) <doi:10.1002/sim.6052>.
testthat (>= 2.1.0), knitr, rmarkdown, survival
Ian Laga [aut, cre],
Francis Boateng [aut]

Simulation-Based Design and Analysis of Dose-Finding Trials
c(
person("Alex", "Dmitrienko", email = "admitrienko@medianainc.com", role = c("aut", "cre")),
person("Alun", "Bedding", role = "ctb"),
person("John", "Cook", role = "ctb"))
Rcpp, RcppNumerical, officer, flextable, devEMF, shiny,
shinydashboard
An efficient implementation of the MCPMod (Multiple Comparisons and Modeling) method to support a simulation-based design and analysis of dose-finding trials with normally distributed, binary and count endpoints (Bretz et al. (2005) <doi:10.1111/j.1541-0420.2005.00344.x>).
Alex Dmitrienko [aut, cre],
Alun Bedding [ctb],
John Cook [ctb]

shiny, shinydashboard, devEMF, officer, flextable, Rcpp,
RcppNumerical