search.best.n.pred: Predicitve Power approach to sample size recalculation
In Palash63/RelativeM: Calculate the sample size using the Relative Time method under NPH and NPT secnerios
Description
Usage
Arguments
Examples
Description
Predicitve Power approach to sample size recalculation
Usage
1
search.best.n.pred(nstart, nmax, D, beta0, scenario)
Arguments
nstart
Numeric values
nmax
Numeric values
D
Numeric values
beta0
Numeric values
scenario
Numeric values between 0 and 4
Examples
1
search.best.n.pred(nstart = 60,nmax = 300,D = 82,beta0 = 0.459,scenario = 1)
Palash63/RelativeM documentation built on Dec. 18, 2021, 6:39 a.m.
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Description Usage Arguments Examples
Description
Predicitve Power approach to sample size recalculation
Usage
1 | search.best.n.pred(nstart, nmax, D, beta0, scenario)
|
Arguments
nstart |
Numeric values |
nmax |
Numeric values |
D |
Numeric values |
beta0 |
Numeric values |
scenario |
Numeric values between 0 and 4 |
Examples
1 | search.best.n.pred(nstart = 60,nmax = 300,D = 82,beta0 = 0.459,scenario = 1)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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