Package: MCPMod
Type: Package
Title: Design and Analysis of Dose-Finding Studies
Version: 1.0-6
Date: 2010-02-09
Author: Bjoern Bornkamp, Jose Pinheiro and Frank Bretz
Maintainer: Bjoern Bornkamp <bornkamp@statistik.tu-dortmund.de>
Depends: mvtnorm, lattice, R (>= 2.4.1)
Description: This package implements a methodology for the design and
analysis of dose-response studies that combines aspects of
multiple comparison procedures and modeling approaches (Bretz,
Pinheiro and Branson, 2005, Biometrics 61, 738-748). The
package provides tools for the analysis of dose finding trials
as well as a variety of tools necessary to plan a trial to be
conducted with the MCPMod methodology. **Note: The MCPMod
package will not be further developed, all future development
of the MCP-Mod methodology will be done in the DoseFinding
R-package, which already contains an extended version of
MCP-Mod, and additional functions useful for planning and
analysing dose-finding trials.**
License: GPL-3
Packaged: 2010-02-09 11:21:56 UTC; bornkamp
Repository: CRAN
Date/Publication: 2010-02-09 16:15:58

Title: Design and Analysis of Dose-Finding Studies (see also
conducted with the MCPMod methodology. ***NOTE*** The MCPMod

***NOTE*** The MCPMod package will not be further developed, all future development of
the MCP-Mod methodology will be done in the DoseFinding R-package. ***NOTE***

Title: A Supplement to the 'DoseFinding' Package for the General Case
Description: 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.
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>.
Suggests: testthat (>= 2.1.0), knitr, rmarkdown, survival