critVal
(Package: MCPMod) :
Calculate critical value for multiple contrast test
This function calculates the critical value for a multiple contrast test via numerical integration (using the methods implemented in the mvtnorm package).
● Data Source:
CranContrib
● Keywords: design, htest
● Alias: critVal
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genDFdata
(Package: MCPMod) :
Simulate dose-response data
The function simulates normally distributed dose-response data, according to a prespecified dose-response model (or mean vector) and a given standard deviation.
● Data Source:
CranContrib
● Keywords: datagen
● Alias: genDFdata
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The model function for the quadratic model is defined as
● Data Source:
CranContrib
● Keywords: models
● Alias: quadratic
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powCalc
(Package: MCPMod) :
Calculate the power for the multiple contrast test
Given the optimal contrasts, the sample size and a certain ‘alternative’ (i.e. a mean vector and sigma), the function calculates the power to detect this alternative. See Pinheiro et al. (2006) for details. The function is the building block for the functions powerMM, sampSize and LP. Numerical integration routines from the mvtnorm package are used to calculate the underlying multivariate integrals.
● Data Source:
CranContrib
● Keywords: design
● Alias: powCalc
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sampSize
(Package: MCPMod) :
Sample size calculations for MCPMod
Given a candidate set, the baseline effect, the maximum effect and the standard deviation, the sampSize function returns the smallest sample size achieving a certain combined power value. See Pinheiro et al. (2006) for details.
● Data Source:
CranContrib
● Keywords: design
● Alias: print.sampSize, sampSize
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modelMeans
(Package: MCPMod) :
Calculate mean vectors for a given candidate set
Calculates the mean or standardized mean vectors for a candidate set of models. This function is mainly for internal use.
● Data Source:
CranContrib
● Keywords: misc
● Alias: modelMeans
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plot.planMM
(Package: MCPMod) :
Plotting a planMM object
This function displays the contrasts or model means obtained from a planMM object.
● Data Source:
CranContrib
● Keywords: hplot, methods
● Alias: plot.planMM
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This package implements a methodology for dose-response analysis that combines aspects of multiple comparison procedures and modeling approaches (Bretz, Pinheiro and Branson, (2005)). 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.**
● Data Source:
CranContrib
● Keywords: package
● Alias: MCPMod-package
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plot.powerMM
(Package: MCPMod) :
Plot method for powerMM objects
This function plots the result of the powerMM function call in a trellis display.
● Data Source:
CranContrib
● Keywords: hplot, methods
● Alias: plot.powerMM
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logistic
(Package: MCPMod) :
Logistic Model
The model function for the logistic model is defined as
● Data Source:
CranContrib
● Keywords: models
● Alias: logistic
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providing 
.