View source: R/estimatePowerCurve.R
estimatePowerCurve | R Documentation |
Estimate power curve for Bland-Altman limits of agreement test
estimatePowerCurve(nMin = 10, nMax = 100, stepsize = 1, mu, SD,
delta, gamma = 0.05, alpha = 0.05, approx = "t", method = "Lu",
parallel = TRUE, ncores = NULL)
nMin |
minimum sample size |
nMax |
maximum sample size |
stepsize |
number of samples to step between nMin and nMax |
mu |
mean of differences |
SD |
standard deviation of differences |
delta |
pre-determined clinical agreement interval |
gamma |
alpha level of Bland-Altman LOA |
alpha |
alpha level of LOA confidence intervals |
approx |
normal or t distribution |
method |
whether to use the Lu or Wisniewski method for power |
parallel |
logical |
ncores |
number of cores for parallel computation |
a dataframe
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.