PowerTOST (version 1.4-7)

CI.BE: 1--2*alpha confidence interval given point estimate, CV, and n

Description

Utility function to calculate the

CI given point estimate, CV, and n for the various designs covered in this package.

Usage

CI.BE(alpha = 0.05, pe, CV, n, design = "2x2", robust = FALSE)

Arguments

alpha

Type I error probability, significance level. Defaults to 0.05.

pe

Point estimate (GMR).

CV

Coefficient of variation of error variability as ratio (not percent).

n

Total number of subjects if a scalar is given. Number of subjects in (sequence) groups if given as vector.

design

Character string describing the study<U+2019> design. See known.designs() for designs covered in this package.

robust

Defaults to FALSE. Setting to TRUE will use the degrees of freedom according to the ‘robust’ evaluation (aka Senn<U+2019>s basic estimator). These df are calculated as n-seq. See known.designs()$df2 for designs covered in this package.

Value

Returns the confidence interval. Returns a vector with named elements lower, upper if arguments pe and CV are scalars, else a matrix with columns lower, upper is returned.

Examples

# NOT RUN {
# 90% confidence interval for the 2x2 crossover
# n(total) = 24
CI.BE(pe=0.95, CV=0.3, n=24)
# should give
#     lower     upper 
# 0.8213465 1.0988055 
# same total number but unequal sequences
CI.BE(pe=0.95, CV=0.3, n=c(13, 11))
#     lower     upper
# 0.8209294 1.0993637   
# }

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