mcnasc_ni {EQUIVNONINF} | R Documentation |
The program computes the largest nominal significance level which can be substituted for the target level α without making the exact size of the asymptotic testing procedure larger than α.
mcnasc_ni(alpha,n,del0,sw,tol,maxh)
alpha |
significance level |
n |
sample size |
del0 |
absolute value of the noninferiority margin for δ := p_{10}-p_{01}, with p_{10} and p_{01} denoting the probabilities of discordant pairs of both kinds |
sw |
width of the search grid for determining the maximum of the rejection probability on the common boundary of the hypotheses |
tol |
upper bound to the absolute difference between size and target level below which the search for a corrected nominal level terminates |
maxh |
maximum number of interval halving steps to be carried out in finding the maximally raised nominal level |
alpha |
significance level |
n |
sample size |
del0 |
absolute value of the noninferiority margin for δ := p_{10}-p_{01}, with p_{10} and p_{01} denoting the probabilities of discordant pairs of both kinds |
sw |
width of the search grid for determining the maximum of the rejection probability on the common boundary of the hypotheses |
ALPH_0 |
value of the corrected nominal level obtained after nh steps |
SIZE_UNC |
exact size of the rejection region of the test at uncorrected nominal level α |
SIZE0 |
exact size of the rejection region of the test at nominal level α_0 |
NH |
number of interval-halving steps actually performed |
Stefan Wellek <stefan.wellek@zi-mannheim.de>
Peter Ziegler <peter.ziegler@zi-mannheim.de>
Wellek S: Testing statistical hypotheses of equivalence and noninferiority. Second edition. Boca Raton: Chapman & Hall/CRC Press, 2010, Par. 5.2.3.
mcnasc_ni(0.05,50,0.05,0.05,0.0001,5)