blindrecalc: n_fix.ChiSquare – R documentation

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n_fix.ChiSquare

Fixed Sample Size

Returns the sample size of a fixed design without sample size recalculation.

## S4 method for signature 'ChiSquare'
n_fix(
  design,
  nuisance,
  variance = c("heterogeneous", "homogeneous"),
  rounded = TRUE,
  ...
)

`design`	Object of class `ChiSquare` created by `setupChiSquare`.
`nuisance`	Value of the nuisance parameter. For the Chi-Squared test this is the overall response rate.
`variance`	A character string indicating whether the "`heterogenous`" (default) or the "`homogeneous`" variance formula should be used.
`rounded`	Whether the calculated sample size should be rounded up such that the allocation ratio is preserved.
`...`	Further optional arguments.

The method is only vectorized in either nuisance or n1.

One value of the fixed sample size for every nuisance parameter and every value of n1.

design1 <- setupChiSquare(alpha = 0.025, beta = 0.2, r = 1, delta = 0.2)
  n_fix(design1, nuisance = c(0.2, 0.3))

Blinded Sample Size Recalculation

v0.1.2

MIT + file LICENSE

Authors

Lukas Baumann [aut], Maximilian Pilz [aut, cre], Institute of Medical Biometry and Informatics - University of Heidelberg [cph]

Initial release