mcnemasc {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.
mcnemasc(alpha,n,del0,sw,tol,maxh)
alpha |
significance level |
n |
sample size |
del0 |
upper limit set to |p_{10}-p_{01}| under the alternative hypothesis of equivalence, 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 |
upper limit set to |p_{10}-p_{01}| under the alternative hypothesis of equivalence, 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 |
NH |
number of interval-halving steps actually performed |
ERROR |
error indicator messaging "!!!!!" if the sufficient condition for the correctness of the result output by the program was found violated |
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. 5.2.2.
mcnemasc(0.05,50,0.20,0.05,0.0005,5)