planModPrepare: Return the S Matrix for a Theoretical DR-Curve

In MCPModGeneral: A Supplement to the 'DoseFinding' Package for the General Case

Description

This function is useful for several DoseFinding functions, but particular for planMod. Given the true dose-response curve at specified doses, this function will calculate and return the S matrix associated with the specified distribution. If an object of class Mods is provided in the models argument, then a list of S matrices will be returned.

Usage

planModPrepare(
  nSample,
  family = c("negative binomial", "binomial", "poisson"),
  link = c("log", "logit", "sqrt", "probit", "cauchit", "cloglog", "identity",
    "risk ratio", "log risk ratio"),
  modelPar = NULL,
  theoResp = NULL,
  doses = NULL,
  Ntype = c("arm", "total", "actual"),
  alRatio = NULL,
  placEff = NULL,
  models = NULL,
  verbose = FALSE,
  offset = NULL
)

Arguments

nSample	An integer if Ntype is 'arm' or 'total', or a numerical vector of patient allocations for each arm if Ntype is 'actual'.
family	A character string containing the error distribution to be used in the model.
link	A character string for the model link function.
modelPar	A numeric vector containing the additional parameters for the family argument. If the family is negative binomial, the dispersion parameter should be supplied. If the family is binomial, no model parameter should be supplied.
theoResp	A numerical vector of theoretical response values, on the transformed scale (e.g. on the log-scale for the negative binomial family). This should be the same length as the doses argument.
doses	A numerical vector of doses, corresponding to the theoretical response values provided.
Ntype	One of 'arm', 'total', or 'actual'. See documentation for Ntype in powMCT for descriptions of 'arm' and 'total'. For 'actual', the nSample should be a numerical vector containing the actual patient allocation for each dose provided.
alRatio	A numeric vector specifying the ratios between the patient allocation for the specified doses.
placEff	A numeric value of the placebo effect. This is needed only when the link is risk ratio.
models	Instead of supplying a theoretical dose-response curve and doses, an object of class Mods may be provided. The doses will be pulled from this object, along with the responses at the doses.
verbose	A logical specifying whether the patient allocation should be printed, in addition to the results.
offset	A positive numeric value specifying the offset term for the negative binomial distribution. If offset = NULL (the default), then the offset has no effect. Theoretically, the offset should be a numeric vector the same length as the number of observations, but for planning purposes, it is unlikely to know the individual offsets in advance.

Value

A numeric S matrix, or a list S matrices, for each model is models.

Examples

dose.vec = c(0, 5, 10, 20, 30, 40)
models.full = Mods(doses = dose.vec, linear = NULL,
      sigEmax = rbind(c(9, 2), c(6, 3)),
      emax = 0.8,
      quadratic = -0.02,
      placEff = 0, maxEff = 2)
planModPrepare(30, 'negative binomial', 'log', 0.3, getResp(models.full)[,3],
      dose.vec, 'arm')

MCPModGeneral documentation built on March 26, 2020, 7:14 p.m.